| Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing S Minn, Y Yu, MC Desmarais, F Zhu, JJ Vie 18th International Conference on Data Mining, 2018 | 151 | 2018 |
| AI-assisted knowledge assessment techniques for adaptive learning environments S Minn Computers and Education: Artificial Intelligence 3, 100050, 2022 | 72 | 2022 |
| Dynamic student classification on memory networks for knowledge tracing S Minn, MC Desmarais, F Zhu, J Xiao, J Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining 11440, 163, 2019 | 40 | 2019 |
| Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations S Minn, JJ Vie, K Takeuchi, H Kashima, F Zhu Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | 27 | 2022 |
| Improving knowledge tracing model by integrating problem difficulty S Minn, F Zhu, MC Desmarais 2018 IEEE International conference on data mining workshops (ICDMW), 1505-1506, 2018 | 21 | 2018 |
| On the Recommender System for University Library S Fu, Y Zhang, S Minn IADIS International Conference e-Learning 2013, 215-222, 2013 | 18* | 2013 |
| BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction S Minn arXiv preprint arXiv:2012.12218, 2020 | 17 | 2020 |
| Accelerating Structure Learning of Bayesian Network S Minn, S FU Journal of Computer Applications, 2016 | 8* | 2016 |
| Algorithm for exact recovery of Bayesian network for classification S Minn, S Fu, T Lv, Y Cai Journal of Computer Applications, 1327-1334, 2016 | 6 | 2016 |
| Efficient learning of general Bayesian network Classifier by Local and Adaptive Search S Minn, S Fu, MC Desmarais 2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014 | 6 | 2014 |
| Privacy-Preserving Synthetic Educational Data Generation JJ Vie, T Rigaux, S Minn European Conference on Technology Enhanced Learning, 2022 | 5 | 2022 |
| Refinement of a q-matrix with an ensemble technique based on multi-label classification algorithms S Minn, MC Desmarais, SK Fu Adaptive and Adaptable Learning: 11th European Conference on Technology …, 2016 | 5 | 2016 |
| Accelerating the recovery of Markov blanket using topology information F Shun-Kai, S Zhi-Zhen, S Minn, LV Tian-Yi Computer Science 42 (Z11), 42-48, 2015 | 5 | 2015 |
| Accelerated Structure Learning for General Multi-dimensional Bayesian Network Classifier S Fu, Z Li, S Minn Journal of Computer Science 42 (6), 262-267, 2015 | 5* | 2015 |
| Structure learning algorithm for general multi-dimensional Bayesian network classifiers ZLI S FU, M SEIN Journal of Computer Applications 34 (4), 1083-1088, 2014 | 3* | 2014 |
| Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier S Fu, S Minn, MC Desmarais 10th International Conference on Machine Learning and Data Mining in Pattern …, 2014 | 2 | 2014 |
| LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations S Minn arXiv preprint arXiv:2310.00570, 2023 | 1 | 2023 |
| Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality S Minn, F Shunkai 2023 IEEE International conference on data mining, 2023 | | 2023 |
| The Analysis of Student Traces for Q-Matrix Refinement and Knowledge Tracing S Minn École Polytechnique - Université de Montréal, 2020 | | 2020 |
| 基于拓扑信息加速马尔科夫毯学习 (Accelerating the Recovery of Markov Blanket Using Topology Information). S Fu, Z Su, S Minn, T Lv 计算机科学 42 (Z11), 42-48, 2015 | | 2015 |
Michel DesmaraisPolytechnique Montreal在 polymtl.ca 的电子邮件经过验证
