| Training reinforcement rates, resistance to extinction, and the role of context in reinstatement L Miranda-Dukoski, J Bensemann, CA Podlesnik Learning & Behavior 44, 29-48, 2016 | 24 | 2016 |
| Law of effect models and choice between many alternatives MA Navakatikyan, P Murrell, J Bensemann, M Davison, D Elliffe Journal of the Experimental Analysis of Behavior 100 (2), 222-256, 2013 | 14 | 2013 |
| AbductionRules: Training Transformers to Explain Unexpected Inputs N Young, Q Bao, J Bensemann, M Witbrock arXiv preprint arXiv:2203.12186, 2022 | 13 | 2022 |
| Eye gaze and self-attention: How humans and transformers attend words in sentences J Bensemann, A Peng, D Benavides-Prado, Y Chen, N Tan, PM Corballis, ... Proceedings of the Workshop on Cognitive Modeling and Computational …, 2022 | 10 | 2022 |
| Steady‐state choice between four alternatives obeys the constant‐ratio rule J Bensemann, B Lobb, CA Podlesnik, D Elliffe Journal of the experimental analysis of behavior 104 (1), 7-19, 2015 | 10 | 2015 |
| Data and model bias in artificial intelligence for healthcare applications in New Zealand V Yogarajan, G Dobbie, S Leitch, TT Keegan, J Bensemann, M Witbrock, ... Frontiers in Computer Science 4, 1070493, 2022 | 8 | 2022 |
| The effects of implementing phenomenology in a deep neural network J Bensemann, M Witbrock Heliyon 7 (6), 2021 | 7 | 2021 |
| Multi2Claim: Generating scientific claims from multi-choice questions for scientific fact-checking N Tan, T Nguyen, J Bensemann, A Peng, Q Bao, Y Chen, M Gahegan, ... Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 3 | 2023 |
| An explainability analysis of a sentiment prediction task using a transformer-based attention filter NO Tan, J Bensemann, D Benavides-Prado, Y Chen, M Gahegan, L Lee, ... Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems, 1-7, 2021 | 3 | 2021 |
| The effects of changeover delays on local choice S Gomes-Ng, J Landon, D Elliffe, J Bensemann, S Cowie Behavioural processes 150, 36-46, 2018 | 3 | 2018 |
| Building the Blocks of Being: The Attributes and Qualities Required for Consciousness I Tait, J Bensemann, T Nguyen Philosophies 8 (4), 52, 2023 | 2 | 2023 |
| Simulations and the evolution of consciousness J Bensemann, P O’Leary, Y Chen, L Miranda-Dukoski, M Witbrock ALIFE 2022: The 2022 Conference on Artificial Life, 2022 | 2 | 2022 |
| Challenges in Annotating Datasets to Quantify Bias in Under-represented Society V Yogarajan, G Dobbie, T Pistotti, J Bensemann, K Knowles arXiv preprint arXiv:2309.08624, 2023 | 1 | 2023 |
| Relating blindsight and ai: a review J Bensemann, Q Bao, G Gendron, T Hartill, M Witbrock Journal of Artificial Intelligence and Consciousness 9 (01), 111-125, 2022 | 1 | 2022 |
| What Possible Use Could Consciousness Be? J Bensemann, M Witbrock Eighth Annual Conference on Advances in Cognitive Systems (2020), 2020 | 1 | 2020 |
| Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation? T Hartill, J Bensemann, M Witbrock, PJ Riddle arXiv preprint arXiv:2311.12337, 2023 | | 2023 |
| Is it Possible to Preserve a Language using only Data? V Yogarajan, J Bensemann, J Brown, M Witbrock Wiley, 2023 | | 2023 |
| Is it Possible to Preserve a Language using only Data? J Bensemann, J Brown, M Witbrock, V Yogarajan Cognitive Science 47 (6), e13300, 2023 | | 2023 |
| A parametric analysis of procedural fidelity errors following mastery of a task: A translational study G Falakfarsa, D Brand, J Bensemann, L Jones, CF Miguel, MR Heinicke, ... Journal of applied behavior analysis 56 (3), 607-617, 2023 | | 2023 |
| From What You See to What We Smell: Linking Human Emotions to Bio-markers in Breath J Bensemann, H Cheena, DTJ Huang, E Broadbent, J Williams, J Wicker IEEE Transactions on Affective Computing, 2023 | | 2023 |
Michael WitbrockProfessor of Computer Science, Waipapa Taumata Rau: The University of AucklandDirección de correo verificada de auckland.ac.nz
