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Sein Minn
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2020 – today
- 2023
- [c9]Sein Minn, Shunkai Fu:
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality. ICDM (Workshops) 2023: 966-975 - [i6]Sein Minn:
LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations. CoRR abs/2310.00570 (2023) - [i5]Sein Minn, Shunkai Fu:
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality. CoRR abs/2310.09222 (2023) - 2022
- [j4]Sein Minn:
AI-assisted knowledge assessment techniques for adaptive learning environments. Comput. Educ. Artif. Intell. 3: 100050 (2022) - [c8]Sein Minn, Jill-Jênn Vie
, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI 2022: 12810-12818 - [c7]Jill-Jênn Vie, Tomas Rigaux, Sein Minn:
Privacy-Preserving Synthetic Educational Data Generation. EC-TEL 2022: 393-406 - [i4]Jill-Jênn Vie, Tomas Rigaux, Sein Minn:
Privacy-Preserving Synthetic Educational Data Generation. CoRR abs/2207.03202 (2022) - 2021
- [i3]Sein Minn, Jill-Jênn Vie
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR abs/2112.11209 (2021) - 2020
- [i2]Sein Minn:
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction. CoRR abs/2012.12218 (2020)
2010 – 2019
- 2019
- [c6]Sein Minn, Michel C. Desmarais, Feida Zhu
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. PAKDD (2) 2019: 163-174 - 2018
- [c5]Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. ICDM 2018: 1182-1187 - [c4]Sein Minn, Feida Zhu
Improving Knowledge Tracing Model by Integrating Problem Difficulty. ICDM Workshops 2018: 1505-1506 - [i1]Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jênn Vie:
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. CoRR abs/1809.08713 (2018) - 2016
- [j3]Sein Minn, Shunkai Fu:
贝叶斯网络结构加速学习算法 (Accelerating Structure Learning of Bayesian Network). 计算机科学 43(2): 263-268 (2016) - [c3]Sein Minn, Michel C. Desmarais, Shunkai Fu:
Refinement of a Q-matrix with an Ensemble Technique Based on Multi-label Classification Algorithms. EC-TEL 2016: 165-178 - 2015
- [j2]Shunkai Fu, Zhiqiang Li, Sein Minn:
多维贝叶斯网络分类器加速学习算法 (Accelerated Structure Learning for General Multi-dimensional Bayesian Network Classifier). 计算机科学 42(6): 262-267 (2015) - [j1]Shunkai Fu, Zhizhen Su, Sein Minn, Tianyi Lv:
基于拓扑信息加速马尔科夫毯学习 (Accelerating the Recovery of Markov Blanket Using Topology Information). 计算机科学 42(Z11): 42-48 (2015) - 2014
- [c2]Sein Minn, Shunkai Fu, Michel C. Desmarais:
Efficient learning of general Bayesian network Classifier by Local and Adaptive Search. DSAA 2014: 385-391 - [c1]Shunkai Fu, Sein Minn, Michel C. Desmarais:
Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier. MLDM 2014: 16-30
Coauthor Index
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