Automatically Tuned Sparse Eigensolvers. - Ken Naono; Takao Sakurai; Masashi Egi (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010)

Scale-free dynamics of human behavior in personal computer operations. - Masashi Egi; Hiroshi Ishikawa 004 (MEDES, 2018)

Detection of Car Abnormal Vibration using Machine Learning. - Wataru Hashimoto; Masaharu Hirota; Tetsuya Araki; Yukio Yamamoto; Masashi Egi; Morihiro Hirate; Masao Maura; Hiroshi Ishikawa 004 (ISM, 2019)

Attribution-based Salience Method towards Interpretable Reinforcement Learning. - Yuyao Wang; Masayoshi Mase; Masashi Egi (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Model-agnostic Ensemble-based Explanation Correction Leveraging Rashomon Effect. - Masaki Hamamoto; Masashi Egi (SSCI, 2021)

Piecewise Simplification Approach for Accurate and Understandable Model. - Hiroyuki Namba; Masashi Egi (SSCI, 2021)

Explainable Reinforcement Learning Based on Q-Value Decomposition by Expected State Transitions. - Yuta Tsuchiya; Yasuhide Mori; Masashi Egi (AAAI Spring Symposium: MAKE, 2023)

Actionable Suggestions in Support of Rehospitalization Risk Predicted by Artificial Intelligence. - Giada Confortola; Mika Takata; Naoaki Yokoi; Masashi Egi (BigComp, 2023)

Ensemble-Based Method for Correcting Global Explanation of Prediction Model. - Masaki Hamamoto; Hiroyuki Namba; Masashi Egi (IEICE Trans. Inf. Syst., 2023)

Enhancing Predictive Models to Lower Rehospitalization Risk: Utilizing Historical Medical Records for AI-Driven Interventions. - Giada Confortola; Mika Takata; Naoaki Yokoi; Masashi Egi (IEEE Access, 2024)

Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits. - Hiroyuki Namba; Shota Horiguchi; Masaki Hamamoto; Masashi Egi (CoRR, 2024)