Tsubasa Minematsu

48 papers A 2B 10C 6Journal 10Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Estimating Learners' Position and Work Time for Teaching Reflection in Agricultural Training. ACPR (1) Koshi Saito, Tsubasa Minematsu, Atsushi Shimada
2025	—	`conf`	Exploring Students' Generative AI Usage Patterns and Knowledge Creation in Collaborative Problem Solving. AIED Companion (2) Shotaro Naganuma, Tsubasa Minematsu, Sachika Shibukawa, Aikana Ohno, Yukinori Wakihama
2025	—	`conf`	Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge. AIED (5) Tsubasa Minematsu, Atsushi Shimada
2024	J	`jnl`	A framework of specialized knowledge distillation for Siamese tracker on challenging attributes. Mach. Vis. Appl. Yiding Li, Atsushi Shimada, Tsubasa Minematsu, Cheng Tang
2024	—	`conf`	Analysis of Adapter in Attention of Change Detection Vision Transformer. ACCV Workshops (1) Ryunosuke Hamada, Tsubasa Minematsu, Cheng Tang, Atsushi Shimada
2024	J	`jnl`	Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. IEEE Access Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
2024	—	`conf`	Comparison of Large Language Models for Generating Contextually Relevant Questions. EC-TEL (2) Ivo Lodovico Molina, Valdemar Svábenský, Tsubasa Minematsu, Li Chen, Fumiya Okubo, Atsushi Shimada
2024	J	`jnl`	Comparison of Large Language Models for Generating Contextually Relevant Questions. CoRR Ivo Lodovico Molina, Valdemar Svábenský, Tsubasa Minematsu, Li Chen, Fumiya Okubo, Atsushi Shimada
2024	B	`conf`	E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. EDM Yuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada
2024	J	`jnl`	E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. CoRR Yuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada
2024	—	`conf`	Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. KSEM (2) Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada
2023	J	`jnl`	Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials. IEEE Trans. Learn. Technol. Fumiya Okubo, Tetsuya Shiino, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada
2023	A	`conf`	Contrastive Learning for Reading Behavior Embedding in E-book System. AIED Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada
2023	B	`conf`	Improvement of Image Segmentation Model for Handwritten Notebook Analytics. ICIP Yunyu Zhou, Tsubasa Minematsu, Atsushi Shimada
2023	C	`conf`	Investigating Programming Performance Predictability from Embedding Vectors of Coding Behaviors. ICCE Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, Atsushi Shimada
2023	B	`conf`	LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships. EDM Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2023	—	`conf`	Predicting Student Scores Using Browsing Data and Content Information of Learning Materials. AIED (Posters/Late Breaking Results/...) Sayaka Kogishi, Tsubasa Minematsu, Atsushi Shimada, Hiroaki Kawashima
2022	—	`conf`	A System to Realize Time- and Location-Independent Teaching and Learning Among Learners Through Sharing Learning-Articles. WCCE Seiyu Okai, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Hideaki Uchiyama, Atsushi Shimada
2022	C	`conf`	Assessment of At-Risk Students' Predictions From E-Book Activities Representations In Practical Applications. ICCE Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2022	B	`conf`	Background Subtraction Network Module Ensemble for Background Scene Adaptation. AVSS Taiki Hamada, Tsubasa Minematsu, Atsushi Shimada, Fumiya Okubo, Yuta Taniguchi
2022	C	`conf`	Detection of At-Risk Studentsin Programming Courses. ICCE Ikkei Igawa, Yuta Taniguchi, Tsubasa Minematsu, Fumiya Okubo, Atsushi Shimada
2022	—	`conf`	Development and Evaluation of a Field Environment Digest System for Agricultural Education. WCCE Kanu Shiga, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, Rin-Ichiro Taniguchi
2022	—	`conf`	Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics. LAK (Data Challenge) Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2022	J	`jnl`	Faster CNN-based vehicle detection and counting strategy for fixed camera scenes. Multim. Tools Appl. Ahmed Gomaa, Tsubasa Minematsu, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Rin-Ichiro Taniguchi
2022	A	`conf`	How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior? LAK Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2022	—	`conf`	Predicting Student Performance based on Lecture Materials Data using Neural Network Models. LAK (Data Challenge) Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2022	—	`conf`	Scaled-Dot Product Attention for Early Detection of At-risk Students. TALE Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
2022	C	`conf`	Topic-Based Representation of Learning Activities for New Learning Pattern Analytics. ICCE Jinghao Wang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2021	—	`conf`	Composing Learning Environments with e-Textbook System (short paper). iTextbooks@AIED Yuta Taniguchi, Tsubasa Minematsu, Atsushi Shimada
2021	B	`conf`	Early Detection of At-risk Students based on Knowledge Distillation RNN Models. EDM Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada
2020	—	`conf`	Inactive Behavior Analytics In On-Site Lectures. TALE Tsubasa Minematsu, Manon Saguey, Atsushi Shimada, Rin-Ichiro Taniguchi
2020	C	`conf`	Learning Support through Personalized Review Material Recommendations. ICCE Tetsuya Shiino, Atsushi Shimada, Tsubasa Minematsu, Rin-Ichiro Taniguchi
2020	C	`conf`	OpenLA: Library for Efficient E-book Log Analysis and Accelerating Learning Analytics. ICCE Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada
2020	—	`conf`	Real-Time Learning Analytics Dashboard for Students in Online Classes. TALE Takuro Owatari, Atsushi Shimada, Tsubasa Minematsu, Maiya Hori, Rin-Ichiro Taniguchi
2020	B	`conf`	Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction. ICIP Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
2020	—	`conf`	Semi-automatic Learning Framework Combining Object Detection and Background Subtraction. VISIGRAPP (5: VISAPP) Sugino Nicolas Alejandro, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata, Rin-Ichiro Taniguchi, Eiji Kaneko, Hiroyoshi Miyano
2020	—	`conf`	Visualization and Analysis for Supporting Teachers Using Clickstream Data and Eye Movement Data. HCI (23) Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
2019	—	`conf`	Advanced Tools for Digital Learning Management Systems in University Education. HCI (22) Atsushi Shimada, Tsubasa Minematsu, Masanori Yamada
2019	J	`jnl`	Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow. Sensors Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Tsubasa Minematsu, Rin-Ichiro Taniguchi
2019	B	`conf`	Simple background subtraction constraint for weakly supervised background subtraction network. AVSS Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
2018	J	`jnl`	Analytics of Deep Neural Network-Based Background Subtraction. J. Imaging Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi
2018	J	`jnl`	Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera. Sensors Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Vincent Charvillat, Rin-Ichiro Taniguchi
2017	J	`jnl`	Adaptive background model registration for moving cameras. Pattern Recognit. Lett. Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi
2017	B	`conf`	Analytics of deep neural network in change detection. AVSS Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
2017	—	`conf`	Simple Combination of Appearance and Depth for Foreground Segmentation. ICIAP Workshops Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi
2016	B	`conf`	Background initialization based on bidirectional analysis and consensus voting. ICPR Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi
2015	B	`conf`	Adaptive search of background models for object detection in images taken by moving cameras. ICIP Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi
2015	—	`conf`	Evaluation of foreground detection methodology for a moving camera. FCV Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi