Items where Subject is "Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > COGNITIVE SCIENCE (170200) > Knowledge Representation and Machine Learning (170203)"
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Number of items at this level: 15.
Choupan, Jeiran, Hocking, Julia, Johnson, Kori, Reutens, David, & Yang, Zhengyi (2013) Brain decoding based on functional magnetic resonance imaging using machine learning : a comparative study. International Journal of Machine Learning and Computing, 3(1), pp. 132-136.
Flender, Christian, Kitto, Kirsty, & Bruza, Peter D. (2009) Beyond ontology in information systems. In Bruza, Peter D., Sofge, Don, Lawless, William, Rijsbergen, Keith van, & Klusch, Matthias (Eds.) Third Quantum Interaction Symposium, 25-27 March 2009, Saarbruecken, Germany.
Kinley, Khamsum, Tjondronegoro, Dian W., & Partridge, Helen (2010) Web searching interaction model based on user cognitive styles. In Viller, Stephen & Kraal, Ben (Eds.) Proceedings of the 22nd Australasian Conference on Computer-Human Interaction (OZCHI 2010), ACM, Queensland University of Technology, Brisbane, pp. 340-343.
Kinley, Khamsum, Tjondronegoro, Dian W., Partridge, Helen L., & Edwards, Sylvia L. (2012) Human–computer interaction : the impact of users’ cognitive styles on query reformulation behaviour during web searching. In Proceedings of Australasian Conference on Computer-Human Interaction (OZCHI 2012), Melbourne, Vic. (In Press)
Larue, Gregoire, Rakotonirainy, Andry, & Pettitt, Anthony N. (2010) Forecasting negative effects of monotony and sensation seeking on performance during a vigilance task. Journal of the Australasian College of Road Safety, 21(4), pp. 42-48.
Low Choy, Samantha J., Mengersen, Kerrie L., & Rousseau, Judith (2008) Encoding Expert Opinion on Skewed Non-Negative Distributions. Journal of Applied Probability and Statistics, 3(1), pp. 1-21.
Low Choy, Samantha J., O'Leary, Rebecca A., & Mengersen, Kerrie L. (2009) Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models. Ecology, 90(1), pp. 265-277.
Nelson, Douglas, Kitto, Kirsty, Galea, David, McEvoy, Cathy, & Bruza, Peter D. (2013) How activation, entanglement, and searching a semantic network contribute to event memory. Memory and Cognition, 41(6), pp. 797-819.
O'Leary, Rebecca A., Murray, Justine V., Low Choy, Samantha J., & Mengersen, Kerrie L. (2008) Expert Elicitation for Bayesian Classification Trees. Journal of Applied Probability & Statistics, 3(1), pp. 95-106.
Smith, Ryan N. , Das, Jnaneshwar, Hine, Graham, Anderson, Will, & Sukhatme, Gaurav S. (2011) Predicting wave glider speed from environmental measurements. In Proceedings of MTS/IEEE Oceans 2011, IEEE, Hilton Waikoloa Village, Kona, Hawai‘i. (In Press)
Yeh, Andy (2010) Three primary school students’ cognition about 3D rotation in a virtual reality learning environment. In Sparrow, Len, Kissane, Barry, & Hurst, Chris (Eds.) Shaping the Future of Mathematics Education : Proceedings of the 33rd Annual Conference of the Mathematics Education Research Group of Australasia, MERGA, Fremantle, Western Australia, pp. 690-697.
Yeh, Andy J. (2004) Two Turns Must Take Turns: Primary School Students’ Cognition about 3D Rotation in a Virtual Reality Learning Environment. In Yang, Wei-Chi, Chu, Sung-Chi, De Alwis, Tilak, & Ang, Keng-Cheng (Eds.) Asian Technology Conference in Mathematics (ATCM), 13-17 December, 2004, Singapore.
Yeh, Andy J. & Nason, Rodney A. (2004) Knowledge Building of 3D Geometry Concepts and Processes within a Virtual Reality Learning Environment. In World Conference on Educational Multimedia, Hypermedia & Telecommunications, 21-26, June, 2004, Lugano, Switzerland.
Yeh, Andy J. & Nason, Rodney A. (2004) VRMath: A 3D Microworld for Learning 3D Geometry. In World Conference on Educational Multimedia, Hypermedia & Telecommunications, 21-26, June, 2004, Lugano, Switzerland.
Zuccon, Guido, Daniel, Kotzur, Nguyen, Anthony, & Bergheim, Anton (2014) De-Identification of health records using Anonym : effectiveness and robustness across datasets. Artificial Intelligence in Medicine, 61(3), pp. 145-151.