| 2025 | AIED | Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge. | Tsubasa Minematsu, Atsushi Shimada |
| 2025 | AIED | Exploring Students' Generative AI Usage Patterns and Knowledge Creation in Collaborative Problem Solving. | Shotaro Naganuma, Tsubasa Minematsu, Sachika Shibukawa, Aikana Ohno, Yukinori Wakihama |
| 2024 | ACCV | Analysis of Adapter in Attention of Change Detection Vision Transformer. | Ryunosuke Hamada, Tsubasa Minematsu, Cheng Tang, Atsushi Shimada |
| 2024 | EDM | E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. | Yuma Miyazaki, Valdemar Svbensk, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada |
| 2024 | KSEM | Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. | Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada |
| 2023 | AIED | Predicting Student Scores Using Browsing Data and Content Information of Learning Materials. | Sayaka Kogishi, Tsubasa Minematsu, Atsushi Shimada, Hiroaki Kawashima |
| 2023 | AIED | Contrastive Learning for Reading Behavior Embedding in E-book System. | Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada |
| 2023 | EDM | LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships. | Erwin D. Lpez Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada |
| 2023 | ICCE | Investigating Programming Performance Predictability from Embedding Vectors of Coding Behaviors. | Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, Atsushi Shimada |
| 2023 | ICIP | Improvement of Image Segmentation Model for Handwritten Notebook Analytics. | Yunyu Zhou, Tsubasa Minematsu, Atsushi Shimada |
| 2022 | AVSS | Background Subtraction Network Module Ensemble for Background Scene Adaptation. | Taiki Hamada, Tsubasa Minematsu, Atsushi Shimada, Fumiya Okubo, Yuta Taniguchi |
| 2022 | ICCE | Detection of At-Risk Studentsin Programming Courses. | Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, Atsushi Shimada |
| 2022 | ICCE | Topic-Based Representation of Learning Activities for New Learning Pattern Analytics. | Jinghao Wang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada |
| 2022 | ICCE | Assessment of At-Risk Students' Predictions From E-Book Activities Representations In Practical Applications. | Erwin D. Lpez Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada |
| 2022 | LAK | Predicting Student Performance based on Lecture Materials Data using Neural Network Models. | Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada |
| 2022 | LAK | How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior? | Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada |
| 2022 | LAK | Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics. | Erwin D. Lpez Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada |
| 2021 | AIED | Composing Learning Environments with e-Textbook System (short paper). | Yuta Taniguchi, Tsubasa Minematsu, Atsushi Shimada |
| 2021 | EDM | Early Detection of At-risk Students based on Knowledge Distillation RNN Models. | Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada |
| 2020 | HCI | Visualization and Analysis for Supporting Teachers Using Clickstream Data and Eye Movement Data. | Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi |
| 2020 | ICCE | OpenLA: Library for Efficient E-book Log Analysis and Accelerating Learning Analytics. | Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada |
| 2020 | ICCE | Learning Support through Personalized Review Material Recommendations. | Tetsuya Shiino, Atsushi Shimada, Tsubasa Minematsu, Rin-Ichiro Taniguchi |
| 2020 | ICIP | Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction. | Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi |
| 2019 | AVSS | Simple background subtraction constraint for weakly supervised background subtraction network. | Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi |
| 2019 | HCI | Advanced Tools for Digital Learning Management Systems in University Education. | Atsushi Shimada, Tsubasa Minematsu, Masanori Yamada |
| 2017 | AVSS | Analytics of deep neural network in change detection. | Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi |
| 2017 | ICIAP | Simple Combination of Appearance and Depth for Foreground Segmentation. | Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi |
| 2016 | ICPR | Background initialization based on bidirectional analysis and consensus voting. | Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi |
| 2015 | ICIP | Adaptive search of background models for object detection in images taken by moving cameras. | Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi |