| Improving adam optimizer A Tato, R Nkambou | 88 | 2018 |
| Convolutional neural network for automatic detection of sociomoral reasoning level. A Tato, R Nkambou, A Dufresne, MH Beauchamp International Educational Data Mining Society, 2017 | 20 | 2017 |
| Improving adam optimizer. 2018 A Tato, R Nkambou View Article, 2018 | 16 | 2018 |
| Predicting learner’s deductive reasoning skills using a bayesian network A Tato, R Nkambou, J Brisson, S Robert Artificial Intelligence in Education: 18th International Conference, AIED …, 2017 | 15 | 2017 |
| A Bayesian network for the cognitive diagnosis of deductive reasoning A Tato, R Nkambou, J Brisson, C Kenfack, S Robert, P Kissok Adaptive and Adaptable Learning: 11th European Conference on Technology …, 2016 | 13 | 2016 |
| Infusing expert knowledge into a deep neural network using attention mechanism for personalized learning environments A Tato, R Nkambou Frontiers in Artificial Intelligence 5, 921476, 2022 | 12 | 2022 |
| Semi-supervised multimodal deep learning model for polarity detection in arguments T Ange, N Roger, D Aude, F Claude 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 12 | 2018 |
| Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills. AAN Tato, R Nkambou, A Dufresne EDM, 2019 | 10 | 2019 |
| Assessing and optimizing socio-moral reasoning skills: Findings from the MorALERT serious video game H Zarglayoun, J Laurendeau-Martin, A Tato, E Vera-Estay, A Blondin, ... Frontiers in Psychology 12, 767596, 2022 | 9 | 2022 |
| Some improvements of deep knowledge tracing A Tato, R Nkambou 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 9 | 2019 |
| Towards an intelligent tutoring system for logical reasoning in multiple contexts R Nkambou, J Brisson, C Kenfack, S Robert, P Kissok, A Tato Design for Teaching and Learning in a Networked World: 10th European …, 2015 | 7 | 2015 |
| Ontological reference model for piloting procedures MA Courtemanche, A Tato, R Nkambou International Conference on Intelligent Tutoring Systems, 95-104, 2022 | 6 | 2022 |
| Towards predicting attention and workload during math problem solving A Tato, R Nkambou, R Ghali Intelligent Tutoring Systems: 15th International Conference, ITS 2019 …, 2019 | 6 | 2019 |
| —Introduction to Neural Networks VB Rao | 6 | 1995 |
| Predicting emotions from multimodal users' data A Tato, R Nkambou, C Frasson Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018 | 5 | 2018 |
| Preliminary evaluation of a serious game for socio-moral reasoning F Morasse, MH Beauchamp Intelligent Tutoring Systems: 14th International Conference, ITS 2018 …, 2018 | 4 | 2018 |
| Développement d'un système tutoriel intelligent pour l'apprentissage du raisonnement logique AAN Tato Université du Québec à Montréal, 2016 | 4 | 2016 |
| On the evaluation of the expert and the learner models of logic-muse tutoring system R Nkambou, AAN Tato, J Brisson, C Kenfack, S Robert, P Kissok Intelligent Tutoring Systems 506, 2016 | 4 | 2016 |
| Learning logical reasoning using an intelligent tutoring system: a hybrid approach to student modeling R Nkambou, J Brisson, A Tato, S Robert Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15930 …, 2023 | 3 | 2023 |
| Automatic execution of the ontological piloting procedures MA Courtemanche, A Tato, R Nkambou International Conference on Intelligent Tutoring Systems, 29-41, 2023 | 3 | 2023 |
Roger NkambouProfessor of Computer Science, Université du Québec à MontréalVerified email at uqam.ca