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2020 – today
- 2024
[j2]Giada Confortola
, Mika Takata, Naoaki Yokoi, Masashi Egi:
Enhancing Predictive Models to Lower Rehospitalization Risk: Utilizing Historical Medical Records for AI-Driven Interventions. IEEE Access 12: 78911-78921 (2024)- [i1]Hiroyuki Namba, Shota Horiguchi, Masaki Hamamoto, Masashi Egi:
Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits. CoRR abs/2402.08209 (2024) - 2023
- [j1]Masaki Hamamoto, Hiroyuki Namba, Masashi Egi:
Ensemble-Based Method for Correcting Global Explanation of Prediction Model. IEICE Trans. Inf. Syst. 106(2): 218-228 (2023) - [c7]Yuta Tsuchiya, Yasuhide Mori, Masashi Egi:
Explainable Reinforcement Learning Based on Q-Value Decomposition by Expected State Transitions. AAAI Spring Symposium: MAKE 2023 - [c6]Giada Confortola, Mika Takata, Naoaki Yokoi, Masashi Egi:
Actionable Suggestions in Support of Rehospitalization Risk Predicted by Artificial Intelligence. BigComp 2023: 155-162 - 2021
- [c5]Masaki Hamamoto, Masashi Egi:
Model-agnostic Ensemble-based Explanation Correction Leveraging Rashomon Effect. SSCI 2021: 1-8 - [c4]Hiroyuki Namba, Masashi Egi:
Piecewise Simplification Approach for Accurate and Understandable Model. SSCI 2021: 1-7 - 2020
- [c3]Yuyao Wang, Masayoshi Mase, Masashi Egi:
Attribution-based Salience Method towards Interpretable Reinforcement Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020
2010 – 2019
- 2019
- [c2]Wataru Hashimoto, Masaharu Hirota, Tetsuya Araki, Yukio Yamamoto, Masashi Egi, Morihiro Hirate, Masao Maura, Hiroshi Ishikawa:
Detection of Car Abnormal Vibration using Machine Learning. ISM 2019: 40-47 - 2018
- [c1]Masashi Egi, Hiroshi Ishikawa:
Scale-free dynamics of human behavior in personal computer operations. MEDES 2018: 191-195 - 2010
- [p1]Ken Naono, Takao Sakurai, Masashi Egi:
Automatically Tuned Sparse Eigensolvers. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 121-133
Coauthor Index
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