What is learned from exposure: An error-driven approach to productivity in language D Divjak, P Milin, A Ez-Zizi, J Józefowski, C Adam Language, Cognition and Neuroscience 36 (1), 60-83, 2021 | 32 | 2021 |
What makes the past perfect and the future progressive? Experiential coordinates for a learnable, context-based model of tense and aspect L Romain, A Ez-zizi, P Milin, D Divjak Cognitive Linguistics 33 (2), 251-289, 2022 | 14 | 2022 |
Error‐correction mechanisms in language learning: modeling individuals A Ez‐zizi, D Divjak, P Milin Language Learning 74 (1), 41-77, 2024 | 6 | 2024 |
Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty A Ez-Zizi, S Farrell, D Leslie, G Malhotra, CJH Ludwig Computational Brain & Behavior 6 (4), 626-650, 2023 | 6 | 2023 |
Bayesian reinforcement learning in Markovian and non-Markovian tasks A Ez-Zizi, S Farrell, D Leslie 2015 IEEE Symposium Series on Computational Intelligence, 579-586, 2015 | 5 | 2015 |
Optimal gut size of small birds and its dependence on environmental and physiological parameters A Ez-Zizi, JM McNamara, G Malhotra, AI Houston Journal of Theoretical Biology 454, 357-366, 2018 | 3 | 2018 |
Reinforcement learning in partially observable tasks: State uncertainty and memory dependence A Ez-zizi University of Bristol, 2016 | 2 | 2016 |
Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach OA Madamidola, F Ngobigha, A Ez-zizi arXiv preprint arXiv:2407.07918, 2024 | | 2024 |
(Rethinking) Representations of case M Borowski, A Ez-zizi, P Milin, D Divjak 52nd Annual Meeting of the Societas Linguistica Europaea, 495, 2019 | | 2019 |
Implicit sequence learning: Reaction time and pupil response as indicators of motor and perceptual learning S Medimorec, P Milin, A Ez-zizi, D Divjak Scandinavian Workshop on Applied Eye Tracking, 19, 2018 | | 2018 |