Red X iconGreen tick iconYellow tick icon

Edited Book - Research

Ajmeri, N., Martin, A. M., & Savarimuthu, B. T. R. (Eds.). (2022). Coordination, organizations, institutions, norms, and ethics (COINE) for governance of multi-agent systems XV: Revised selected papers: Lecture notes in artificial intelligence (Vol. 13549). Cham, Switzerland: Springer, 241p. doi: 10.1007/978-3-031-20845-4

Aler Tubella, A., Cranefield, S., Frantz, C., Meneguzzi, F., & Vasconcelos, W. (Eds.). (2021). Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops: Lecture notes in artificial intelligence (Vol. 12298). Cham, Switzerland: Springer, 181p. doi: 10.1007/978-3-030-72376-7

Cranefield, S., Mahmoud, S., Padget, J., & Rocha, A. P. (Eds.). (2017). Coordination, organizations, institutions, and norms in agent systems XII: COIN 2016 International Workshops: Lecture notes in artificial intelligence (Vol. 10315). Cham, Switzerland: Springer, 171p. doi: 10.1007/978-3-319-66595-5

Cossentino, M., El Fallah Seghrouchni, A., & Winikoff, M. (Eds.). (2013). Engineering multi-agent systems: First International Workshop EMAS, revised selected papers: Lecture notes in computer science (Vol. 8245). Berlin, Germany: Springer, 391p. doi: 10.1007/978-3-642-45343-4

Cranefield, S., & Song, I. (Eds.). (2012). Agent based simulation for a sustainable society and multi-agent smart computing: PRIMA 2011 International Workshop: Lecture notes in artificial intelligence (Vol. 7580). Heidelberg, Germany: Springer, 125p. doi: 10.1007/978-3-642-35612-4

Cranefield, S., van Riemsdijk, M. B., Vázquez-Salceda, J., & Noriega, P. (Eds.). (2012). Coordination, organizations, institutions, and norms in agent system VII: COIN 2011 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 7254). Heidelberg, Germany: Springer, 221p. doi: 10.1007/978-3-642-35545-5

Desai, N., Liu, A., & Winikoff, M. (Eds.). (2012). Principles and practice of multi-agent systems: 13th International Conference PRIMA 2010, revised selected papers: Lecture notes in computer science (Vol. 7057). Berlin, Germany: Springer, 665p. doi: 10.1007/978-3-642-25920-3

Sakama, C., Sardina, S., Vasconcelos, W., & Winikoff, M. (Eds.). (2012). Declarative agent languages and technologies IX: 9th International Workshop DALT 2011, revised selected and invited papers: Lecture notes in artificial intelligence (Vol. 7169). Berlin, Germany: Springer, 153p. doi: 10.1007/978-3-642-29113-5

Chapter in Book - Research

Liesaputra, V., & Ott, C. (2022). Learning analytics enriched by emotions. In A. Kaplan (Ed.), Digital transformation and disruption of higher education. (pp. 361-376). Cambridge, UK: Cambridge University Press. doi: 10.1017/9781108979146.035

Srivathsan, S., Cranefield, S., & Pitt, J. (2022). A Bayesian model of information cascades. In A. Theodorou, J. C. Nieves & M. De Vos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIV: International workshop COINE 2021, revised selected papers: Lecture notes in artificial intelligence (Vol. 13239). (pp. 97-110). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-16617-4_7

Srivathsan, S., Cranefield, S., & Pitt, J. (2022). Reasoning about collective action in Markov logic: A case study from classical Athens. In N. Ajmeri, A. M. Martin & B. T. R. Savarimuthu (Eds.), Coordination, organizations, institutions, norms, and ethics (COINE) for governance of multi-agent systems XV: Revised selected papers: Lecture notes in artificial intelligence (Vol. 13549). (pp. 201-212). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20845-4_13

Zollmann, S., Langlotz, T., Regenbrecht, H., Button, C., Lo, W. H., & Mills, S. (2022). Augmented reality for sports spectating and coaching. In V. Tzankova & M. Filimowicz (Eds.), Interactive sports technologies: Performance, participation, safety. (pp. 96-111). New York, NY: Routledge. doi: 10.4324/9781003205111-7

Afshar Sedigh, A. H., Purvis, M. K., Savarimuthu, B. T. R., Frantz, C. K., & Purvis, M. A. (2021). Impact of different belief facets on agents' decision: A refined cognitive architecture to model the interaction between organisations' institutional characteristics and agents' behaviour. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 133-155). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_8

Cheriyan, J., Savarimuthu, B. T. R., & Cranefield, S. (2021). Norm violation in online communities: A study of Stack Overflow comments. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 20-34). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_2

Hale, L., Heinrich, C., Hoermann, S., Regenbrecht, H., & King, M. (2021). Engaging stroke survivors with virtual neurorehabilitation technology. In C. M. Hayre, D. J. Muller & M. J. Scherer (Eds.), Virtual reality in health and rehabilitation. (pp. 103-116). Boca Raton, FL: CRC Press. doi: 10.1201/9780429351365

Li, J., Deng, J. D., Adhia, D., & de Ridder, D. (2021). Resting-state EEG sex classification using selected brain connectivity representation. In T. D. Pham, H. Yan, M. W. Ashraf & F. Sjöberg (Eds.), Advances in artificial intelligence, computation, and data science: For medicine and life science. (pp. 319-329). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-69951-2_13

Murali, R., Patnaik, S., & Cranefield, S. (2021). Mining international political norms from the GDELT database. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 35-56). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_3

Savarimuthu, B. T. R., Licorish, S. A., Devananda, M., Greenheld, G., Dignum, V., & Dignum, F. (2021). Developers' responses to app review feedback: A study of communication norms in app development. In A. Aler Tubella, S. Cranefield, C. Frantz, F. Meneguzzi & W. Vasconcelos (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XIII: COIN 2017 & COINE 2020 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 12298). (pp. 57-75). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-030-72376-7_4

Cranefield, S., & Dignum, F. (2020). Incorporating social practices in BDI agent systems. In L. A. Dennis, R. H. Bordini & Y. Lespérance (Eds.), Engineering multi-agent systems: 7th International Workshop EMAS 2019, revised selected papers: Lecture notes in artificial intelligence (Vol. 12058). (pp. 109-126). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-51417-4_6

Ferrando, A., Winikoff, M., Cranefield, S., Dignum, F., & Mascardi, V. (2020). On enactability of agent interaction protocols: Towards a unified approach. In L. A. Dennis, R. H. Bordini & Y. Lespérance (Eds.), Engineering multi-agent systems: 7th International Workshop EMAS 2019, revised selected papers: Lecture notes in artificial intelligence (Vol. 12058). (pp. 43-64). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-51417-4_3

Afshar Sedigh, A. H., Frantz, C. K., Savarimuthu, B. T. R., Purvis, M. K., & Purvis, M. A. (2019). A comparison of two historical trader societies: An agent-based simulation study of English East India Company and New-Julfa. In P. Davidsson & H. Verhagen (Eds.), Multi-agent-based simulation XIX: 19th International Workshop MABS 2018, revised selected papers: Lecture notes in artificial intelligence (Vol. 11463). (pp. 17-31). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-22270-3_2

Tran, T. Q., Regenbrecht, H., & Tran, M.-T. (2019). Am I moving along a curve? A study on bicycle traveling-in-place techniques in virtual environments. In D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler & P. Zaphiris (Eds.), Human-Computer Interaction (INTERACT): Proceedings of the 17th IFIP TC 13 International Conference, Part IV; Lecture notes in computer science (Vol. 11749). (pp. 345-363). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-29390-1_19

Lee, S. H.-S., Deng, J. D., Purvis, M. K., Purvis, M., & Peng, L. (2018). An improved PBIL algorithm for optimal coalition structure generation of smart grids. In M. Ganji, L. Rashidi, B. C. M. Fung & C. Wang (Eds.), Trends and applications in knowledge discovery and data mining: PAKDD Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 11154). (pp. 345-356). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_33

Winikoff, M. (2018). Towards trusting autonomous systems. In A. El Fallah Seghrouchni, A. Ricci & T. C. Son (Eds.), Engineering multi-agent systems: Lectures notes in artificial intelligence (Vol. 10738). (pp. 3-20). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-91899-0_1

Winikoff, M., Dennis, L., & Fisher, M. (2018). Slicing agent programs for more efficient verification. In D. Weyns, V. Mascardi & A. Ricci (Eds.), Engineering multi-agent systems: 6th International Workshop EMAS, revised selected papers: Lecture notes in artificial intelligence (Vol. 11375). (pp. 139-157). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-25693-7_8

Alshaer, A., O'Hare, D., Hoermann, S., & Regenbrecht, H. (2017). The impact of the visual representation of the input device on driving performance in a power wheelchair simulator. In W. Powell, A. Skip Rezzo, P. M. Sharkey & J. Merrick (Eds.), Virtual reality: Recent advances in virtual rehabilitation system design. (pp. 45-61). Nova Science.

Shahi, A., Woodford, B. J., & Lin, H. (2017). Dynamic real-time segmentation and recognition of activities using a multi-feature windowing approach. In U. Kang, E.-P. Lim, J. X. Yu & Y.-S. Moon (Eds.), Trends and applications in knowledge discovery and data mining: PAKDD Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 10526). (pp. 26-38). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-67274-8_3

Gu, X., & Purvis, M. (2016). Image segmentation with superpixel based covariance descriptor. In H. Cao, J. Li & R. Wang (Eds.), Trends and applications in knowledge discovery and data mining: PAKDD 2016 Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9794). (pp. 154-165). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-42996-0_13

Jahanbazi, M., Frantz, C., Purvis, M., & Purvis, M. (2016). The role of knowledge keepers in an artificial primitive human society: An agent-based approach. In V. Dignum, P. Noriega, M. Sensoy & J. S. Sichman (Eds.), Coordination, organizations, institutions, and norms in agent systems XI: COIN 2015 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9628). (pp. 154-172). Cham, Switzerland: Springer International. doi: 10.1007/978-3-319-42691-4_9

Lin, H., Deng, J. D., & Woodford, B. J. (2016). Shot boundary detection using multi-instance incremental and decremental one-class support vector machine. In J. Bailey, L. Khan, T. Washio, G. Dobbie, J. Z. Huang & R. Wang (Eds.), Advances in knowledge discovery and data mining: Proceedings of the 20th Pacific-Asia Conference PAKDD, part 1: Lecture Notes in Artificial Intelligence (Vol. 9651). (pp. 165-176). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-31753-3_14

Winikoff, M. (2016). How testable are BDI agents? An analysis of branch coverage. In M. Baldoni, J. P. Müller, I. Nunes & R. Zalila-Wenkstern (Eds.), Engineering multi-agent systems: 4th International Workshop EMAS, revised, selected, and invited papers: Lecture notes in artificial intelligence (Vol. 10093). (pp. 210-223). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-50983-9_12

Winikoff, M. (2016). How testable are BDI agents? An analysis of branch coverage. In N. Osman & C. Sierra (Eds.), Autonomous agents and multiagent systems: AAMAS Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 10002). (pp. 90-106). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46882-2_6

Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Agent-based modeling of resource allocation in software projects based on personality and skill. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 130-146). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_9

Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). The effects of temperament and team formation mechanism on collaborative learning of knowledge and skill in short-term projects. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 48-65). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_4

Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2015). Analysing the apprenticeship system in the Maghribi Traders Coalition. In F. Grimaldo & E. Norling (Eds.), Multi-agent-based simulation XV: International Workshop MABS 2014, revised selected papers: Lecture notes in artificial intelligence (Vol. 9002). (pp. 180-196). Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-14627-0_13

Frantz, C., Purvis, M. K., Purvis, M. A., Nowostawski, M., & Lewis, N. D. (2015). Fuzzy modeling of economic institutional rules. In A. Sadeghian & H. Tahayori (Eds.), Frontiers of higher order fuzzy sets. (pp. 87-129). New York: Springer.

Frantz, C., Purvis, M., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling the impact of role specialisation on cooperative behaviour in historic trader scenarios. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X: COIN 2014 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9372). (pp. 53-71). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Jahanbazi, M., Frantz, C., Purvis, M., & Purvis, M. (2015). Building an artificial primitive human society: An agent-based approach. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X: COIN 2014 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9372). (pp. 89-96). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Improving energy outcomes in dynamically formed micro-grid coalitions. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X: COIN 2014 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 9372). (pp. 251-267). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Cranefield, S. (2014). Agents and expectations. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 234-255). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_13

Farhangian, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Modelling the effects of personality and temperament in small teams. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 25-41). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_2

Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2014). Modelling institutions using dynamic deontics. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 211-233). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_12

Hoermann, S., Hale, L., Winser, S. J., & Regenbrecht, H. (2014). Patient engagement and clinical feasibility of augmented reflection technology for stroke rehabilitation. In P. M. Sharkey & J. Merrick (Eds.), Virtual reality: Rehabilitation in motor, cognitive and sensorial disorders. (pp. 95-106). New York: Nova Science.

Padgham, L., Thangarajah, J., & Winikoff, M. (2014). Prometheus research directions. In O. Shehory & A. Sturm (Eds.), Agent-oriented software engineering: Reflections on architectures, methodologies, languages and frameworks. (pp. 155-171). Berlin, Germany: Springer. doi: 10.1007/978-3-642-54432-3_8

Savarimuthu, B. T. R., & Dam, H. K. (2014). Towards mining norms in open source software repositories. In L. Cao, Y. Zeng, A. L. Symeonidis, V. Gorodetsky, J. P. Müller & P. S. Yu (Eds.), Agents and data mining interaction: 9th International Workshop ADMI 2013, revised selected papers: Lecture notes in artificial intelligence (Vol. 8316). (pp. 26-39). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-55192-5_3

Yasir, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Intelligent battery strategies for local energy distribution. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX: COIN 2013 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 8386). (pp. 63-80). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_4

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2014). An intelligent learning mechanism for trading strategies for local energy distribution. In S. Ceppi, E. David, V. Podobnik, V. Robu, O. Shehory, S. Stein & I. A. Vetsikas (Eds.), Agent-mediated electronic commerce: Designing trading strategies and mechanisms for electronic markets (LNBIP 187). (pp. 159-170). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-13218-1_12

Andrighetto, G., Cranefield, S., Conte, R., Purvis, M., Purvis, M., Savarimuthu, B. T. R., & Villatoro, D. (2013). (Social) norms and agent-based simulation. In S. Ossowski (Ed.), Agreement technologies: Law, governance and technology series (Vol. 8). (pp. 181-189). Dordrecht, The Netherlands: Springer. doi: 10.1007/978-94-007-5583-3_11

Balke, T., Cranefield, S., Di Tosto, G., Mahmoud, S., Paolucci, M., Savarimuthu, B. T. R., & Verhagen, H. (2013). Simulation and NorMAS. In G. Andrighetto, G. Governatori, P. Noriega & L. W. N. van der Torre (Eds.), Normative multi-agent systems. (pp. 171-189). Dagstuhl, Germany: Schloss Dagstuhl. doi: 10.4230/DFU.Vol4.12111.171

Cranefield, S., & Ranathunga, S. (2013). Embedding agents in business processes using enterprise integration patterns. In M. Cossentino, A. El Fallah Seghrouchni & M. Winikoff (Eds.), Engineering multi-agent systems: First International Workshop EMAS, revised selected papers: Lecture notes in computer science (Vol. 8245). (pp. 97-116). Berlin, Germany: Springer. doi: 10.1007/978-3-642-45343-4_6

Ghose, A., & Savarimuthu, T. B. R. (2013). Norms as objectives: Revisiting compliance management in multi-agent systems. In H. Aldewereld & J. S. Sichman (Eds.), Coordination, organizations, institutions, and norms in agent systems VIII: 14th International Workshop COIN 2012, revised selected papers: Lecture notes in artificial intelligence (Vol. 7756). (pp. 105-122). Berlin, Germany: Springer. doi: 10.1007/978-3-642-37756-3_7

Nowostawski, M. (2013). Meta-evolution modelling: Beyond selection/mutation-based models. In N. T. Nguyen, B. Trawiński, R. Katarzyniak & G.-S. Jo (Eds.), Advanced methods for computational collective intelligence: Studies in computational intelligence (Vol. 457). (pp. 249-258). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-34300-1_24

Nowostawski, M., & Münster, J. (2013). A virtual spatiotemporal annotation system: The virtual stickies mobile augmented reality study. In A. Moore & I. Drecki (Eds.), Geospatial visualisation. (pp. 159-182). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-12289-7_8

Ranathunga, S., & Cranefield, S. (2013). Improving situation awareness in intelligent virtual agents. In F. Dignum, C. Brom, K. Hindriks, M. Beer & D. Richards (Eds.), Cognitive agents for virtual environments: First International Workshop CAVE 2012, revised selected papers: Lecture notes in artificial intelligence (Vol. 7764). (pp. 134-148). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-36444-0_9

Savarimuthu, S., & Winikoff, M. (2013). Mutation operators for the GOAL agent language. In M. Cossentino, A. El Fallah Seghrouchni & M. Winikoff (Eds.), Engineering multi-agent systems: First International Workshop EMAS, revised selected papers: Lecture notes in computer science (Vol. 8245). (pp. 255-273). Berlin, Germany: Springer. doi: 10.1007/978-3-642-45343-4_14

Shah, M., Deng, J., & Woodford, B. (2013). Illumination invariant background model using mixture of Gaussians and SURF features. In J.-I. Park & J. Kim (Eds.), Computer vision: ACCV 2012 International Workshops, revised selected papers, part 1: Lecture notes in computer science (Vol. 7728). (pp. 308-314). Berlin, Germany: Springer. doi: 10.1007/978-3-642-37410-4_27

Singh, M. P., Arrott, M., Balke, T., Chopra, A., Christiaanse, R., Cranefield, S., … Savarimuthu, B. T. R., … Villata, S. (2013). The uses of norm. In G. Andrighetto, G. Governatori, P. Noriega & L. W. N. van der Torre (Eds.), Normative multi-agent systems. (pp. 191-229). Dagstuhl, Germany: Schloss Dagstuhl. doi: 10.4230/DFU.Vol4.12111.191

Winikoff, M., & Padgham, L. (2013). Agent oriented software engineering. In G. Weiss (Ed.), Multiagent Systems. (2nd ed.) (pp. 695-757). Cambridge, MA: MIT Press.

Cranefield, S., Winikoff, M., & Vasconcelos, W. (2012). Modelling and monitoring interdependent expectations. In S. Cranefield, M. B. van Riemsdijk, J. Vázquez-Salceda & P. Noriega (Eds.), Coordination, organizations, institutions, and norms in agent system VII: COIN 2011 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 7254). (pp. 149-166). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35545-5_9

Ebadi, T., Purvis, M., & Purvis, M. K. (2012). A Colored Petri Net model to represent the interactions between a set of cooperative agents. In D. Beneventano, Z. Despotovic, F. Guerra, S. Joseph, G. Moro & A. Perreau de Pinninck (Eds.), Agents and peer-to-peer computing: 7th & 8th International Workshops AP2PC 2008, 2009, revised selected papers: Lecture notes in artificial intelligence (Vol. 6573). (pp. 141-152). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31809-2_13

Frantz, C., Nowostawski, M., & Purvis, M. K. (2012). Augmenting Android with AOSE principles for enhanced functionality reuse in mobile applications. In F. Dechesne, H. Hattori, A. ter Mors, J. M. Such, D. Weyns & F. Dignum (Eds.), Advanced agent technology: AAMAS 2011 Workshops, revised selected papers: Lecture notes in computer science (Vol. 7068). (pp. 187-211). Berlin, Germany: Springer. doi: 10.1007/978-3-642-27216-5_13

Frantz, C., Nowostawski, M., & Purvis, M. K. (2012). Micro-agents on Android: Interfacing agents with mobile applications. In F. Dechesne, H. Hattori, A. ter Mors, J. M. Such, D. Weyns & F. Dignum (Eds.), Advanced agent technology: AAMAS 2011 Workshops, revised selected papers: Lecture notes in computer science (Vol. 7068). (pp. 488-502). Berlin, Germany: Springer. doi: 10.1007/978-3-642-27216-5_37

Ghandour, A., Deans, K. R., & Benwell, G. L. (2012). Issues facing website evaluation: Identifying a gap. In Z. Belkhamza & S. A. Wafa (Eds.), Measuring organizational information systems success: New technologies and practices. (pp. 233-252). Hershey, PA: Business Science Reference. doi: 10.4018/978-1-4666-0170-3.ch012

Ghandour, A., Deans, K. R., & Benwell, G. L. (2012). Website evaluation criteria: An owner’s perspective. In Z. Belkhamza & S. A. Wafa (Eds.), Measuring organizational information systems success: New technologies and practices. (pp. 253-275). Hershey, PA: Business Science Reference. doi: 10.4018/978-1-4666-0170-3.ch013

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Integrating expectation monitoring into BDI agents. In L. Dennis, O. Boissier & R. H. Bordini (Eds.), Programming multi-agent systems: 9th International Workshop ProMAS 2011, revised selected papers: Lecture notes in artificial intelligence (Vol. 7217). (pp. 74-91). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31915-0_5

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Interfacing a cognitive agent platform with Second Life. In M. Beer, Brom, F. Dignum & V.-W. Soo (Eds.), Agents for educational games and simulations: International Workshop AEGS 2011, revised papers: Lecture notes in artificial intelligence (Vol. 7471). (pp. 1-21). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-32326-3_1

Savarimuthu, B. T. R., Purvis, M., & Verhagen, H. (2012). An agent-based simulation of employing social norms in energy conservation in households. In S. Cranefield & I. Song (Eds.), Agent based simulation for a sustainable society and multi-agent smart computing: International Workshops PRIMA 2011, revised selected papers: Lecture notes in artificial intelligence (Vol. 7580). (pp. 16-31). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-35612-4_2

Savarimuthu, S., Purvis, M., & Purvis, M. K. (2012). Altruistic sharing using tags. In D. Beneventano, Z. Despotovic, F. Guerra, S. Joseph, G. Moro & A. Perreau de Pinninck (Eds.), Agents and peer-to-peer computing: 7th & 8th International Workshops AP2PC 2008, 2009, revised selected papers: Lecture notes in artificial intelligence (Vol. 6573). (pp. 1-12). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31809-2_1

Savarimuthu, S., Purvis, M., Savarimuthu, B. T. R., & Purvis, M. (2012). Gossip-based self-organising open agent societies. In N. Desai, A. Liu & M. Winikoff (Eds.), Principles and practice of multi-agent systems: 13th International Conference PRIMA 2010, revised selected papers: Lecture notes in artificial intelligence (Vol. 7057). (pp. 105-120). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-25920-3_8

Winikoff, M. (2012). An integrated formal framework for reasoning about goal interactions. In C. Sakama, S. Sardina, W. Vasconcelos & M. Winikoff (Eds.), Declarative agent languages and technologies IX: 9th International Workshop DALT 2011, revised selected and invited papers: Lecture notes in artificial intelligence (Vol. 7169). (pp. 16-32). Berlin, Germany: Springer. doi: 10.1007/978-3-642-29113-5

Deng, J. D. (2011). Feature analysis for object and scene categorization. In H. Kwasnicka & L. C. Jain (Eds.), Innovations in intelligent image analysis: Studies in computational intelligence (Vol. 339). (pp. 225-244). Berlin, Germany: Springer. doi: 10.1007/978-3-642-17934-1_10

Nowostawski, M., & Gecow, A. (2011). Identity criterion for living objects based on the entanglement measure. In R. Katarzyniak, T.-F. Chiu, C.-F. Hong & N. T. Nguyen (Eds.), Semantic methods for knowledge management and communication. (pp. 159-169). Berlin: Springer. doi: 10.1007/978-3-642-23418-7

Savarimuthu, B. T. R., Cranefield, S., Purvis, M. A., & Purvis, M. K. (2011). Identifying conditional norms in multi-agent societies. In M. de Vos, N. Fornara, J. V. Pitt & G. Vouros (Eds.), Coordination, organizations, institutions, and norms in agent systems VI: COIN 2010 International Workshops, revised selected papers: Lecture notes in artificial intelligence (Vol. 6541). (pp. 285-302). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-21268-0

Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2011). Mechanisms for the self-organization of peer groups in agent societies. In T. Bosse, A. Geller & C. M. Jonker (Eds.), Multi-agent-based simulation XI: International Workshop MABS 2010: Lecture notes in artificial intelligence (Vol. 6532). (pp. 93-107). Berlin, Germany: Springer. doi: 10.1007/978-3-642-18345-4_7

Thalheim, B., & Wang, Q. (2011). Towards a theory of refinement for data migration. In M. A. Jeusfeld, L. Delcambre & T. W. Ling (Eds.), Conceptual modeling: Proceedings of the 20th International ER Conference: Lecture notes in computer science (Vol. 6998). (pp. 318-331). Berlin, Germany: Springer. doi: 10.1007/978-3-642-24606-7_24

Wang, Q. (2011). A proof system with bounded non-determinism in database transformations. In K.-D. Schewe & B. Thalheim (Eds.), Semantics in data and knowledge bases: 4th International Workshop SDKB 2010, revised selected papers: Lecture notes in computer science (Vol. 6834). (pp. 114-133). Berlin, Germany: Springer. doi: 10.1007/978-3-642-23441-5_7

Cranefield, S., & Li, G. (2010). Monitoring social expectations in Second Life. In J. Padget, A. Artikis, W. Vasconcelos, K. Stathis, V. Torres da Silva, E. Matson & A. Polleres (Eds.), Coordination, organizations, institutions, and norms in agent systems V: Lecture notes in artificial intelligence (Vol. 6069). (pp. 133-146). Berlin, Germany: Springer. doi: 10.1007/978-3-642-14962-7_9

Keshariya, A., & Foukia, N. (2010). DDoS Defense Mechanisms: A new taxonomy. In J. Garcia-Alfaro, G. Navarro-Arribas, N. Cuppens-Boulahia & Y. Roudier (Eds.), Data privacy management and autonomous spontaneous security: Lecture notes in computer science (Vol. 5939). (pp. 222-236). Berlin, Germany: Springer. doi: 10.1007/978-3-642-11207-2_17

Savarimuthu, B. T. R., Cranefield, S., Purvis, M. A., & Purvis, M. K. (2010). Internal agent architecture for norm identification. In J. Padget, A. Artikis, W. Vasconcelos, K. Stathis, V. Torres da Silva, E. Matson & A. Polleres (Eds.), Coordination, organizations, institutions and norms in agent systems V: Lecture notes in artificial intelligence (Vol. 6069). (pp. 241-256). Berlin, Germany: Springer.

Savarimuthu, B. T. R., Cranefield, S., Purvis, M., & Purvis, M. (2010). A data mining approach to identify obligation norms in agent societies. In L. Cao, A. L. C. Bazzan, V. Gorodetsky, P. A. Mitkas, G. Weiss & P. S. Yu (Eds.), Agents and data mining interaction: 6th International Worksho ADMI, revised selected papers: Lecture notes in computer science (Vol. 5980). (pp. 43-58). Berlin, Germany: Springer. doi: 10.1007/978-3-642-15420-1_5

Stanger, N. (2010). The digitisation of New Zealand's research, heritage and culture. In J. Toland (Ed.), Return to tomorrow: 50 years of computing in New Zealand. (pp. 139-156). Wellington, New Zealand: New Zealand Computer Society.

Winikoff, M. (2010). Assurance of agent systems: What role should formal verification play? In M. Dastani, K. V. Hindriks & J.-J. C. Meyer (Eds.), Specification and verification of multi-agent systems. (pp. 353-383). New York: Springer Science+Business Media. doi: 10.1007/978-1-4419-6984-2

Wolfe, H. B. (2010). A history of ICT: Selected highlights. In J. Toland (Ed.), Return to tomorrow: 50 years of computing in New Zealand. (pp. 25-37). Wellington, New Zealand: New Zealand Computer Society.

Journal - Research Article

Baker, L., Ventura, J., Langlotz, T., Gul, S., Mills, S., & Zollmann, S. (2024). Localization and tracking of stationary users for augmented reality. Visual Computer, 40, 227-244. doi: 10.1007/s00371-023-02777-2

Hong, J., Langlotz, T., Sutton, J., & Regenbrecht, H. (2024). Visual noise cancellation: Exploring visual discomfort and opportunities for vision augmentations. ACM Transactions on Computer-Human Interaction, 31(2), 22. doi: 10.1145/3634699

Licorish, S. A., Alencar da Costa, D., Zolduoarrati, E., & Grattan, N. (2024). Relating team atmosphere and group dynamics to student software development teams’ performance. Information & Software Technology, 167, 107377. doi: 10.1016/j.infsof.2023.107377

Tate, M., Zwanenburg, S., & Clarke, R. J. (2024). Generating stakeholder value through increasingly hybridized conferences: Insights from 30 years of ACIS conferences. Communications of the Association for Information Systems. Advance online publication. Retrieved from https://aisel.aisnet.org/cais/vol54/iss1/27/

Alencar da Costa, D., Grattan, N., Stanger, N., & Licorish, S. A. (2023). Studying the characteristics of SQL-related development tasks: An empirical study. Empirical Software Engineering, 28, 69. doi: 10.1007/s10664-023-10295-x

Amaral, C. J., Hübner, J. F., & Cranefield, S. (2023). Generating and choosing organisations for multi-agent systems. Autonomous Agents & Multi-Agent Systems, 37, 41. doi: 10.1007/s10458-023-09623-8

Bernardo, J. H., Alencar da Costa, D., Kulesza, U., & Treude, C. (2023). The impact of a continuous integration service on the delivery time of merged pull requests. Empirical Software Engineering, 28, 97. doi: 10.1007/s10664-023-10327-6

Cross, J. H., Bohne, C., Ngwala, S. K., Shabani, J., Wainaina, J., Dosunmu, O., … Paton, C., … and with NEST360 Neonatal Inpatient Dataset Learning Group. (2023). Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: Systematic development and multi-country operationalisation with NEST360. BMC Pediatrics, 23(Suppl. 2), 567. doi: 10.1186/s12887-023-04341-2

Ebner, C., Mohr, C., Langlotz, T., Peng, Y., Schmalstieg, D., Wetzstein, G., & Kalkofen, D. (2023). Off-axis layered displays: Hybrid direct-view/near-eye mixed reality with focus cues. IEEE Transactions on Visualization & Computer Graphics. Advance online publication. doi: 10.1109/TVCG.2023.3247077

Falessi, D., Laureani, S. M., Çarka, J., Esposito, M., & Alencar da Costa, D. (2023). Enhancing the defectiveness prediction of methods and classes via JIT. Empirical Software Engineering, 28, 37. doi: 10.1007/s10664-022-10261-z

Kent, S., Houghton, L., & Licorish, S. (2023). Towards an understanding of the relationship between institutional theory, affective events theory, negative discrete emotions, and the development of feral systems when using human resource information systems. Computers in Human Behavior Reports, 9, 100264. doi: 10.1016/j.chbr.2022.100264

Lo, W. H., Regenbrecht, H., & Zollmann, S. (2023). Sports visualization in the wild: The impact of technical factors on user experience in Augmented Reality sports spectating. IEEE Computer Graphics & Applications, 1-11. Advance online publication. doi: 10.1109/MCG.2023.3308958

Muinga, N., Tuti, T., Mwaniki, P., Gicheha, E., Paton, C., . . ., & English, M. (2023). Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis. PLOS Global Public Health, 3(11), e0002440. doi: 10.1371/journal.pgph.0002440

Nakhoda, M., Whigham, P., & Zwanenburg, S. (2023). Quantifying and addressing uncertainty in the measurement of interdisciplinarity. Scientometrics, 128, 6107-6127. doi: 10.1007/s11192-023-04822-2

Ndukwe, I. G., Licorish, S. A., & MacDonell, S. G. (2023). Perceptions on the utility of community question and answer websites like Stack Overflow to software developers. IEEE Transactions on Software Engineering, 49(4), 2413-2425. doi: 10.1109/TSE.2022.3220236

Ndukwe, I. G., Licorish, S. A., Tahir, A., & MacDonell, S. G. (2023). How have views on software quality differed over time? Research and practice viewpoints. Journal of Systems & Software, 195, 111524. doi: 10.1016/j.jss.2022.111524

Nguyen, Q. H., Ming, D. K., Luu, A. P., Chanh, H. Q., Tam, D. T. H., Truong, N. T., … Paton, C., … on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) Investigators, including . (2023). Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. BMC Medical Informatics & Decision Making, 23, 24. doi: 10.1186/s12911-023-02116-4

Omondiagbe, O. P., Lilburne, L. R., Licorish, S. A., & MacDonell, S. G. (2023). Soil texture prediction with automated deep convolutional neural networks and population-based learning. Geoderma, 436, 116521. doi: 10.1016/j.geoderma.2023.116521

Owen, C. A., Dick, G., & Whigham, P. A. (2023). Using decomposed error for reproducing implicit understanding of algorithms. Evolutionary Computation. Advance online publication. doi: 10.1162/evco_a_00321

Pang, Y., Zhang, H., Deng, J. D., Peng, L., & Teng, F. (2023). Collaborative learning with heterogeneous local models: A rule-based knowledge fusion approach. IEEE Transactions on Knowledge & Data Engineering. Advance online publication. doi: 10.1109/TKDE.2023.3341808

Rahimi, S., Moore, A. B., Whigham, P. A., & Dillingham, P. (2023). Counterfactual reasoning in space and time: Integrating graphical causal models in computational movement analysis. Transactions in GIS. Advance online publication. doi: 10.1111/tgis.13100

Savarimuthu, B. T. R., Corbett, J., Yasir, M., & Lakshmi, V. (2023). Improving information systems sustainability by applying machine learning to detect and reduce data waste. Communications of the Association for Information Systems, 53, 189-213. doi: 10.17705/1CAIS.05308

Shamoug, A., Cranefield, S., & Dick, G. (2023). SEmHuS: A semantically embedded humanitarian space. Journal of International Humanitarian Action, 8(3). doi: 10.1186/s41018-023-00135-4

Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2023). How are decisions made in open source software communities? Uncovering rationale from python email repositories. Journal of Software: Evolution & Process. Advance online publication. doi: 10.1002/smr.2526

Wlasak, W., Zwanenburg, S. P., & Paton, C. (2023). Supporting autonomous motivation for physical activity with chatbots during COVID-19: Factorial experiment. JMIR Formative Research, 7, e38500. doi: 10.2196/38500

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2023). Secondary studies on human aspects in software engineering: A tertiary study. Journal of Systems & Software, 200, 111654. doi: 10.1016/j.jss.2023.111654

Afshar Sedigh, A. H., Purvis, M., Savarimuthu, T. B. R., Frantz, C. K., & Purvis, M. (2022). A comparative study on apprenticeship systems using agent-based simulation. Journal of Artificial Societies & Social Simulation, 25(1), 1. doi: 10.18564/jasss.4733

Bennin, K. E., Tahir, A., MacDonell, S. G., & Börstler, J. (2022). An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction. IET Software, 16, 185-199. doi: 10.1049/sfw2.12052

Caluya, N. R., Plopski, A., Sandor, C., Fujimoto, Y., Kanbara, M., & Kato, H. (2022). Does overlay field of view in head-mounted displays affect spatial memorization? Computers & Graphics, 102, 554-565. doi: 10.1016/j.cag.2021.09.004

Corbett, J., & Savarimuthu, B. T. R. (2022). From tweets to insights: A social media analysis of the emotion discourse of sustainable energy in the United States. Energy Research & Social Science, 89, 102515. doi: 10.1016/j.erss.2022.102515

Cornwall, J., English, S., Woodford, B., Elliot, J., & McAuley, K. (2022). An exploration of Aotearoa New Zealanders' attitudes and perceptions on the use of posthumous healthcare data. New Zealand Medical Journal, 135(1554), 44-54. Retrieved from https://www.nzma.org.nz/journal

Ghaleb, T. A., Alencar da Costa, D., & Zou, Y. (2022). On the popularity of internet of things projects in online communities An empirical study of Hackster.io. Information Systems Frontiers, 24, 1601-1634. doi: 10.1007/s10796-021-10157-1

Heinrich, C., Morkisch, N., Langlotz, T., Regenbrecht, H., & Dohle, C. (2022). Feasibility and psychophysical effects of immersive virtual reality‑based mirror therapy. Journal of NeuroEngineering & Rehabilitation, 19, 107. doi: 10.1186/s12984-022-01086-4

Hou, J., Ding, X., Deng, J. D., & Cranefield, S. (2022). Deep adversarial transition learning using cross-grafted generative stacks. Neural Networks, 149, 172-183. doi: 10.1016/j.neunet.2022.02.011

Kuhrmann, M., Tell, P., Hebig, R., Klünder, J., Münch, J., Linssen, O., … Licorish, S. A., … Richardson, I. (2022). What makes agile software development agile? IEEE Transactions on Software Engineering, 48(9), 3523-3539. doi: 10.1109/tse.2021.3099532

Licorish, S. A., & Lötter, A. L. J. (2022). When does Kahoot! provide most value for classroom dynamics, engagement, and motivation?: IS students’ and lecturers’ perceptions. Journal of Information Systems Education, 33(3), 245-260.

Licorish, S., Galster, M., Kapitsaki, G. M., & Tahir, A. (2022). Understanding students’ software development projects: Effort, performance, satisfaction, skills and their relation to the adequacy of outcomes developed. Journal of Systems & Software, 186, 111156. doi: 10.1016/j.jss.2021.111156

Lo, W. H., Zollmann, S., & Regenbrecht, H. (2022). Stats on-site: Sports spectator experience through situated visualizations. Computers & Graphics, 102, 99-111. doi: 10.1016/j.cag.2021.12.009

Lu, P., Ghiasi, S., Hagenah, J., Hai, H. B., Hao, N. V., Khanh, P. N. Q., … VITAL Consortium, including Paton, C., … Zhu, T. (2022). Classification of tetanus severity in intensive-care settings for low-income countries using wearable sensing. Sensors, 22, 6554. doi: 10.3390/ s22176554

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Automatically generating taxonomy for grouping app reviews: A study of three apps. Software Quality Journal, 30, 483-512. doi: 10.1007/s11219-021-09570-1

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2022). Prioritizing user concerns in app reviews: A study of requests for new features, enhancements and bug fixes. Information & Software Technology, 144, 106798. doi: 10.1016/j.infsof.2021.106798

Muinga, N., Abejirinde, I.-O. O., Benova, L., Paton, C., English, M., & Zweekhorst, M. (2022). Implementing a comprehensive newborn monitoring chart: Barriers, enablers, and opportunities. PLOS Global Public Health, 2(7), e0000624. doi: 10.1371/journal.pgph.0000624

Nkolika Ezenwa, B., Umoren, R., Bamikeolu Fajolu, I., Hippe, D. S., Bucher, S., Purkayastha, S., … Paton, C., & Chinyere Ezeaka, V. (2022). Using mobile virtual reality simulation to prepare for in-person Helping Babies Breathe training: Secondary analysis of a randomized controlled trial (the eHBB/mHBS Trial). JMIR Medical Education, 8(3), e37297. doi: 10.2196/37297

Owen, C. A., Dick, G., & Whigham, P. A. (2022). Standardization and data augmentation in genetic programming. IEEE Transactions on Evolutionary Computation, 26(6), 1596-1608. doi: 10.1109/TEVC.2022.3160414

Owen, P. D., & Owen, C. A. (2022). Simulation evidence on Herfindahl-Hirschman measures of competitive balance in professional sports leagues. Journal of the Operational Research Society, 73(2), 285-300. doi: 10.1080/01605682.2020.1835449

Plopski, A., Hirzle, T., Norouzi, N., Qian, L., Bruder, G., & Langlotz, T. (2022). The eye in Extended Reality: A survey on gaze interaction and eye tracking in head-worn Extended Reality. ACM Computing Surveys, 55(3), 53. doi: 10.1145/3491207

Rahimi, S., Moore, A. B., & Whigham, P. A. (2022). A vector-agent approach to (spatiotemporal) movement modelling and reasoning. Scientific Reports, 12(1), 21179. doi: 10.1038/s41598-022-22056-9

Regenbrecht, H., Park, N., Duncan, S., Mills, S., Lutz, R., Lloyd-Jones, L., Ott, C., … Whaanga, H. (2022). Ātea presence: Enabling virtual storytelling, presence, and tele-co-presence in an Indigenous setting. IEEE Technology & Society, 41(1), 32-42. doi: 10.1109/MTS.2022.3147525

Regenbrecht, H., Zwanenburg, S., & Langlotz, T. (2022). Pervasive augmented reality: Technology and ethics. IEEE Pervasive Computing, 21(3), 84-91. doi: 10.1109/MPRV.2022.3152993

Safayet Arefin, M., Phillips, N., Plopski, A., Gabbard, J. L., & Swan, II, J. E. (2022). The effect of context switching, focal switching distance, binocular and monocular viewing, and transient focal blur on human performance in optical see-through augmented reality. IEEE Transactions on Visualization & Computer Graphics, 28(5), 2014-2025. doi: 10.1109/TVCG.2022.3150503

Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2022). Unearthing open source decision-making processes: A case study of python enhancement proposals. Software: Practice & Experience, 52, 2312-2346. doi: 10.1002/spe.3128

Shoman, S., Mashita, T., Plopski, A., Ratsamee, P., & Uranishi, Y. (2022). Real-to-synthetic feature transform for illumination invariant camera localization. IEEE Computer Graphics & Applications, 42(1), 47-55. doi: 10.1109/MCG.2020.3041617

Sutton, J., Langlotz, T., & Plopski, A. (2022). Seeing colours: Addressing colour vision deficiency with vision augmentations using computational glasses. ACM Transactions on Computer-Human Interaction, 29(3), 26. doi: 10.1145/3486899

Tetereva, A., Li, J., Deng, J. D., Stringaris, A., & Pat, N. (2022). Capturing brain-cognition relationship: Integrating task-based fMRI across tasks markedly boosts prediction and test-retest reliability. NeuroImage, 263, 119588. doi: 10.1016/j.neuroimage.2022.119588

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., … DECIDE-AI expert group, including Paton, C. (2022). Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI [Consensus statement]. Nature Medicine, 28, 924-933. doi: 10.1038/s41591-022-01772-9

Wambua, S., Malla, L., Mbevi, G., Kandiah, J., Nwosu, A.-P., Tuti, T., Paton, C., … Okiro, E. A. (2022). Quantifying the indirect impact of COVID-19 pandemic on utilisation of outpatient and immunisation services in Kenya: a longitudinal study using interrupted time series analysis. BMJ Open, 12, e055815. doi: 10.1136/ bmjopen-2021-055815

Wimalasooriya, C., Licorish, S. A., Alencar da Costa, D., & MacDonell, S. G. (2022). A systematic mapping study addressing the reliability of mobile applications: The need to move beyond testing reliability. Journal of Systems & Software, 186, 111166. doi: 10.1016/j.jss.2021.111166

Zhao, Y., Alencar da Costa, D., & Zou, Y. (2022). Composing web services using a multi-agent framework. IEEE Transactions on Services Computing, 15(4), 2100-2113. doi: 10.1109/TSC.2020.3032976

Zolduoarrati, E., Licorish, S. A., & Stanger, N. (2022). Impact of individualism and collectivism cultural profiles on the behaviour of software developers: A study of stack overflow. Journal of Systems & Software, 192, 111427. doi: 10.1016/j.jss.2022.111427

Zwanenburg, S., Nakhoda, M., & Whigham, P. (2022). Toward greater consistency and validity in measuring interdisciplinarity: A systematic and conceptual evaluation. Scientometrics, 127, 7769-7788. doi: 10.1007/s11192-022-04310-z

Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2021). Mining brand value propositions on Twitter: Exploring the link between marketer-generated content and eWOM outcomes. Social Network Analysis & Mining, 11, 83. doi: 10.1007/s13278-021-00790-8

Attygalle, N. T., Leiva, L. A., Kljun, M., Sandor, C., Plopski, A., Kato, H., & Čopič Pucihar, K. (2021). No interface, no problem: Gesture recognition on physical objects using radar sensing. Sensors, 21, 5771. doi: 10.3390/s21175771

Collins, J., Regenbrecht, H., & Langlotz, T. (2021). Expertise and experience in VR-supported learning: Achieving a deep non-verbal comprehension of four-dimensional space. International Journal of Human-Computer Studies, 152, 102649. doi: 10.1016/j.ijhcs.2021.102649

Cranefield, S. (2021). Enabling BDI group plans with coordination middleware: Semantics and implementation. Autonomous Agents & Multi-Agent Systems, 35, 45. doi: 10.1007/s10458-021-09525-7

Fan, Y., Xia, X., Alencar da Costa, D., Lo, D., Hassan, A. E., & Li, S. (2021). The impact of changes mislabeled by SZZ on just-in-time defect prediction. IEEE Transactions on Software Engineering, 47(8), 1559-1586. doi: 10.1109/TSE.2019.2929761

Fuvattanasilp, V., Fujimoto, Y., Plopski, A., Taketomi, T., Sandor, C., Kanbara, M., & Kato, H. (2021). SlidAR+: Gravity-aware 3D object manipulation for handheld augmented reality. Computers & Graphics, 95, 23-35. doi: 10.1016/j.cag.2021.01.005

Ghaleb, T. A., Alencar da Costa, D., Zou, Y., & Hassan, A. E. (2021). Studying the impact of noises in build breakage data. IEEE Transactions on Software Engineering, 47(9), 1998-2011. doi: 10.1109/TSE.2019.2941880

Ghandour, A., & Woodford, B. J. (2021). Regulating Internet of Things: The case of the United Arab Emirates. TEM Journal, 10(3), 1031-1038. doi: 10.18421/TEM103-04

Heinrich, C., Cook, M., Langlotz, T., & Regenbrecht, H. (2021). My hands? Importance of personalised virtual hands in a neurorehabilitation scenario. Virtual Reality, 25, 313-330. doi: 10.1007/s10055-020-00456-4

Hu, X.-M., Zhang, S.-R., Li, M., & Deng, J. D. (2021). Multimodal particle swarm optimization for feature selection. Applied Soft Computing, 113, 107887. doi: 10.1016/j.asoc.2021.107887

Itoh, Y., Langlotz, T., Sutton, J., & Plopski, A. (2021). Towards indistinguishable augmented reality: A survey on optical see-through head-mounted displays. ACM Computing Surveys, 54(6), 120. doi: 10.1145/3453157

Itoh, Y., Langlotz, T., Zollmann, S., Iwai, D., Kiyoshi, K., & Amano, T. (2021). Computational phase-modulated eyeglasses. IEEE Transactions on Visualization & Computer Graphics, 27(3), 1916-1928. doi: 10.1109/TVCG.2019.2947038

Kerdegari, H., Phung, N. T. H., McBride, A., Pisani, L., Nguyen, H. V., Duong, T. B., … VITAL Consortium, including Paton, C. (2021). B-line detection and localization in lung ultrasound videos using spatiotemporal attention. Applied Sciences, 11, 11697. doi: 10.3390/app112411697

Muinga, N., Paton, C., Gicheha, E., Omoke, S., Aberjirinde, I.-O. O., Benova, L., … Zweekhorst, M. (2021). Using a human-centred design approach to develop a comprehensive newborn monitoring chart for inpatient care in Kenya. BMC Health Services Research, 21, 1010. doi: 10.1186/s12913-021-07030-x

Nair, S., Chen, S., Gupta, D., Smith, A. J., & McGregor, A. L. (2021). Higher BMI confers a long-term functional status advantage in elderly New Zealand European stroke patients. Journal of Stroke & Cerebrovascular Diseases, 30(5), 105711. doi: 10.1016/j.jstrokecerebrovasdis.2021.105711

Pitt, J., & Cranefield, S. (2021). A conceptual model and metaplatform for public interest technology design. IEEE Transactions on Technology & Society, 2(2), 71-82. doi: 10.1109/TTS.2021.3075189

Rahimi, S., Moore, A. B., & Whigham, P. A. (2021). Beyond objects in space-time: Towards a movement analysis framework with ‘How ’and ‘Why’ elements. ISPRS International Journal of Geo-Information, 10, 190. doi: 10.3390/ijgi10030190

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2021). Health workforce planning under conditions of uncertainty: Identifying supportive integrated care policies using scenario analysis. Journal of Integrated Care, 29(2), 153-169. doi: 10.1108/JICA-08-2020-0052

Regenbrecht, H., Ott, C., Park, N., Duncan, S., & Collins, J. (2021). Voxelvideos for entertainment, education, and training. IEEE Access, 9, 68185-68196. doi: 10.1109/ACCESS.2021.3076488

Shephard, K., Kalsoom, Q., Gupta, R., Probst, L., Gannon, P., Santhakumar, V., Ndukwe, I. G., & Jowett, T. (2021). Exploring the relationship between dispositions to think critically and sustainability concern in HESD. International Journal of Sustainability in Higher Education, 22(5), 1166-1185. doi: 10.1108/IJSHE-07-2020-0251

Stamou, G., Garcia-Palacios, A., Woodford, B. J., Suso-Ribera, C., & Botella, C. (2021). The combination of cognitive-behavioural therapy with virtual reality for the treatment of postnatal depression in a brief intervention context: A single-case study trial. Journal of Healthcare Engineering, 2021, 5514770. doi: 10.1155/2021/5514770

Tahir, A., Bennin, K. E., Xiao, X., & MacDonell, S. G. (2021). Does class size matter? An in-depth assessment of the effect of class size in software defect prediction. Empirical Software Engineering, 26(5), 106. doi: 10.1007/s10664-021-09991-3

Tuti, T., Paton, C., & Winters, N. (2021). The counterintuitive self-regulated learning behaviours of healthcare providers from low-income settings. Computers & Education, 166, 104136. doi: 10.1016/j.compedu.2021.104136

Umoren, R., Butcher, S., Hippe, D. S., Nkolika Ezenwa, B., Bamikeolu Fajolu, I., Okwako, F. M., … Paton, C., … Esamai, F. (2021). eHBB: a randomised controlled trial of virtual reality or video for neonatal resuscitation refresher training in healthcare workers in resource-scarce settings. BMJ Open, 11, e048506. doi: 10.1136/bmjopen-2020-048506

Vandehei, B., Alencar da Costa, D., & Falessi, D. (2021). Leveraging the defects life cycle to label affected versions and defective classes. ACM Transactions on Software Engineering & Methodology, 30(2), 24. doi: 10.1145/3433928

Wambua, S., Malla, L., Mbevi, G., Nwosu, A.-P., Tuti, T., Paton, C., … Okiro, E. A. (2021). The indirect impact of COVID-19 pandemic on inpatient admissions in 204 Kenyan hospitals: An interrupted time series analysis. PLOS Global Public Health, 1(11), e0000029. doi: 10.1371/journal. pgph.0000029

Wei, F.-F., Chen, W.-N., Yang, Q., Deng, J., Luo, X.-N., Jin, H., & Zhang, J. (2021). A classifier-assisted level-based learning swarm optimizer for expensive optimization. IEEE Transactions on Evolutionary Computation, 25(2), 219-233. doi: 10.1109/TEVC.2020.3017865

Whigham, P. A., & Spencer, H. G. (2021). Graph-structured populations and the Hill-Robertson effect. Royal Society Open Science, 8, 201831. doi: 10.1098/rsos.201831

Zolduoarrati, E., & Licorish, S. A. (2021). On the value of encouraging gender tolerance and inclusiveness in software engineering communities. Information & Software Technology, 139, 106667. doi: 10.1016/j.infsof.2021.106667

Zollmann, S., Langlotz, T., Grasset, R., Lo, W. H., Mori, S., & Regenbrecht, H. (2021). Visualization techniques in augmented reality: A taxonomy, methods and patterns. IEEE Transactions on Visualization & Computer Graphics, 27(9), 3808-3825. doi: 10.1109/TVCG.2020.2986247

Alshaer, A., O'Hare, D., Archambault, P., Shirley, M., & Regenbrecht, H. (2020). How to observe users’ movements in virtual environments: Viewpoint control in a power wheelchair simulator. Human Factors, 62(4), 656-670. doi: 10.1177/0018720819853682

Bosu, M. F., MacDonell, S. G., & Whigham, P. A. (2020). Analyzing the Stationarity Process in Software Effort Estimation Datasets. International Journal of Software Engineering & Knowledge Engineering, 30(11-12), 1607-1640. doi: 10.1142/S0218194020400239

Easton, L. J., Bishop, P. J., & Whigham, P. A. (2020). Balancing act: Modelling sustainable release numbers for translocations. Animal Conservation, 23, 434-442. doi: 10.1111/acv.12558

Grainger, R., Townsley, H. R., Ferguson, C. A., Riley, F. E., Langlotz, T., & Taylor, W. J. (2020). Patient and clinician views on an app for rheumatoid arthritis disease monitoring: Function, implementation and implications. International Journal of Rheumatic Diseases, 23, 813-827. doi: 10.1111/1756-185x.13850

Gu, X., & Deng, J. D. (2020). A multi-feature bipartite graph ensemble for image segmentation. Pattern Recognition Letters, 131, 98-104. doi: 10.1016/j.patrec.2019.12.017

Khan, D., Plopski, A., Fujimoto, Y., Kanbara, M., Cheng, Z., & Kato, H. (2020). Valence optimization and angle improvement for molecular surface remeshing. Visual Computer, 36, 2355-2368. doi: 10.1007/s00371-020-01967-6

Lin, H., Deng, J. D., Albers, D., & Siebert, F. W. (2020). Helmet use detection of tracked motorcycles using CNN-based multi-task learning. IEEE Access, 8, 162073-162084. doi: 10.1109/ACCESS.2020.3021357

Liu, C., Plopski, A., & Orlosky, J. (2020). OrthoGaze: Gaze-based three-dimensional object manipulation using orthogonal planes. Computers & Graphics, 89, 1-10. doi: 10.1016/j.cag.2020.04.005

McCombie, A., Walmsley, R., Barclay, M., Ho, C., Langlotz, T., Regenbrecht, H., Gray, A., … Inns, S., & Schultz, M. (2020). A noninferiority randomized clinical trail of the use of the smartphone-based health applications IBDsmart and IBDoc in the care of inflammatory bowel disease patients. Inflammatory Bowel Diseases, 26(7), 1098-1109. doi: 10.1093/ibd/izz252

Meldrum, S., Licorish, S. A., Owen, C. A., & Savarimuthu, B. T. R. (2020). Understanding stack overflow code quality: A recommendation of caution. Science of Computer Programming, 199, 102516. doi: 10.1016/j.scico.2020.102516

Moore, A., Daniel, B., Leonard, G., Regenbrecht, H., Rodda, J., Baker, L., Ryan, R., & Mills, S. (2020). Comparative usability of an augmented reality sandtable and 3D GIS for education. International Journal of Geographical Information Science, 34(2), 229-250. doi: 10.1080/13658816.2019.1656810

Nobil, A. H., Afshar Sedigh, A. H., & Afshar-Nadjafi, B. (2020). Lot-sizing problem for a defective processing system with categorized items, backordering and pricing policy. Journal of Revenue & Pricing Management, 19, 255-265. doi: 10.1057/s41272-019-00208-3

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. E. (2020). Reorder point for the EOQ inventory model with imperfect quality items. Ain Shams Engineering Journal, 11, 1339-1343. doi: 10.1016/j.asej.2020.03.004

Owen, C. A., Dick, G., & Whigham, P. A. (2020). Characterizing genetic programming error through extended bias and variance decomposition. IEEE Transactions on Evolutionary Computation, 24(6), 1164-1176. doi: 10.1109/tevc.2020.2990626

Owen, H. E., & Licorish, S. A. (2020). Game-based student response system: The effectiveness of Kahoot! on junior and senior information science students' learning. Journal of Information Technology Education: Research, 19, 511-553. doi: 10.28945/4608

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2020). Rethinking workforce planning for integrated care: Using scenario analysis to facilitate policy development. BMC Health Services Research, 20, 429. doi: 10.1186/s12913-020-05304-4

Ruffman, T., Ruffman, C., Hill, S., Turunc, G., Park, N., Du, K., Hayhurst, J., Kang, J., … Regenbrecht, H., … Hunter, J. A. (2020). RWAc and SDOc: The measurement of right‐wing authoritarianism and social dominance orientation in childhood. Social Development, 29, 1194-1214. doi: 10.1111/sode.12438

Tahir, A., Dietrich, J., Counsell, S., Licorish, S., & Yamashita, A. (2020). A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites. Information & Software Technology, 125, 106333. doi: 10.1016/j.infsof.2020.106333

Afshar Sedigh, A. H., Haji, R., & Sajadifar, S. M. (2019). Cost function and optimal boundaries for a two-level inventory system with information sharing and two identical retailers. Scientia Iranica: Transactions E Industrial Engineering, 26(1), 472-485. doi: 10.24200/sci.2018.20144

Blank, M.-L., Hoek, J., George, M., Gendall, P., Conner, T. S., Thrul, J., … Langlotz, T. (2019). An exploration of smoking-to-vaping transition attempts using a "smart" electronic nicotine delivery system. Nicotine & Tobacco Research, 21(10), 1339-1346. doi: 10.1093/ntr/nty093

Bosu, M. F., & MacDonell, S. G. (2019). Experience: Quality benchmarking of datasets used in software effort estimation. Journal of Data & Information Quality, 11(4), 19. doi: 10.1145/3328746

Ghaleb, T. A., Alencar da Costa, D., & Zou, Y. (2019). An empirical study of the long duration of continuous integration builds. Empirical Software Engineering, 24, 2102-2139. doi: 10.1007/s10664-019-09695-9

Huang, Y., Alencar da Costa, D., Zhang, F., & Zou, Y. (2019). An empirical study on the issue reports with questions raised during the issue resolving process. Empirical Software Engineering, 24, 718-750. doi: 10.1007/s10664-018-9636-3

Itoh, Y., Langlotz, T., Iwai, D., Kiyokawa, K., & Amano, T. (2019). Light attenuation display: Subtractive see-through near-eye display via spatial color filtering. IEEE Transactions on Visualization & Computer Graphics, 25(5), 1951-1960. doi: 10.1109/TVCG.2019.2899229

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. E. (2019). A Generalized Economic Order Quantity Inventory Model with Shortage: Case Study of a Poultry Farmer. Arabian Journal for Science & Engineering, 44(3), 2653-2663. doi: 10.1007/s13369-018-3322-z

Nobil, A. H., Afshar Sedigh, A. H., Tiwari, S., & Wee, H. M. (2019). An imperfect multi-item single-machine production system with shortage, rework, and scrap considering inspection, dissimilar deficiency levels, and non-zero setup times. Scientia Iranica: Transactions E Industrial Engineering, 26(1), 557-570. doi: 10.24200/sci.2018.4984.1031

Park, N. J. W., & Regenbrecht, H. (2019). Resolutions and network latencies concerning a voxel telepresence experience. Journal of Software Engineering & Applications, 12(5), 171-197. doi: 10.4236/jsea.2019.125011

Regenbrecht, H., Park, J.-W., Ott, C., Mills, S., Cook, M., & Langlotz, T. (2019). Preaching voxels: An alternative approach to mixed reality. Frontiers in ICT, 6, 7. doi: 10.3389/fict.2019.00007

Young, J., Langlotz, T., Cook, M., Mills, S., & Regenbrecht, H. (2019). Immersive telepresence and remote collaboration using mobile and wearable devices. IEEE Transactions on Visualization & Computer Graphics, 25(5), 1908-1918. doi: 10.1109/TVCG.2019.2898737

Zareei, S., & Deng, J. D. (2019). Energy harvesting modelling for self-powered fitness gadgets: A feasibility study. International Journal of Parallel, Emergent & Distributed Systems, 34(4), 412-429. doi: 10.1080/17445760.2017.1410817

Zhao, G., Alencar da Costa, D., & Zou, Y. (2019). Improving the pull requests review process using learning-to-rank algorithms. Empirical Software Engineering, 24, 2140-2170. doi: 10.1007/s10664-019-09696-8

Zwanenburg, S., & Qureshi, I. (2019). Anticipating, avoiding, and alleviating measurement error: A synthesis of the literature with practical recommendations. Australasian Journal of Information Systems, 23. doi: 10.3127/ajis.v23i0.1844

Easton, L. J., Rawlence, N. J., Worthy, T. H., Tennyson, A. J. D., Scofield, R. P., Easton, C. J., … Whigham, P. A., Dickinson, K. J. M., & Bishop, P. J. (2018). Testing species limits of New Zealand’s leiopelmatid frogs through morphometric analyses. Zoological Journal of the Linnean Society, 183(2), 431-444. doi: 10.1093/zoolinnean/zlx080

Holvitie, J., Licorish, S. A., Spínola, R. O., Hyrynsalmi, S., MacDonell, S. G., Mendes, T. S., … Leppänen, V. (2018). Technical debt and agile software development practices and processes: An industry practitioner survey. Information & Software Technology, 96, 141-160. doi: 10.1016/j.infsof.2017.11.015

Licorish, S. A., & MacDonell, S. G. (2018). Exploring the links between software development task type, team attitudes and task completion performance: Insights from the Jazz repository. Information & Software Technology, 97, 10-25. doi: 10.1016/j.infsof.2017.12.005

Licorish, S. A., Owen, H. E., Daniel, B., & George, J. L. (2018). Students’ perception of Kahoot!’s influence on teaching and learning. Research & Practice in Technology Enhanced Learning, 13, 9. doi: 10.1186/s41039-018-0078-8

Liu, X.-F., Zhan, Z.-H., Deng, J. D., Li, Y., Gu, T., & Zhang, J. (2018). An energy efficient ant colony system for virtual machine placement in cloud computing. IEEE Transactions on Evolutionary Computation, 22(1), 113-128. doi: 10.1109/TEVC.2016.2623803

Mensah, S., Keung, J., MacDonell, S. G., Bosu, M. F., & Bennin, K. E. (2018). Investigating the significance of the Bellwether effect to improve software effort prediction: Further empirical study. IEEE Transactions on Reliability, 67(3), 1176-1198. doi: 10.1109/TR.2018.2839718

Meredith-Jones, K., Haszard, J., Stanger, N., & Taylor, R. (2018). Precision of DXA-derived visceral fat measurements in a large sample of adults of varying body size. Obesity, 26(3), 505-512. doi: 10.1002/oby.22108

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. (2018). Multi-machine economic production quantity of scrapped and reworked items considering shortages and allocation decisions. Scientia Iranica: Transactions E Industrial Engineering, 25(4), 2331-2346. doi: 10.24200/sci.2017.4453

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2018). Rethinking health workforce planning: Capturing health system social and power interactions through actor analysis. Futures, 99, 16-27. doi: 10.1016/j.futures.2018.03.009

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2018). The promise of complementarity: Using the methods of foresight for health workforce planning. Health Services Management Research, 31(2), 97-105. doi: 10.1177/0951484818770408

Winikoff, M., Yadav, N., & Padgham, L. (2018). A new hierarchical agent protocol notation. Autonomous Agents & Multi-Agent Systems, 32(1), 59-133. doi: 10.1007/s10458-017-9373-9

Yang, Q., Chen, W.-N., Deng, J. D., Li, Y., Gu, T., & Zhang, J. (2018). A level-based learning swarm optimizer for large scale optimization. IEEE Transactions on Evolutionary Computation, 22(4), 578-594. doi: 10.1109/TEVC.2017.2743016

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, T. B. R. (2018). Complementary-based coalition formation for energy microgrids. Computational Intelligence. doi: 10.1111/coin.12171

Zwanenburg, S. P., & Farhoomand, A. (2018). Lenovo: Being on top in a declining industry. Communications of the Association for Information Systems, 42, 17. doi: 10.17705/1CAIS.04217

Abushark, Y., Miller, T., Thangarajah, J., Winikoff, M., & Harland, J. (2017). Requirements specification via activity diagrams for agent-based systems. Autonomous Agents & Multi-Agent Systems, 31(3), 423-468. doi: 10.1007/s10458-016-9327-7

Alghamdi, M., Regenbrecht, H., Hoermann, S., & Swain, N. (2017). Mild stress stimuli built into a non-immersive virtual environment can elicit actual stress responses. Behaviour & Information Technology, 36(9), 913-934. doi: 10.1080/0144929X.2017.1311374

Alshaer, A., Regenbrecht, H., & O'Hare, D. (2017). Immersion factors affecting perception and behaviour in a virtual reality power wheelchair simulator. Applied Ergonomics, 58, 1-12. doi: 10.1016/j.apergo.2016.05.003

Collins, J., Regenbrecht, H., & Langlotz, T. (2017). Visual coherence in mixed reality: A systematic enquiry. Presence, 26(1), 16-41. doi: 10.1162/PRES_a_00284

Grainger, R., Townsley, H., White, B., Langlotz, T., & Taylor, W. J. (2017). Apps for people with rheumatoid arthritis to monitor their disease activity: A review of apps for best practice and quality. JMIR mHealth & uHealth, 5(2), e7. doi: 10.2196/mhealth.6956

Grubert, J., Langlotz, T., Zollmann, S., & Regenbrecht, H. (2017). Towards pervasive augmented reality: Context-awareness in augmented reality. IEEE Transactions on Visualization & Computer Graphics, 23(6), 1706-1724. doi: 10.1109/TVCG.2016.2543720

Hoermann, S., Ferreira dos Santos, L., Morkisch, N., Jettkowski, K., Sillis, M., Devan, H., Kanagasabai, P. S., … Regenbrecht, H., Hale, L., & Cutfield, N. J. (2017). Computerised mirror therapy with Augmented Reflection Technology for early stroke rehabilitation: Clinical feasibility and integration as an adjunct therapy. Disability & Rehabilitation, 39(15), 1503-1514. doi: 10.1080/09638288.2017.1291765

Keller, T., & Savarimuthu, B. T. R. (2017). Facilitating enhanced decision support using a social norms approach. Journal of Electronic Commerce in Organisations, 15(2), 1. doi: 10.4018/JECO.2017040101

Licorish, S. A., & MacDonell, S. G. (2017). Exploring software developers’ work practices: Task differences, participation, engagement, and speed of task resolution. Information & Management, 54(3), 364-382. doi: 10.1016/j.im.2016.09.005

Liu, Q., Chen, W.-N., & Deng, J. D. (2017). Benchmarking stochastic algorithms for global optimization problems by visualizing confidence intervals. IEEE Transactions on Cybernetics, 47(9), 2924-2937. doi: 10.1109/tcyb.2017.2659659

Meldrum, S., Savarimuthu, B. T. R., Licorish, S., Tahir, A., Bosu, M., & Jayakaran, P. (2017). Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media. Digital Health, 3. doi: 10.1177/2055207617698908

Rees, G. H., & MacDonell, S. (2017). Data gathering for actor analyses: A research note on the collection and aggregation of individual respondent data for MACTOR. Future Studies Research Journal, 9(1), 115-137.

Stanger, N., Alnaghaimshi, N., & Pearson, E. (2017). How do Saudi youth engage with social media? First Monday, 22(5). doi: 10.5210/fm.v22i5.7102

Whigham, P. A., Dick, G., & Maclaurin, J. (2017). Just because it works: A response to comments on "On the mapping of genotype to phenotype in evolutionary algorithms". Genetic Programming & Evolvable Machines, 18(3), 399-405. doi: 10.1007/s10710-017-9289-9

Whigham, P. A., Dick, G., & Maclaurin, J. (2017). On the mapping of genotype to phenotype in evolutionary algorithms. Genetic Programming & Evolvable Machines, 18(3), 353-361. doi: 10.1007/s10710-017-9288-x

Winikoff, M. (2017). BDI agent testability revisited. Autonomous Agents & Multi-Agent Systems, 31(5), 1094-1132. doi: 10.1007/s10458-016-9356-2

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2017). Agent-based modelling of coalition formation in energy micro-grids. International Journal of Agent-Oriented Software Engineering, 5(4), 399-432. doi: 10.1504/IJAOSE.2017.087639

Dam, H. K., Egyed, A., Winikoff, M., Reder, A., & Lopez-Herrejon, R. E. (2016). Consistent merging of model versions. Journal of Systems & Software, 112, 137-155. doi: 10.1016/j.jss.2015.06.044

Easton, L. J., Dickinson, K. J. M., Whigham, P. A., & Bishop, P. J. (2016). Habitat suitability and requirements for a threatened New Zealand amphibian. Journal of Wildlife Management. doi: 10.1002/jwmg.1071

Langlotz, T., Cook, M., & Regenbrecht, H. (2016). Real-Time radiometric compensation for optical see-through head-mounted displays. IEEE Transactions on Visualization & Computer Graphics, 22(11), 2385-2394. doi: 10.1109/TVCG.2016.2593781

Licorish, S. A. (2016). Exploring the prevalence and evolution of android concerns: A community viewpoint. Journal of Software, 11(9), 848-869. doi: 10.17706/jsw.11.9.848-869

Mahroeian, H., & Daniel, B. (2016). The dynamic landscape of higher education: The role of big data and analytics. Journal of Educational Multimedia & Hypermedia, 25(3), 287-297.

Mark, A. F., Molau, U., Whigham, P., Little, L., & Nielsen, J. (2016). Periglacial tarn on the Rock and Pillar Range crest, south-central South Island, New Zealand, and its surrounding snowbank community. Austral Ecology, 41(3), 282-290. doi: 10.1111/aec.12310

McCombie, A., Langlotz, T., Barclay, M., Walmsley, R., Regenbrecht, H., & Schultz, M. (2016). Systematic review of IBD smartphone apps for symptom monitoring and communication with healthcare professionals. Journal of mHealth, 3(3), 36-41. Retrieved from http://www.thejournalofmhealth.com/

Nielsen, J. A., Frew, R. D., Whigham, P. A., Callaway, R. M., & Dickinson, K. J. M. (2016). Thyme travels: 15N isoscapes of Thymus vulgaris L. invasion in lightly grazed pastoral communities. Austral Ecology, 41(1), 28-39. doi: 10.1111/aec.12284

Whigham, P. A., de Graaf, B., Srivastava, R., & Glue, P. (2016). Managing distance and covariate information with point-based clustering. BMC Medical Research Methodology, 16(1), 115. doi: 10.1186/s12874-016-0218-z

Whigham, P. A., Dick, G., & Parry, M. (2016). Network rewiring dynamics with convergence towards a star network. Proceedings of the Royal Society A, 472(2194), 20160236. doi: 10.1098/rspa.2016.0236

Yang, Q., Chen, W.-N., Gu, T., Zhang, H., Deng, J. D., Li, Y., & Zhang, J. (2016). Segment-based predominant learning swarm optimizer for large-scale optimization. IEEE Transactions on Cybernetics, 47(9), 2896-2910. doi: 10.1109/TCYB.2016.2616170

Aderohunmu, F. A., Brunelli, D., Deng, J. D., & Purvis, M. K. (2015). A data acquisition protocol for a reactive wireless sensor network monitoring application. Sensors, 15(5), 10221-10254. doi: 10.3390/s150510221

Cranston, B. H., Monks, A., Whigham, P. A., & Dickinson, K. J. M. (2015). Variation and response to experimental warming in a New Zealand cushion plant species. Austral Ecology, 40, 642-650. doi: 10.1111/aec.12231

Deng, J. D., & Purvis, M. K. (2015). Teaching service modelling to a mixed class: An integrated approach. Informatics in Education, 14(1), 35-50. doi: 10.15388/infedu.2015.03

Fountain, J. S., Sly, B., Holt, A., & MacDonell, S. (2015). Availability of antidotes, antivenoms, and antitoxins in New Zealand hospital pharmacies. New Zealand Medical Journal, 128(1411). Retrieved from https://www.nzma.org.nz/journal

Frantz, C. K., Purvis, M. K., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling dynamic normative understanding in agent societies. Scalable Computing, 16(4), 355-378. doi: 10.12694/scpe.v16i4.1128

Günay, A., Winikoff, M., & Yolum, P. (2015). Dynamically generated commitment protocols in open systems. Autonomous Agents & Multi-Agent Systems, 29(2), 192-229. doi: 10.1007/s10458-014-9251-7

Licorish, S. A., & MacDonell, S. G. (2015). Communication and personality profiles of global software developers. Information & Software Technology, 64, 113-131. doi: 10.1016/j.infsof.2015.02.004

Nielsen, J. A., Frew, R. D., Whigham, P. A., Callaway, R. M., & Dickinson, K. J. M. (2015). Germination and growth responses of co-occurring grass species to soil from under invasive Thymus vulgaris. Allelopathy, 35(1), 139-152.

Nielsen, J. A., Whigham, P. A., Frew, R. D., Callaway, R. M., & Dickinson, K. J. M. (2015). Thyme and space invasion: Thymus vulgaris decreases exotic plant species diversity in Central Otago, New Zealand. Biological Invasions, 17(8), 2261-2274. doi: 10.1007/s10530-015-0872-9

Quigg, R., Gray, A., Reeder, A. I., Holt, A., & Waters, D. L. (2015). Development of a 15-item scale to measure parental perceptions of their neighborhood. Health Education & Behavior, 42(1), 100-108. doi: 10.1177/1090198114540460

Regenbrecht, H., & Langlotz, T. (2015). Mutual gaze support in videoconferencing reviewed. Communications of the Association for Information Systems, 37(1), 965-989.

Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). An agent-based simulation for restricting exploitation in electronic societies through social mechanisms. AI & Society, 30(3), 345-358. doi: 10.1007/s00146-013-0529-0

Schultz, M., Bohwan Seo, S., Holt, A., & Regenbrecht, H. (2015). Family history assessment for colorectal cancer (CRC) risk analysis: Comparison of diagram- and questionnaire-based web interfaces. BMC Medical Informatics & Decision Making, 15, 95. doi: 10.1186/s12911-015-0211-1

Shah, M., Deng, J. D., & Woodford, B. J. (2015). A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image & Vision Computing, 38, 52-64. doi: 10.1016/j.imavis.2015.02.001

Whigham, P. A., Owen, C. A., & MacDonell, S. G. (2015). A baseline model for software effort estimation. ACM Transactions on Software Engineering & Methodology, 24(3), 20. doi: 10.1145/2738037

Xu, Y., Deng, J. D., Nowostawski, M., & Purvis, M. K. (2015). Optimized routing for video streaming in multi-hop wireless networks using analytical capacity estimation. Journal of Computer & System Sciences, 81(1), 145-157. doi: 10.1016/j.jcss.2014.06.015

Yasir, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2015). Agent-based community coordination of local energy distribution. AI & Society, 30(3), 379-391. doi: 10.1007/s00146-013-0528-1

Angrosh, M. A., Cranefield, S., & Stanger, N. (2014). Contextual information retrieval in research articles: Semantic publishing tools for the research community. Semantic Web, 5(4), 261-293. doi: 10.3233/SW-130097

Fountain, J. S., Hawwari, H., Kerr, K., Holt, A., & Reith, D. (2014). Awareness, acceptability and application of paracetamol overdose management guidelines in a New Zealand emergency department. New Zealand Medical Journal, 127(1402). Retrieved from http://www.nzma.org.nz/journal

Fountain, J. S., Reith, D. M., & Holt, A. (2014). The utilization of poisons information resources in Australasia. International Journal of Medical Informatics, 83(2), 106-112. doi: 10.1016/j.ijmedinf.2013.10.012

Frantz, C., Purvis, M. K., & Nowostawski, M. (2014). Agent-based modeling of information transmission in early historic trading. Social Science Computer Review, 32(3), 393-416. doi: 10.1177/0894439313511931

Harris, K. M., Dickinson, K. J. M., & Whigham, P. A. (2014). Functional connectivity and matrix quality: Network analysis for a critically endangered New Zealand lizard. Landscape Ecology, 29(1), 41-53. doi: 10.1007/s10980-013-9967-9

Hoermann, S., Hale, L., Winser, S. J., & Regenbrecht, H. (2014). Patient engagement and clinical feasibility of Augmented Reflection Technology for stroke rehabilitation. International Journal of Disability & Human Development, 13(3), 355-360. doi: 10.1515/ijdhd-2014-0328

Langlotz, T., Nguyen, T., Schmalstieg, D., & Grasset, R. (2014). Next-generation augmented reality browsers: Rich, seamless, and adaptive. Proceedings of the IEEE, 102(2), 155-169. doi: 10.1109/JPROC.2013.2294255

Licorish, S. A., & MacDonell, S. G. (2014). Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study. Information & Software Technology, 56(12), 1578-1596. doi: 10.1016/j.infsof.2014.02.004

Nielsen, J. A., Frew, R. D., Whigham, P. A., Callaway, R. M., & Dickinson, K. J. M. (2014). Thyme invasion and soil properties in the Central Otago region of New Zealand. Geoderma Regional, 1, 48-58. doi: 10.1016/j.geodrs.2014.08.002

Nielsen, J. A., Whigham, P. A., Frew, R. D., Callaway, R. M., & Dickinson, K. J. M. (2014). Invasion essentials: Does secondary chemistry plasticity contribute to the invasiveness of Thymus vulgaris L.? Chemoecology, 24(1), 15-27. doi: 10.1007/s00049-013-0142-1

Regenbrecht, H., Hoermann, S., Ott, C., Müller, L., & Franz, E. (2014). Manipulating the experience of reality for rehabilitation applications. Proceedings of the IEEE, 102(2), 170-184. doi: 10.1109/jproc.2013.2294178

Shah, M., Deng, J. D., & Woodford, B. J. (2014). Video background modeling: Recent approaches, issues and our proposed techniques. Machine Vision & Applications, 25(5), 1105-1119. doi: 10.1007/s00138-013-0552-7

Winikoff, M., & Cranefield, S. (2014). On the testability of BDI agent systems. Journal of Artificial Intelligence Research, 51, 71-131. doi: 10.1613/jair.4458

Woods, A. M., Nowostawski, M., Franz, E. A., & Purvis, M. (2014). Parkinson’s disease and essential tremor classification on mobile device. Pervasive & Mobile Computing, 13, 1-12. doi: 10.1016/j.pmcj.2013.10.002

Zollmann, S., Hoppe, C., Langlotz, T., & Reitmayr, G. (2014). FlyAR: Augmented Reality supported micro aerial vehicle navigation. IEEE Transactions on Visualization & Computer Graphics, 20(4), 560-568. doi: 10.1109/TVCG.2014.24

Angrosh, M. A., Cranefield, S., & Stanger, N. (2013). Context identification of sentences in research articles: Towards developing intelligent tools for the research community. Natural Language Engineering, 19(4), 481-515. doi: 10.1017/S1351324912000277

Cheong, C., & Winikoff, M. (2013). A comparison of two agent interaction design approaches. Multiagent & Grid Systems, 9(1), 1-44. doi: 10.3233/MGS-130200

Dam, H. K., & Winikoff, M. (2013). Towards a next-generation AOSE methodology. Science of Computer Programming, 78, 684-694. doi: 10.1016/j.scico.2011.12.005

Gebauer, K., Dickinson, K. J. M., Whigham, P. A., & Seddon, P. J. (2013). Matrix matters: Differences of grand skink metapopulation parameters in native tussock grasslands and exotic pasture grasslands. PLoS ONE, 8(10), e76076. doi: 10.1371/journal.pone.0076076

Guan, G., Wang, Z., Lu, S., Deng, J. D., & Feng, D. D. (2013). Keypoint-based keyframe selection. IEEE Transactions on Circuits & Systems for Video Technology, 23(4), 729-734. doi: 10.1109/TCSVT.2012.2214871

Patel, V., Nowostawski, M., Thomson, G., Wilson, N., & Medlin, H. (2013). Developing a smartphone 'app' for public health research: The example of measuring observed smoking in vehicles. Journal of Epidemiology & Community Health, 67, 446-452. doi: 10.1136/jech-2012-201774

Savarimuthu, B. T. R., Cranefield, S., Purvis, M. A., & Purvis, M. K. (2013). Identifying prohibition norms in agent societies. Artificial Intelligence & Law, 21(1), 1-46. doi: 10.1007/s10506-012-9126-7

Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2013). Gossip-based self-organising agent societies and the impact of false gossip. Minds & Machines, 23(4), 419-441. doi: 10.1007/s11023-013-9304-8

Withanawasam, R. M., Whigham, P. A., & Crack, T. F. (2013). Characterising trader manipulation in a limit-order driven market. Mathematics & Computers in Simulation, 93, 43-52. doi: 10.1016/j.matcom.2012.09.012

Withanawasam, R. M., Whigham, P. A., & Crack, T. F. (2013). Characterizing limit order prices. Physica A, 392(21), 5346-5355. doi: 10.1016/j.physa.2013.06.060

Yong, S.-P., Deng, J. D., & Purvis, M. K. (2013). Wildlife video key-frame extraction based on novelty detection in semantic context. Multimedia Tools & Applications, 62(2), 359-376. doi: 10.1007/s11042-011-0902-2

Al-Issa, H., Regenbrecht, H., & Hale, L. (2012). Augmented reality applications in rehabilitation to improve physical outcomes. Physical Therapy Reviews, 17(1), 16-28. doi: 10.1179/1743288X11Y.0000000051

Ghandour, A., & Benwell, G. (2012). A framework of business recovery in the aftermath of a disaster. International Journal of Business Continuity & Risk Management, 3(3), 263-274. doi: 10.1504/IJBCRM.2012.050490

Hauber, J., Regenbrecht, H., Cockburn, A., & Billinghurst, M. (2012). The impact of collaborative style on the perception of 2D and 3D videoconferencing interfaces. Open Software Engineering Journal, 6. doi: 10.2174/1874107X01206010001

Hoermann, S., Franz, E. A., & Regenbrecht, H. (2012). Referred sensations elicited by video-mediated mirroring of hands. PLoS ONE, 7(12), e50942. doi: 10.1371/journal.pone.0050942

Langlotz, T., Mooslechner, S., Zollmann, S., Degendorfer, C., Reitmayr, G., & Schmalstieg, D. (2012). Sketching up the world: In situ authoring for mobile augmented reality. Personal & Ubiquitous Computing, 16(6), 623-630. doi: 10.1007/s00779-011-0430-0

Langlotz, T., Wagner, D., Mulloni, A., & Schmalstieg, D. (2012). Online creation of panoramic augmented reality annotations on mobile phones. IEEE Pervasive Computing, 11(2), 56-63. doi: 10.1109/MPRV.2010.69

Ma, H., Schewe, K.-D., Thalheim, B., & Wang, Q. (2012). A formal model for the interoperability of service clouds. Service Oriented Computing & Applications, 6(3), 189-205. doi: 10.1007/s11761-012-0101-7

Mann, S. L., Marshall, M. R., Woodford, B. J., Holt, A., & Williams, A. B. (2012). Predictive performance of Acute Physiological and Chronic Health Evaluation releases II to IV: A single New Zealand centre experience. Anaesthesia & Intensive Care, 40(3), 479-489.

Purvis, M. K., & Purvis, M. A. (2012). Institutional expertise in the Service-Dominant logic: Knowing how and knowing what. Journal of Marketing Management, 28(13/14), 1626-1641. doi: 10.1080/0267257X.2012.742454

Quigg, R., Reeder, A. I., Gray, A., Holt, A., & Waters, D. (2012). The effectiveness of a community playground intervention. Journal of Urban Health, 89(1), 171-184. doi: 10.1007/s11524-011-9622-1

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Identifying events taking place in Second Life virtual environments. Applied Artificial Intelligence, 26(1-2), 137-181. doi: 10.1080/08839514.2012.629559

Regenbrecht, H. T., Franz, E. A., McGregor, G., Dixon, B. G., & Hoermann, S. (2012). Beyond the looking glass: Fooling the brain with the augmented mirror box. Presence [2011], 20(6), 559-576. doi: 10.1162/PRES_a_00082

Regenbrecht, H., Hoermann, S., McGregor, G., Dixon, B., Franz, E., Ott, C., Hale, L., … Hoermann, J. (2012). Visual manipulations for motor rehabilitation. Computers & Graphics, 36(7), 819-834. doi: 10.1016/j.cag.2012.04.012

Yong, S.-P., Deng, J. D., & Purvis, M. K. (2012). Novelty detection in wildlife scenes through semantic context modelling. Pattern Recognition, 45(9), 3439-3450. doi: 10.1016/j.patcog.2012.02.036

Aderohunmu, F. A., Deng, J. D., & Purvis, M. K. (2011). Enhancing clustering in wireless sensor networks with energy heterogeneity. International Journal of Business Data Communications & Networking, 7(4), 18-31. doi: 10.4018/jbdcn.2011100102

Cranefield, S., & Winikoff, M. (2011). Verifying social expectations by model checking truncated paths. Journal of Logic & Computation, 21(6), 1217-1256. doi: 10.1093/logcom/exq055

Dam, H. K., & Winikoff, M. (2011). An agent-oriented approach to change propagation in software maintenance. Autonomous Agents & Multi-Agent Systems, 23(3), 384-452. doi: 10.1007/s10458-010-9163-0

Deng, J. D., & Purvis, M. K. (2011). Multi-core application performance optimization using a constrained tandem queueing model. Journal of Network & Computer Applications, 34(6), 1990-1996. doi: 10.1016/j.jnca.2011.07.004

Deng, J. D., Purvis, M. K., & Purvis, M. A. (2011). Software effort estimation: Harmonizing algorithms and domain knowledge in an integrated data mining approach. International Journal of Intelligent Information Technologies, 7(3), 41-53. doi: 10.4018/jiit.2011070104

Dick, G., & Whigham, P. A. (2011). Weighted local sharing and local clearing for multimodal optimisation. Soft Computing, 15, 1707-1721. doi: 10.1007/s00500-010-0612-0

Ghandour, A., Benwell, G., & Deans, K. R. (2011). Measuring the performance of eCommerce websites: An owner’s perspective. Pacific Asia Journal of the Association for Information Systems, 3(1), 1-27.

Harrison-Woolrych, M., Jamieson, S., Malik, M., Holt, A., & Herbison, P. (2011). Electronic capture of dispensing data by the New Zealand Intensive Medicines Monitoring Programme: A consultation study of community and hospital pharmacists. International Journal of Pharmacy Practice, 19(2), 136-139. doi: 10.1111/j.2042-7174.2010.00082.x

Hebecker, R., & Regenbrecht, H. (2011). Visual surveys with purposeful games. Information Design Journal, 19(3), 259-271. doi: 10.1075/idj.19.3.08heb

Jeffrey, L., Hegarty, B., Kelly, O., Penman, M., Coburn, D., & McDonald, J. (2011). Developing digital information literacy in higher education: Obstacles and supports. Journal of Information Technology Education: Research, 10, 383-413. doi: 10.28945/1532

Langlotz, T., Degendorfer, C., Mulloni, A., Scall, G., Reitmayr, G., & Schmalstieg, D. (2011). Robust detection and tracking of annotations for outdoor augmented reality browsing. Computers & Graphics, 35(4), 831-840. doi: 10.1016/j.cag.2011.04.004

Loke, S.-K., Tordoff, J., Winikoff, M., McDonald, J., Vlugter, P., & Duffull, S. (2011). SimPharm: How pharmacy students made meaning of a clinical case differently in paper- and simulation-based workshops. British Journal of Educational Technology, 42(5), 865-874. doi: 10.1111/j.1467-8535.2010.01113.x

Ma, H., Schewe, K.-D., & Wang, Q. (2011). Cloud warehousing. Journal of Universal Computer Science, 17(8), 1183-1201. doi: 10.3217/jucs-017-08-1183

Mark, A. F., & Whigham, P. A. (2011). Disturbance-induced changes in a high-alpine cushionfield community, south-central New Zealand. Austral Ecology, 36(5), 581-592. doi: 10.1111/j.1442-9993.2010.02193.x

Morrison, A., Mulloni, A., Lemmelä, S., Oulasvirta, A., Jacucci, G., Peltonen, P., … Regenbrecht, H. (2011). Collaborative use of mobile augmented reality with paper maps. Computers & Graphics, 35(4), 789-799. doi: 10.1016/j.cag.2011.04.009

Purvis, M. K., & Long, A. L. S. (2011). Affinities between multi-agent systems and service-dominant logic: Interactionist implications for business marketing practice. Industrial Marketing Management, 40(2), 248-254. doi: 10.1016/j.indmarman.2010.06.037

Savarimuthu, B. T. R., & Cranefield, S. (2011). Norm creation, spreading and emergence: A survey of simulation models of norms in multi-agent systems. Multiagent & Grid Systems, 7(1), 21-54. doi: 10.3233/MGS-2011-0167

Chhanabhai, P. N., & Holt, A. (2010). The disparity information and communication technology for developing countries has in the delivery of healthcare information. Open Medical Informatics Journal, 4, 195-201.

Chhanabhai, P., Holt, A., & Benwell, G. (2010). Why talk when you can text? Gen Y's medium for sharing health information. Health Care & Informatics Review Online, 14(2), 17-26.

Deng, J. D. (2010). Controlling chaotic associative memory for multiple pattern retrieval. Cognitive Computation, 2(4), 257-264. doi: 10.1007/s12559-010-9043-6

Ebadi, T., Purvis, M., & Purvis, M. (2010). A framework for facilitating cooperation in multi-agent systems. Journal of Supercomputing, 51(3), 393-417. doi: 10.1007/s11227-009-0372-8

Furtado, V., Ayres, L., de Oliveira, M., Vasconcelos, E., Caminha, C., D'Orleans, J., & Belchior, M. (2010). Collective intelligence in law enforcement: The WikiCrimes system. Information Sciences, 180(1), 4-17. doi: 10.1016/j.ins.2009.08.004

Ghandour, A., Benwell, G., & Deans, K. (2010). Measuring eCommerce website success. Interdisciplinary Journal of Contemporary Research in Business, 1(12), 21-41.

Mann, S. L., Marshall, M. R., Holt, A., Woodford, B., & Williams, A. B. (2010). Illness severity scoring for Intensive Care at Middlemore Hospital, New Zealand: Past and future. New Zealand Medical Journal, 123(1316). Retrieved from http://journal.nzma.org.nz/journal/123-1316/4157/content.pdf

McKay, R. I., Hoai, N. X., Whigham, P. A., Shan, Y., & O'Neill, M. (2010). Grammar-based genetic programming: A survey. Genetic Programming & Evolvable Machines, 11, 365-396. doi: 10.1007/s10710-010-9109-y

Quigg, R., Gray, A., Reeder, A. I., Holt, A., & Waters, D. L. (2010). Using accelerometers and GPS units to identify the proportion of daily physical activity located in parks with playgrounds in New Zealand children. Preventive Medicine, 50, 235-240. doi: 10.1016/j.ypmed.2010.02.002

Savarimuthu, B. T. R., Cranefield, S., Purvis, M. A., & Purvis, M. K. (2010). Obligation norm identification in agent societies. Journal of Artificial Societies & Social Simulation, 13(4). Retrieved from http://jasss.soc.surrey.ac.uk/13/4/3.html

Whigham, P. A., & Dick, G. (2010). Implicitly controlling bloat in genetic programming. IEEE Transactions on Evolutionary Computation, 14(2), 173-190. doi: 10.1109/tevc.2009.2027314

Wolfe, H. B. (2010). Mobile phone security: An update. TSCM Journal, 1(3), 1-14.

Journal - Research Other

Grewal, G., Fuller, S. S., Rababeh, A., Maina, M., English, M., Paton, C., & Papoutsi, C. (2024). Scoping review of interventions to improve continuity of postdischarge care for newborns in LMICs. BMJ Global Health, 9, e012894. doi: 10.1136/bmjgh-2023-012894

Chanh, H. Q., Ming, D. K., Nguyen, Q. H., Duc, T. M., An, L. P., Trieu, H. T., … Paton, C., … Yacoub, S. (2023). Applying artificial intelligence and digital health technologies, Viet Nam [Lessons from the field]. Bulletin of the World Health Organization, 101, 487-492. doi: 10.2471/blt.22.289423

Mills, S., & Regenbrecht, H. (2023). Respecting and protecting cultural values in an Indigenous virtual reality project. IEEE Technology & Society, 42(2), 48-52. doi: 10.1109/MTS.2023.3275628

Gurtner, M., Smith, M., Gage, R., Howey-Brown, A., Wang, X., Latavao, T., Deng, J. D., Zwanenburg, S. P., Stanley, J., & Signal, L. (2022). Objective assessment of the nature and extent of children’s internet-based world: Protocol for the Kids Online Aotearoa study. JMIR Research Protocols, 11(10), e39017. doi: 10.2196/39017

McCool, J., Dobson, R., Whittaker, R., & Paton, C. (2022). Mobile health (mHealth) in low- and middle-income countries. Annual Review of Public Health, 43, 525-539. doi: 10.1146/annurev-publhealth-052620-093850

Paton, C., Braa, J., Muhire, A., Marco-Ruiz, L., Kobayashi, S., Fraser, H., … Marcelo, A. (2022). Open source digital health software for resilient, accessible and equitable healthcare systems: Contribution from the IMIA Open Source Working Group. Yearbook of Medical Informatics, 31(1), 67-73. doi: 10.1055/s-0042-1742508

Soares, E., Sizilio, G., Santos, J., Alencar da Costa, D., & Kulesza, U. (2022). The effects of continuous integration on software development: A systematic literature review. Empirical Software Engineering, 27, 78. doi: 10.1007/s10664-021-10114-1

Tran, D. M., Thwaites, C. L., Nuil, J. I. V., McKnight, J., Luu, A. P., & Paton, C. (2022). Digital health policy and programs for hospital care in Vietnam: Scoping review. Journal of Medical Internet Research, 24(2), e32392. doi: 10.2196/32392

Wanyama, C., Nagraj, S., Muinga, N., Tuti, T., Edgcombe, H., Geniets, A., … Paton, C. (2022). Lessons from the design, development and implementation of a three-dimensional (3D) neonatal resuscitation training smartphone application: Life-saving Instruction for Emergencies (LIFE app). Advances in Simulation, 7, 2. doi: 10.1186/s41077-021-00197-7

Fernandez-Luque, L., Kushniruk, A. W., Georgiou, A., Basu, A., Petersen, C., Ronquillo, C., Paton, C., … Zhu, X. (2021). Evidence-based health informatics as the foundation for the COVID-19 response: A joint call for action. Methods of Information in Medicine, 59, 183-192. doi: 10.1055/s-0041-1726414

Kobayashi, S., Falcón, L., Fraser, H., Braa, J., Amarakoon, P., Marcelo, A., & Paton, C. (2021). Using open source, open data, and civic technology to address the COVID-19 pandemic and infodemic. Yearbook of Medical Informatics, 30(1), 38-43. doi: 10.1055/s-0041-1726488

Muinga, N., Abejirinde, I.-O. O., Paton, C., English, M., & Zweekhorst, M. (2021). Designing paper-based records to improve the quality of nursing documentation in hospitals: A scoping review. Journal of Clinical Nursing, 30, 56-71. doi: 10.1111/jocn.15545

Paton, C., Kushniruk, A. W., Borycki, E. M., English, M., & Warren, J. (2021). Improving the usability and safety of digital health systems: The role of predictive human-computer interaction modeling. Journal of Medical Internet Research, 23(5), e25281. doi: 10.2196/25281

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2020). Understanding requirements prioritisation: Literature survey and critical evaluation. IET Software, 14(6), 607-622. doi: 10.1049/iet-sen.2019.0215

McCool, J., Dobson, R., Muinga, N., Paton, C., Pagliari, C., Agawal, S., … Whittaker, R. (2020). Factors influencing the sustainability of digital health interventions in low-resource settings: Lessons from five countries. Journal of Global Health, 10(2), 020396. doi: 10.7189/jogh.10.020396

Zhang, H., & Deng, J. D. (2020). Design and management solutions to emergent networking technologies. International Journal of Parallel, Emergent & Distributed Systems. Advance online publication. doi: 10.1080/17445760.2020.1767102

Rees, G. H., Crampton, P., Gauld, R., & MacDonell, S. (2018). New Zealand's health workforce planning should embrace complexity and uncertainty. New Zealand Medical Journal, 131(1477), 109-115. Retrieved from https://www.nzma.org.nz/journal

Wolfe, H. B. (2017). The mobile phone as surveillance device: Progress, perils, and protective measures. Computer, 50(11), 50-58. doi: 10.1109/mc.2017.4041351

Whigham, P. A. (2014). Wolfgang Banzhaf: Genetic programming and emergence. Genetic Programming & Evolvable Machines, 15(1), 99-101. doi: 10.1007/s10710-013-9204-y

Bellot, P., Chappell, T., Doucet, A., Geva, S., Kamps, J., Kazai, G., … Trotman, A., & Wang, Q. (2012). Report on INEX 2011. ACM SIGIR Forum, 46(1), 33-42.

Journal - Professional & Other Non-Research Articles

Broll, W., Regenbrecht, H., & Swan, II, J. E. (2018). Message from the ISMAR 2017 Science and Technology program chairs and guest editors. IEEE Transactions on Visualization & Computer Graphics, 24(7), 2266-2267. doi: 10.1109/TVCG.2018.2823772

Wolfe, H. (2015). Editorial. INFOrm, 3, 7. [Editorial].

Moore, A., & Whigham, P. (2014). Special feature: Geographic information science and remote sensing. Journal of Spatial Science, 59(2), 235-236. doi: 10.1080/14498596.2014.922038

Wolfe, H. (2014). Editorial. INFOrm, 2, 7. [Editorial].

Quigg, R., Reeder, A. I., Gray, A., Waters, D., & Holt, A. (2013). Using GPS units and accelerometers to evaluate the effect of playground upgrades on the amount of child physical activity. Australasian Parks & Leisure, 16(1), 21-26.

Winikoff, M., Desai, N., & Liu, A. (2012). Principles and practice of multi-agent systems [Guest editorial]. Multiagent & Grid Systems, 8(2), 125-126. doi: 10.3233/mgs-2012-0188

Chhanabhai, P. N., & Holt, A. (2010). M-Health a ″silver bullet″ for the developing world [Comment]. Health Affairs, 29(2). Retrieved from http://content.healthaffairs.org/cgi/eletters/29/2/252

Conference Contribution - Published proceedings: Full paper

Ismail, F. N., Sengupta, A., Woodford, B. J., & Licorish, S. A. (2024). A comparison of one-class versus two-class machine learning models for wildfire prediction in California. In D. Benavides-Prado, S. Erfani, P. Fournier-Viger, Y. L. Boo & Y. S. Koh (Eds.), Data Science and Machine Learning: Proceedings of the 21st Australasian Conference, AusDM 2023 [Communications in Computer and Information Science 1943]. (pp. 239-253). Singapore: Springer. doi: 10.1007/978-981-99-8696-5_17

Paton, C., Amarakoon, P., Braa, J., Kobayashi, S., Marcelo, A., Kane, T., … Hannan, T. (2024). Open source software in healthcare: International case series from the IMIA Open Source Working Group. In J. Bichel-Findlay, P. Otero, P. Scott & E. Huesing (Eds.), Proceedings of the 19th World Congress on Medical and Health Informatics: MEDINFO 2023: The Future is Accessible: Studies in Health Technology and Informatics (Vol. 310). (pp. 1266-1270). Amsterdam, The Netherlands: IOS Press. doi: 10.3233/shti231168

Anavankot, A., Cranefield, S., & Savarimuthu, B. T. R. (2023). Towards norm entrepreneurship in agent societies. In P. Mathieu, F. Dignum, P. Novais & F. De la Prieta (Eds.), Advances in practical applications of agents, multi-agent systems, and cognitive mimetics, 21st International Conference, PAAMS 2023: Lecture notes in artificial intelligence (Vol. 13955). (pp. 188-199). Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-031-37616-0_16

Charpenay, V., Baldoni, M., Ciortea, A., Cranefield, S., Padget, J., & Singh, M. P. (2023). Governing agents on the web (Blue sky ideas). In N. Fornara, J. Cheriyan & A. Mertzani (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XVI: 27th International Workshop, COINE 2023, revised selected papers: Lecture notes in artificial intelligence (Vol. 14002). (pp. 55-73). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-49133-7_4

Duncan, S., Regenbrecht, H., & Langlotz, T. (2023). Fusing exocentric and egocentric real-time reconstructions for embodied immersive experiences. In D. Bailey, A. Punchihewa & A. Paturkar (Eds.), Proceedings of the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ61134.2023.10343817

Emsenhuber, G., Langlotz, T., Kalkofen, D., Sutton, J., & Tatzgern, M. (2023). Eye-perspective view management for optical see-through head-mounted displays. Proceedings of the CHI Conference on Human Factors in Computing Systems. 707. New York, NY: ACM. doi: 10.1145/3544548.3581059

Freitas dos Santos, T., Cranefield, S., Savarimuthu, B. T. R., Osman, N., & Schorlemmer, M. (2023). Cross-community Adapter Learning (CAL) to understand the evolving meanings of norm violation. In E. Elkind (Ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI ). (pp. 109-117). International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2023/13

Freitas, G., Bernardo, J. H., Sizílio, G., Alencar da Costa, D., & Kulesza, U. (2023). Analyzing the impact of CI sub-practices on continuous code quality in open-source projects: An empirical study. Proceedings of the XXXVII Brazilian Symposium on Software Engineering (SBES). New York, NY: ACM. doi: 10.1145/3613372.3613403

Hasselman, T., Lo, W. H., Langlotz, T., & Zollmann, S. (2023). ARephotography: Revisiting historical photographs using augmented reality. Proceedings of the CHI Conference on Human Factors in Computing Systems. LBW040. New York, NY: ACM. doi: 10.1145/3544549.3585646

Samarasekara, C. K., Ott, C., & Robins, A. (2023). Future scenarios for high school digital technology in New Zealand. Proceedings of the 25th Australasian Computing Education (ACE) Conference. (pp. 21-30). New York, NY: ACM. doi: 10.1145/3576123.3576126

Saraiva, D., Alencar da Costa, D., Kulesza, U., Sizílio, G., Neto, J. G., Coelho, R., & Nagappan, M. (2023). Unveiling the relationship between continuous integration and code coverage. Proceedings of the IEEE/ACM 20th International Conference on Mining Software Repositories (MSR). (pp. 247-259). IEEE. doi: 10.1109/MSR59073.2023.00043

Savarimuthu, B. T. R., Zareen, Z., Cheriyan, J., Yasir, M., & Galster, M. (2023). Barriers for social inclusion in online software engineering communities: A study of offensive language use in Gitter projects. Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 217-222). New York, USA: ACM. doi: 10.1145/3593434.3593463

Sengupta, A., Cranefield, S., & Pitt, J. (2023). Generalising Axelrod's metanorms game through the use of explicit domain-specific norms. In N. Fornara, J. Cheriyan & A. Mertzani (Eds.), Coordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XVI: 27th International Workshop, COINE 2023, revised selected papers: Lecture notes in artificial intelligence (Vol. 14002). (pp. 21-36). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-49133-7_2

Woodford, B. J. (2023). Automatic parameter optimisation framework for ECoS-based models. Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE. doi: 10.1109/IJCNN54540.2023.10191789

Zwanenburg, S. P., Vincent, K., Deng, J., Gurtner, M., Gage, R., Smith, M., & Signal, L. (2023). Kids’ digital distractions: An observation study of recorded everyday screentime by 12-year-olds. Proceedings of the Australasian Conference on Information Systems (ACIS). 110. Retrieved from https://aisel.aisnet.org/acis2023

Zwanenburg, S., Tate, M., Johnstone, D., & Adie, B. (2023). Research methods in 30 years of information systems: A bibliometric trend study. Proceedings of the Americas Conference on Information Systems (AMCIS): Diving into Uncharted Waters. 1328. [Full Paper]

Ghandour, A., Woodford, B. J., Almutairy, A., & Al-Srehan, H. S. (2022). Means to support the ends: Forums that escape the official gaze in the educational institutions. Proceedings of the International Arab Conference on Information Technology (ACIT). IEEE. doi: 10.1109/ACIT57182.2022.9994133

Hou, J., Ding, X., & Deng, J. D. (2022). Semi-supervised semantic segmentation of vessel images using leaking perturbations. Proceedingsof the IEEE/CFV Winter Conference on Applications of Computer Vision (WACV). (pp. 1769-1778). IEEE. doi: 10.1109/WACV51458.2022.00183

Licorish, S. A., & Wagner, M. (2022). Dissecting Copy/Delete/Replace/Swap mutations: Insights from a GIN Case Study. In J. E. Fieldsend (Ed.), Proceedings of the Genetics and Evolutionary Computation Conference (GECCO). (pp. 1940-1945). New York, NY: Association for Computing Machinery. doi: 10.1145/3520304.3533970

Lo, W. H., Regenbrecht, H., & Zollmann, S. (2022). Flexible XR prototyping: A sports spectating example. IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). (pp. 167-170). IEEE. doi: 10.1109/ISMAR-Adjunct57072.2022.00038

Lo, W. H., Regenbrecht, H., Ens, B., & Zollmann, S. (2022). A context-aware interface for immersive sports spectating. IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). (pp. 605-610). IEEE. doi: 10.1109/ISMAR-Adjunct57072.2022.00125

Muthukumarana, S., Nassani, A., Park, N., Steimle, J., Billinghurst, M., & Nanayakkara, S. (2022). XRtic: A prototyping toolkit for XR applications using cloth deformation. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (pp. 548-557). IEEE. doi: 10.1109/ISMAR55827.2022.00071

Omondiagbe, O. P., Licorish, S. A., & MacDonell, S. G. (2022). Preventing negative transfer on sentiment analysis in deep transfer learning. In W. Liu & L. Pang (Eds.), Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR) [CEUR Workshop Proceedings: Vol. 3317]. CEUR-WS. Retrieved from https://ceur-ws.org

Ott, C., & Liesaputra, V. (2022). Using affective learning analytics in industry-focused projects: Experiences and challenges. In J. Sheard & P. Denny (Eds.), Proceedings of the 24th Australasian Computing Education (ACE) Conference. (pp. 153-162). New York, NY: ACM. doi: 10.1145/3511861.3511878

Owen, C. A., Dick, G., & Whigham, P. A. (2022). Towards explainable AutoML using error decomposition. Advances in artificial intelligence: Lecture notes in artificial intelligence (Vol. 13728). (pp. 177-190). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_32

Pang, Y., Zhang, H., Deng, J. D., Peng, L., & Teng, F. (2022). Rule-based collaborative learning with heterogeneous local learning models. In J. Gama, T. Li, Y. Yu, E. Chen, Y. Zheng & F. Teng (Eds.), Advances in knowledge discovery and data mining: Proceedings of the 26th Pacific-Asia Conference, PAKDD (Part 1): Lecture notes in artificial intelligence (Vol. 13280). (pp. 639-651). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-05933-9_50

Park, N., Regenbrecht, H., Duncan, S., Mills, S., Lindeman, R. W., Pantidi, N., & Whaanga, H. (2022). Mixed reality co-design for indigenous culture preservation & continuation. Proceedings of the IEEE Conference on Virtual Reality & 3D User Interfaces. (pp. 149-157). Piscataway, NJ: IEEE. doi: 10.1109/VR51125.2022.00006

Samarasekara, C. K., Ott, C., & Robins, A. (2022). Barriers to New Zealand high school CS education: Learners' perspectives. Proceedings of the 53rd Annual SIGCSE Technical Symposium on Computer Science Education. (pp. 927-933). New York, NY: ACM. doi: 10.1145/3478431.3499344

Samarasekara, C. K., Ott, C., & Robins, A. (2022). Teachers’ Views on the Implementation of a New High School Computing Curriculum. In I. Jormanainen & A. Petersen (Eds.), Proceedings of the 22nd Koli Calling Conference on Computing Education Research. New York, NY: Association for Computer Machinery. doi: 10.1145/3564721.3564732

Santos, J., Alencar da Costa, D., & Kulesza, U. (2022). Investigating the impact of continuous integration practices on the productivity and quality of open-source projects. In F. Madeiral, C. Lassenius, T. Conte & T. Männistö (Eds.), Proceedings of the 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). (pp. 137-147). New York, NY: ACM. doi: 10.1145/3544902.3546244

Tran, T. Q. (2022). Toward methods to develop experience measurements for mixed reality. IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). (pp. 266-269). IEE. doi: 10.1109/ISMAR-Adjunct57072.2022.00059

Woodford, B. J. (2022). Boosted self-evolving neural networks for pattern recognition. Advances in artificial intelligence: Lecture notes in artificial intelligence (Vol. 13728). (pp. 456-469). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_32

Zwanenburg, S. P., & Tran, K. T. (2022). Digitally distracted: Development and examination of conflicted technology use. Proceedings of the Australasian Conference on Information Systems (ACIS). 71. Retrieved from https://aisel.aisnet.org/acis2022

Cheriyan, J., Savarimuthu, B. T. R., & Cranefield, S. (2021). Towards offensive language detection and reduction in four Software Engineering communities. In R. Chitchyan, J. Li, B. Weber & T. Yue (Eds.), Proceedings of the Evaluation and Assessment in Software Engineering (EASE) Conference. (pp. 254-259). New York, NY: ACM. doi: 10.1145/3463274.3463805

Cranefield, S., & Dhiman, A. (2021). Identifying norms from observation using MCMC sampling. In Z.-H. Zhou (Ed.), Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI). (pp. 118-124). IJCAI. doi: 10.24963/ijcai.2021/17

Cranefield, S., & Savarimuthu, B. T. R. (2021). Normative multi-agent systems and human-robot interaction. Proceedings of the Ro-Man Workshop on Robot Behavior Adaptation to Human Social Norms (TSAR). Retrieved from https://tsar2021.ai.vub.ac.be

Hou, J., Deng, J. D., Cranefield, S., & Ding, X. (2021). Cross-domain latent modulation for variational transfer learning. Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV). (pp. 3148-3157). Piscataway, NJ: IEEE. doi: 10.1109/WACV48630.2021.00319

Jaakola, M., Polvinen, T., Holvitie, J., Licorish, S. A., & Leppänen, V. (2021). From setting up innovation in a novel context to discovering sustainable business: A framework for short-term events. Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). (pp. 260-269). IEEE. doi: 10.1109/SEAA53835.2021.00040

Kerdegari, H., Nhat, P. T. H., McBride, A., VITAL Consortium, including Paton, C., Razavi, R., … Gomez, A. (2021). Automatic detection of B-lines in lung ultrasound videos from severe dengue patients. Proceedings of the IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE. doi: 10.1109/ISBI48211.2021.9434006

Le, K.-D., Tran, T. Q., Chlasta, K., Krejtz, K., Fjeld, M., & Kunz, A. (2021). VXSIate: Combining head movement and mobile touch for large virtual display interaction. Proceedings of the 28th IEEE Conference on Virtual Reality and 3D User Interfaces. (pp. 528-529). IEEE. doi: 10.1109/vrw52623.2021.00146

Le, K.-D., Tran, T. Q., Chlasta, K., Krejtz, K., Fjeld, M., & Kunz, A. (2021). VXSlate: Exploring combination of head movements and mobile touch for large virtual display interaction. In W. Ju & L. Oehlberg (Eds.), Proceedings of the Designing Interactive Systems (DIS) Conference. (pp. 283-297). New York, NY: ACM. doi: 10.1145/3461778.3462076

Lo, W. H., Regenbrecht, H., & Zollmann, S. (2021). Technical factors affecting augmented reality user experiences in sports spectating. In Y. Itoh, K. Takashima, P. Punpongsanon, M. Sra, K. Fujita, S. Yoshida & T. Piumsomboon (Eds.), Proceedings of the 27th ACM Symposium on Virtual Reality Software & Technology (VRST). New York, NY: Association for Computing Machinery. doi: 10.1145/3489849.3489906

Lo, W. H., Regenbrecht, H., & Zollmann, S. (2021). XRSpectator: Immersive, augmented sports spectating. In Y. Itoh, K. Takashima, P. Punpongsanon, M. Sra, K. Fujita, S. Yoshida & T. Piumsomboon (Eds.), Proceedings of the 27th ACM Symposium on Virtual Reality Software & Technology (VRST). New York, NY: Association for Computing Machinery. doi: 10.1145/3489849.3489930

Lo, W. H., Zollmann, S., & Regenbrecht, H. (2021). From off-site to on-site: A flexible framework for XR prototyping in sports spectating. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653277

Ott, C., John, S., Zwanenburg, S., Stanger, N., & Mills, S. (2021). Is this degree for me? Exploring computing students' study decisions. Proceedings of the 23rd Australasian Computing Education Conference (ACE). (pp. 96-105). New York, NY: ACM. doi: 10.1145/3441636.3442310

Ott, C., McCane, B., & Meek, N. (2021). Mastery learning in CS1: An invitation to procrastinate?: Reflecting on six years of mastery learning. Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) (Vol. 1). (pp. 18-24). New York, NY: ACM. doi: 10.1145/3430665.3456321

Samarasekara, C. K., Ott, C., & Robins, A. (2021). A decade of CS education in New Zealand’s high schools: Where are we at? Proceedings of the 16th Workshop in Primary and Secondary Computing Education (WiPSCE). New York, NY: Association for Computing Machinery. doi: 10.1145/3481312.3481321

Samarasekara, C. K., Ott, C., & Robins, A. (2021). Students' perspectives on high school CS education in NZ. Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) (Vol. 2). (pp. 646). New York, NY: ACM. doi: 10.1145/3456565.3460070

Sengupta, A., Hirave, T., & Mehrotra, N. (2021). A preliminary investigation of LEACH, TEEN and DEEC towards wireless sensing application. Proceedings of the International Conference on Communication Information and Computing Technology (ICCICT). IEEE. doi: 10.1109/ICCICT50803.2021.9510108

Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2021). Extracting rationale for Open Source Software Development decisions: A study of Python email archives. Proceedings of the IEE/ACM 43rd International Conference on Software Engineering (ICSE). (pp. 1008-1019). doi: 10.1109/ICSE43902.2021.00095

Sharma, P. N., Savarimuthu, B. T. R., & Stanger, N. (2021). Influence of roles in decision-making during OSS development: A study of Python. In R. Chitchyan, J. Li, B. Weber & T. Yue (Eds.), Proceedings of the Evaluation and Assessment in Software Engineering (EASE) Conference. (pp. 50-59). New York, NY: ACM. doi: 10.1145/3463274.3463326

Woodford, B. J., & Ghandour, A. (2021). An information retrieval-based approach to activity recognition in Smart Homes. In H. Hacid, F. Outay, H.-Y. Paik, A. Alloum, M. Petrocchi, M. R. Bouadjenek, … A. Maaradji (Eds.), Service-oriented computing: ICSOC 2020 Workshops: Lecture notes in computer science (Vol. 12632). 12632 LNCS, (pp. 583-595). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-76352-7_51

Zwanenburg, S., Nakhoda, M., & Whigham, P. (2021). A conceptual evaluation of measures of interdisciplinarity. In W. Glänzel, S. Heeffer, P.-S. Chi & R. Rousseau (Eds.), Proceedings of the 18th International Conference on Scientometrics & Informetrics (ISSI). (pp. 1423-1431). International Society for Scientometrics and Informetrics (I.S.S.I.). Retrieved from https://www.issi-society.org

Amaral, L., Oliveira, M. C., Luz, W., Fortes, J., Bonifácio, R., Alencar da Costa, D., … Lo, D. (2020). How (not) to find bugs: The interplay between merge conflicts, co-changes, and bugs. Proceedings of the IEEE International Conference on Software Maintenance and Evolution (ICSME). (pp. 441-452). IEEE. doi: 10.1109/icsme46990.2020.00049

Baker, L., Ventura, J., Zollmann, S., Mills, S., & Langlotz, T. (2020). SPLAT: Spherical Localization and Tracking in Large Spaces. Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces. (pp. 809-817). IEEE. doi: 10.1109/VR46266.2020.00105

Bosu, M. F., MacDonell, S. G., & Whigham, P. (2020). Testing the stationarity assumption in software effort estimation datasets. Proceedings of the 33nd International Conference on Software Engineering and Knowledge Engineering (SEKE). (pp. 198-203). Pittsburgh, PA: KSI Research and Knowledge Systems Institute Graduate School. doi: 10.18293/SEKE2020

Bosu, M. F., MacDonell, S. G., & Whigham, P. (2020). Time-aware models for software effort estimation. Proceedings of the 33nd International Conference on Software Engineering and Knowledge Engineering (SEKE). (pp. 164-167). Pittsburgh, PA: KSI Research and Knowledge Systems Institute Graduate School. doi: 10.18293/SEKE2020

Cahill-Lane, J., Mills, S., & Duncan, S. (2020). Body part labelling with Minkowski networks. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ48456.2019.8961026

Collins, J., Langlotz, T., & Regenbrecht, H. (2020). Virtual reality in education: A case study on exploring immersive learning for prisoners. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW). (pp. 110-115). IEEE. doi: 10.1109/ISMAR-Adjunct51615.2020.00042

Cranefield, S., Clark-Younger, H., & Hay, G. (2020). A collective action simulation platform. In M. Paolucci, J. S. Sichman & H. Verhagen (Eds.), Multi-agent-based simulation XX (20th International Workshop, MABS 2019): Lecture notes in artificial intelligence (Vol. 12025). (pp. 69-80). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-60843-9_6

Deng, J. D., & Parry, M. (2020). Data Science programmes: Is there an ideal design? Proceedings of the 62nd International Statistics Institute (ISI) World Statistics Congress: Special Topic Session. Vol. 3, (pp. 66-73). Putrajaya, Malaysia: Department of Statistics Malaysia. Retrieved from www.isi2019.org

Dick, G., Owen, C. A., & Whigham, P. A. (2020). Feature standardisation and coefficient optimisation for effective symbolic regression. Proceedings of the Genetic & Evolutionary Computation Conference (GECCO). (pp. 306-314). New York, NY: ACM. doi: 10.1145/3377930.3390237

Diehl, M., Plopski, A., Kato, H., & Ramirez-Amaro, K. (2020). Augmented Reality interface to verify Robot Learning. Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication [RO-MAN]. (pp. 378-383). IEEE. doi: 10.1109/RO-MAN47096.2020.9223502

Ghandour, A., & Woodford, B. J. (2020). COVID-19 impact on e-commerce in UAE. Proceedings of the 21st International Arab Conference on Information Technology (ACIT). IEEE. doi: 10.1109/ACIT50332.2020.9300077

Inoue, N., Fujimoto, Y., Plopski, A., Okahashi, S., Kanbara, M., Hsu, H.-Y., … Kato, H. (2020). Effect of display location on finger motor skill training with music-based gamification. In Q. Gao & J. Zhou (Eds.), Human aspects of IT for the aged population: Healthy and active aging: Lecture notes in computer science (Part II) (Vol. 12208). 12208 LNCS, (pp. 78-90). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-50249-2_6

Li, J., Deng, J. D., De Ridder, D., & Adhia, D. (2020). Gender classification of EEG signals using a motif attribute classification ensemble. Proceedings of the International Joint Conference on Neural Networks (IJCNN). (pp. 1-8). IEEE. doi: 10.1109/IJCNN48605.2020.9207695

Liu, C., Orlosky, J., & Plopski, A. (2020). Eye gaze-based object rotation for head-mounted displays. In S. N. Spencer (Ed.), Proceedings of the 6th ACM Symposium on Spatial User Interaction (SUI). 4. New York, NY: ACM. doi: 10.1145/3385959.3418444

Malgaonkar, S., Licorish, S. A., & Savarimuthu, B. T. R. (2020). Towards automated taxonomy generation for grouping app reviews: A preliminary empirical study. Proceedings of the International Conference on the Quality of Information and Communications Technology (QUATIC). (pp. 120-134). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-58793-2_10

Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. E. (2020). A multiproduct single machine economic production quantity (EPQ) inventory model with discrete delivery order, joint production policy and budget constraints. Annals of Operations Research, 286, (pp. 265-301). doi: 10.1007/s10479-017-2650-9

Ott, C., & Liesaputra, V. (2020). Industry-focused projects in an intense one-year ICT programme. Proceedings of the Twenty-Second Australasian Computing Education Conference (ACE). (pp. 132-141). ACM. doi: 10.1145/3373165.3373180

Park, J.-W., Mills, S., Whaanga, H., Mato, P., Lindeman, R. W., & Regenbrecht, H. (2020). Towards a Māori telepresence system. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). doi: 10.1109/IVCNZ48456.2019.8961016

Petrie, F., & Mills, S. (2020). Real time ray tracing of analytic and implicit surfaces. Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ51579.2020.9290653

Petrie, F., Mills, S., Bennani, H., Walter, R., & Greig, K. (2020). Stitching partial 3D models with an application to modelling stone flakes. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ48456.2019.8961032

Safayet Arefin, M., Phillips, N., Plopski, A., Gabbard, J. L., & Swan, II, J. E. (2020). Impact of AR display context switching and focal distance switching on human performance: Replication on an AR haploscope. Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). (pp. 571-572). IEEE. doi: 10.1109/VRW50115.2020.00137

Savarimuthu, B. T. R., Corbett, J., Yasir, M., & Lakshmi, V. (2020). Using machine learning to improve the sustainability of the online review market. Proceedings of the International Conference on Information Systems (ICIS): Making Digital Inclusive: Blending the Local and the Global. 167844. [Full Paper]

Sharma, P., Savarimuthu, B. T. R., & Stanger, N. (2020). Mining decision-making processes in open source software development: A study of Python Enhancement Proposals (PEPs) using email repositories. Proceedings of the Evaluation and Assessment in Software Engineering (EASE). (pp. 200-209). ACM. doi: 10.1145/3383219.3383240

Tong, L., Jung, S., Li, R. C., Lindeman, R. W., & Regenbrecht, H. (2020). Action units: Exploring the use of directorial cues for effective storytelling with swivel-chair virtual reality. In N. Ahmadpour, T. Leong, B. Ploderer, C. Parker, S. Webber, D. Munoz, … M. Tomitsch (Eds.), Proceedings of the 32nd Australian Computer-Human Interaction Conference (OzCHI). (pp. 45-54). New York, NY: ACM. doi: 10.1145/3441000.3441063

Alwash, M., Savarimuthu, B. T. R., & Parackal, M. (2019). Shallow vs. deep customer engagement: A study of brand value propositions in Twitter. Proceedings of the 27th European Conference on Information Systems (ECIS). (pp. 1-12). Retrieved from https://aisel.aisnet.org/ecis2019_rp/96

Amaral, C. J., Cranefield, S., Hübner, J. F., & Roloff, M. L. (2019). Giving Camel to artifacts for Industry 4.0 integration challenges. In Y. Demazeau, E. Matson, J. M. Corchado & F. De la Prieta (Eds.), Advances in practical applications of survivable agents and multi-agent systems: Lecture notes in artificial intelligence (Vol. 11523). (pp. 232-236). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-24209-1_20

Baker, L., Zollmann, S., Mills, S., & Langlotz, T. (2019). SoftPOSIT for augmented reality in complex environments: Limitations and challenges. Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2018.8634761

Caires, V. C., Rios, N., Holvitie, J., Leppänen, V., Licorish, S. A., MacDonell, S. G., … Spínola, R. O. (2019). Processos e práticas ágeis sensíveis à dívida técnica: Comparação dos resultados de um survey executadao no Brasil, Finlândia e Nova Zelândia [Agile processes and practices sensitive to technical debt: Comparison of results of a survey executed in Brazil, Finland, and New Zealand]. Proceedings of the 25th Americas Conference on Information Systems (AMCIS). 151731. Retrieved from https://aisel.aisnet.org/amcis2019/spanish_portuguese_latin_america/spanish_portuguese_latin_america/30/

Collins, J., Regenbrecht, H., Langlotz, T., Can, Y. S., Ersoy, C., & Butson, R. (2019). Measuring cognitive load and insight: A methodology exemplified in a virtual reality learning context. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Piscataway, NJ: IEEE. doi: 10.1109/ISMAR.2019.00033

Cranefield, S., Oren, N., & Vasconcelos, W. (2019). Accountability for practical reasoning agents. In M. Lujak (Ed.), Agreement technologies: Lecture notes in artificial intelligence (Vol. 11327). (pp. 33-48). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-17294-7_3

Deng, J. D. (2019). Performance modelling of synchronized predictive sensing for clustered wireless sensor networks. Proceedings of the 25th Asia-Pacific Conference on Communications (APCC). (pp. 165-170). IEEE. doi: 10.1109/APCC47188.2019.9026508

Felidré, W., Furtado, L., Alencar da Costa, D., Cartaxo, B., & Pinto, G. (2019). Continuous integration theater. Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. IEEE. doi: 10.1109/ESEM.2019.8870152

Ghandour, A., & Woodford, B. J. (2019). Ethical issues in artificial intelligence in UAE. Proceedings of the International Arab Conference on Information Technology (ACIT). (pp. 262-266). IEEE. [Full Paper]

Hirave, T., Khan, A., Surve, S., & Malgaonkar, S. (2019). Data analytics research agenda: E-learning its integration with other platforms. Proceedings of the Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). IEEE. doi: 10.1109/ICCUBEA.2018.8697405

Hou, J., Ding, X., Deng, J. D., & Cranefield, S. (2019). Unsupervised domain adaptation using deep networks with cross-grafted stacks. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). (pp. 3257-3264). IEEE. doi: 10.1109/ICCVW.2019.00407

Ismail, F. N., Woodford, B. J., & Licorish, S. A. (2019). Evaluating the boundaries of big data environments for machine learning. In J. Liu & J. Bailey (Eds.), Advances in artificial intelligence: Lecture notes in artificial intelligence (Vol. 11919). (pp. 253-264). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35288-2_21

Kaplan, O., Yamamoto, G., Taketomi, T., Plopski, A., & Kato, H. (2019). Video-based visualization of knee movement in cycling for quantitative and qualitative monitoring. Proceedings of the 12th Asia Pacific Workshop on Mixed and Augmented Reality (APMAR). IEEE. doi: 10.1109/APMAR.2019.8709267

Klünder, J., Hebig, R., Tell, P., Kuhrmann, M., Nakatumba-Nabende, J., Heldal, R., … Licorish, S. A., … MacDonell, S. G. (2019). Catching up with method and process practice: An industry-informed baseline for researchers. Proceedings of the 41st Software Engineering International Conference: Software Engineering in Practice (ICSE-SEIP). (pp. 255-264). IEEE. doi: 10.1109/ICSE-SEIP.2019.00036

Liu, C., Plopski, A., Klyokawa, K., Ratsamee, P., & Orlosky, J. (2019). IntelliPupil: Pupillometric light modulation for optical see-through head-mounted displays. In D. Chu, J. L. Gabbard, J. Grubert & H. Regenbrecht (Eds.), Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (pp. 98-104). IEEE. doi: 10.1109/ISMAR.2018.00037

Mardanbegi, D., Langlotz, T., & Gellersen, H. (2019). Resolving target ambiguity in 3D gaze interaction through VOR depth estimation. Proceedings of the CHI Conference on Human Factors in Computing Systems. 612. New York, NY: ACM. doi: 10.1145/3290605.3300842

Mohr, P., Tatzgern, M., Langlotz, T., Lang, A., Schmalstieg, D., & Kalkofen, D. (2019). TrackCap: Enabling smartphones for 3D interaction on mobile head-mounted displays. Proceedings of the CHI Conference on Human Factors in Computing Systems. 585. New York, NY: ACM. doi: 10.1145/3290605.3300815

Neto, E. C., Alencar da Costa, D., & Kulesza, U. (2019). Revisiting and improving SZZ implementations. Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). IEEE. doi: 10.1109/ESEM.2019.8870178

Omondiagbe, O. P., Licorish, S. A., & MacDonell, S. G. (2019). Features that predict the acceptability of Java and JavaScript answers on Stack Overflow. Proceedings of the Evaluation and Assessment on Software Engineering (EASE). (pp. 101-110). ACM. doi: 10.1145/3319008.3319024

Ty, J., Inoue, N., Plopski, A., Okahashi, S., Sandor, C., Hsu, H.-Y., … Kato, H. (2019). Integration of augmented reality with pressing evaluation and training system for finger force training. In J. Zhou & G. Salvendy (Eds.), Proceedings of the Human Aspects of IT for the Aged Population (ITAP) International Conference: Social Media, Games and Assistive Environments. (pp. 575-587). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-22015-0_45

Yang, A., Alencar da Costa, D., & Zou, Y. (2019). Predicting Co-Changes between Functionality Specifications and Source Code in Behavior Driven Development. Proceedings of the 16th Mining Software Repositories (MSR) International Conference. IEEE. doi: 10.1109/MSR.2019.00080

Zollmann, S., Langlotz, T., Loos, M., Lo, W. H., & Baker, L. (2019). ARSpectator: Exploring augmented reality for sport events. Special Interest Group on Computer Graphics (SIGGRAPH) Asia Technical Briefs: SA '19. (pp. 75-78). New York, NY: ACM. doi: 10.1145/3355088.3365162

Zwanenburg, S. P. (2019). Focused immersion: When do information technology affordances disrupt it? Proceedings of the Australiasian Conference on Information Systems. (pp. 485-494). Retrieved from https://aisel.aisnet.org/acis2019/

Bomnale, A., & Malgaonkar, S. (2018). Power optimization in wireless sensor networks. Proceedings of the International Conference on Communication, Information and Computing Technology (ICCICT). IEEE. doi: 10.1109/ICCICT.2018.8325870

Chugh, M., Whigham, P. A., & Dick, G. (2018). Stability of word embeddings using Word2Vec. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artificial intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 812-818). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_73

Collins, J., Regenbrecht, H., & Langlotz, T. (2018). Back to the future: Constructivist learning in virtual reality. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). (pp. 45-46). IEEE. doi: 10.1109/ISMAR-Adjunct.2018.00030

Corbett, J., Savarimuthu, T., & Mohanna, M. (2018). Are electricity prosumers more engaged? An analysis of brand-follower engagement on twitter. Proceedings of the 24th Americas Conference on Information Systems (AMCIS): Digital Disruption. 139332. AIS. [Full Paper]

Dick, G., Owen, C. A., & Whigham, P. A. (2018). Evolving bagging ensembles using a spatially-structured niching method. Proceedings of the Genetic and Evolutionary Computation Conference. (pp. 418-425). New York, NY: ACM. doi: 10.1145/3205455.3205642

Greenheld, G., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Automating developers' responses to app reviews. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 66-70). IEEE. doi: 10.1109/ASWEC.2018.00017

John, S., Butson, R., & Spronken-Smith, R. (2018). Mining digital reality: Exploring the virtual activities of undergraduate students. In M. Campbell, J. Willems, C. Adachi, D. Blake, I. Doherty, S. Krishnan, … J. Tai (Eds.), Proceedings of the 35th Australasian Society for Computers in Learning in Tertiary Education (ASCILITE) International Conference: Open Oceans: Learning without Borders. (pp. 418-422). Retrieved from http://ascilite.org

Langlotz, T., Sutton, J., Zollmann, S., Itoh, Y., & Regenbrecht, H. (2018). ChromaGlasses: Computational glasses for compensating colour blindness. Proceedings of the CHI Conference on Human Factors in Computing Systems. 390. Montreal, Canada: ACM. doi: 10.1145/3173574.3173964

Lee, S. H.-S., Deng, J. D., Purvis, M. K., & Purvis, M. (2018). Hierarchical population-based learning for optimal large-scale coalition structure generation in smart grids. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 16-28). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_2

Licorish, S. A., Zolduoarrati, E., & Stanger, N. (2018). Linking user requests, developer responses and code changes: Android OS case study. Proceedings of the 22nd International Conference on Evaluation & Assessment in Software Engineering (EASE). (pp. 79-89). ACM. doi: 10.1145/3210459.3210467

Lotter, A., Licorish, S. A., Savarimuthu, B. T. R., & Meldrum, S. (2018). Code reuse in stack overflow and popular open source Java projects. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 141-150). IEEE. doi: 10.1109/ASWEC.2018.00027

Nimcharoen, C., Zollmann, S., Collins, J., & Regenbrecht, H. (2018). Is that me?: Embodiment and body perception with an augmented reality mirror. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). (pp. 158-163). IEEE. doi: 10.1109/ISMAR-Adjunct.2018.00057

Owen, C. A., Dick, G., & Whigham, P. A. (2018). Feature standardisation in symbolic regression. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 565-576). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_52

Shamoug, A., Cranefield, S., & Dick, G. (2018). Information retrieval for humanitarian crises via a semantically classified word embedding. In K. Stock & D. Bunker (Eds.), Proceedings of the Information Systems for Crisis Response and Management Asia Pacific 2018 Conference: Innovating for Resilience. (pp. 132-144). Wellington, New Zealand: Massey University. [Full Paper]

Stanger, N. (2018). Semi-automated assessment of SQL schemas via database unit testing. In J. C. Yang, M. Chang, L.-H. Wong & M. M. T. Rodrigo (Eds.), Proceedings of the 26th International Conference on Computers in Education (ICCE). (pp. 237-246). Taiwan, China: Asia-Pacific Society for Computers in Education. [Full Paper]

Tahir, A., Bennin, K. E., MacDonell, S. G., & Marsland, S. (2018). Revisiting the size effect in software fault prediction models. Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). 23. IEEE. doi: 10.1145/3239235.3239243

Tahir, A., Yamashita, A., Licorish, S., Dietrich, J., & Counsell, S. (2018). Can you tell me if it smells? A study on how developers discuss code smells and anti-patterns in Stack Overflow. Proceedings of the 22nd International Conference on Evaluation & Assessment in Software Engineering (EASE). (pp. 68-78). New York, NY: ACM. doi: 10.1145/3210459.3210466

Tell, P., MacDonell, S., & Licorish, S. A. (2018). 3rd workshop on hybrid development approaches in software system development. In M. Kuhrmann, K. Schneider, D. Pfahl, S. Amasaki, M. Ciolkowski, R. Hebig, … S. Küpper (Eds.), Product-Focused Software Process Improvement (PROFES): Lecture notes in computer science (Vol. 11271). (pp. 433-440). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03673-7_34

Tran, T. Q., Tran, T. D. N., Nguyen, T. D., Regenbrecht, H., & Tran, M.-T. (2018). Can we perceive changes in our moving speed? A comparison between directly and indirectly powering the locomotion in virtual environments. Proceedings of the 24th ACM Symposium on Virtual Reality Software & Technology (VRST). 36. New York, NY: ACM. doi: 10.1145/3281505.3281510

Whigham, P. A., Chugh, M., & Dick, G. (2018). Measuring language complexity using word embeddings. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 843-854). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_76

Winikoff, M., Dignum, V., & Dignum, F. (2018). Why bad coffee? Explaining agent plans with valuings. In B. Gallina, A. Skavhaug, E. Schoitsch & F. Bitsch (Eds.), Computer safety, reliability, and security: Lecture notes in computer science (Vol. 11094). (pp. 521-534). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-99229-7_47

Winikoff, M., Yadav, N., & Padgham, L. (2018). A new hierarchical agent protocol notation. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2, (pp. 1180-1182). ACM. Retrieved from https://dl.acm.org/dl.cfm

Yasir, M., Michael, K., Savarimuthu, B. T. R., & Licorish, S. A. (2018). Formal in the informal: A multi-level analysis of core python developers' tweets. Proceedings of the 25th Australasian Software Engineering Conference (ASWEC). (pp. 151-160). IEEE. doi: 10.1109/ASWEC.2018.00028

Zareei, S., & Deng, J. D. (2018). Impact of compression ratio and reconstruction methods on ECG classification for E-health gadgets: A preliminary study. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 85-97). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_9

Zareei, S., Afshar Sedigh, A. H., Deng, J. D., & Purvis, M. (2018). Buffer management using integrated queueing models for mobile energy harvesting sensors. Proceedings of the IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 17581028 . IEEE. doi: 10.1109/PIMRC.2017.8292636

Zhang, F., Sun, K., Chen, Y., & Zhang, H. (2018). Adaptive tracking control and parameter identification for uncertain complex-variable chaotic systems. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). (pp. 1288-1293). IEEE. doi: 10.1109/AIM.2018.8452451

Baker, L., Mills, S., Langlotz, T., & Rathbone, C. (2017). Power line detection using Hough transform and line tracing techniques. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/ivcnz.2016.7804438

Counsell, S., Hall, T., Shippey, T., Bowes, D., Tahir, A., & MacDonell, S. (2017). Assert use and defectiveness in industrial code. Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering Workshops. (pp. 20-23). IEEE. doi: 10.1109/issrew.2017.20

Cranefield, S., Winikoff, M., Dignum, V., & Dignum, F. (2017). No pizza for you: Value-based plan selection in BDI agents. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI). (pp. 178-184). doi: 10.24963/ijcai.2017/26

Devananda, M., Cranefield, S., Lloyd, H., & Winikoff, M. (2017). Patient information model to support population-level workload analysis. Proceedings of the 28th Australasian Conference on Information Systems (ACIS). 48. Retrieved from https://www.acis2017.org

Devananda, M., Cranefield, S., Winikoff, M., & Lloyd, H. (2017). Workload prediction model of a primary health centre. Proceedings of the 25th European Conference on Information Systems (ECIS). (pp. 1192-1204). Retrieved from http://aisel.aisnet.org/ecis/

Dick, G. (2017). Sensitivity-like analysis for feature selection in genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). (pp. 401-408). New York, NY: ACM. doi: 10.1145/3071178.3071338

Diebold, P., Galster, M., Rainer, A., & Licorish, S. A. (2017). Interactive posters: An alternative to collect practitioners' experience. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 230-235). New York, NY: ACM. doi: 10.1145/3084226.3084272

Gu, X., Deng, J. D., & Purvis, M. K. (2017). A hierarchical segmentation tree for superpixel-based image segmentation. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/ivcnz.2016.7804454

Heinrich, C., Langlotz, T., & O'Keefe, R. (2017). Volume lens: Exploring medical volume datasets using mobile devices. In W. Broll, H. Regenbrecht, J. E. Swan, II, G. Bruder, M. Servières & M. Sugimoto (Eds.), Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct). (pp. 35-38). IEEE. doi: 10.1109/ISMAR-Adjunct.2017.26

Lee, S. H.-S., Deng, J. D., Peng, L., Purvis, M. K., & Purvis, M. (2017). Top-k merit weighting PBIL for optimal coalition structure generation of smart grids. In D. Liu, S. Xie, Y. Li, D. Zhao & E.-S. M. El-Alfy (Eds.), Neural information processing: Lecture notes in computer science (Vol. 10637). (pp. 171-181). Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-70093-9_18

Licorish, S. A., George, J. L., Owen, H. E., & Daniel, B. (2017). “Go Kahoot!” enriching classroom engagement, motivation and learning experience with games. Proceedings of the 25th International Conference on Computers in Education (ICCE). (pp. 755-764). Retrieved from http://icce2017.canterbury.ac.nz

Licorish, S. A., Savarimuthu, B. T. R., & Keertipati, S. (2017). Attributes that predict which features to fix: Lessons for App Store mining. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 108-117). New York, NY: ACM. doi: 10.1145/3084226.3084246

Meldrum, S., Licorish, S. A., & Savarimuthu, B. T. R. (2017). Crowdsourced knowledge on stack overflow: A systematic mapping study. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE). (pp. 180-185). New York, NY: ACM. doi: 10.1145/3084226.3084267

Mensah, S., Keung, J., MacDonell, S. G., Bosu, M. F., & Bennin, K. E. (2017). Investigating the significance of Bellwether effect to improve software effort estimation. Proceedings of the IEEE International Conference on Software Quality, Reliability and Security (QRS). (pp. 340-351). IEEE. doi: 10.1109/QRS.2017.44

Back to top