Tsubasa Minematsu

According to our database, Tsubasa Minematsu authored at least 31 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adaptive Learning Support System Based on Automatic Recommendation of Personalized Review Materials.

Fumiya Okubo, Tetsuya Shiino, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada

IEEE Trans. Learn. Technol., February, 2023

Improvement of Image Segmentation Model for Handwritten Notebook Analytics.

Yunyu Zhou, Tsubasa Minematsu, Atsushi Shimada

Proceedings of the IEEE International Conference on Image Processing, 2023

LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships.

Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Contrastive Learning for Reading Behavior Embedding in E-book System.

Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Predicting Student Scores Using Browsing Data and Content Information of Learning Materials.

Sayaka Kogishi, Tsubasa Minematsu, Atsushi Shimada, Hiroaki Kawashima

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Faster CNN-based vehicle detection and counting strategy for fixed camera scenes.

Ahmed Gomaa, Tsubasa Minematsu, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Rin-Ichiro Taniguchi

Multim. Tools Appl., 2022

Development and Evaluation of a Field Environment Digest System for Agricultural Education.

Kanu Shiga, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the Towards a Collaborative Society Through Creative Learning, 2022

A System to Realize Time- and Location-Independent Teaching and Learning Among Learners Through Sharing Learning-Articles.

Seiyu Okai, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Hideaki Uchiyama, Atsushi Shimada

Proceedings of the Towards a Collaborative Society Through Creative Learning, 2022

Scaled-Dot Product Attention for Early Detection of At-risk Students.

Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada

Proceedings of the IEEE International Conference on Teaching, 2022

Exploring the Use of Probabilistic Latent Representations to Encode the Students' Reading Characteristics.

Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2022

How Does Analysis of Handwritten Notes Provide Better Insights for Learning Behavior?

Boyi Li, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Predicting Student Performance based on Lecture Materials Data using Neural Network Models.

Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the 4th Workshop on Predicting Performance Based on the Analysis of Reading Behavior, 2022

Background Subtraction Network Module Ensemble for Background Scene Adaptation.

Taiki Hamada, Tsubasa Minematsu, Atsushi Shimada, Fumiya Okubo, Yuta Taniguchi

Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021

Early Detection of At-risk Students based on Knowledge Distillation RNN Models.

Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Composing Learning Environments with e-Textbook System (short paper).

Yuta Taniguchi, Tsubasa Minematsu, Atsushi Shimada

Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

2020

Semi-automatic Learning Framework Combining Object Detection and Background Subtraction.

Sugino Nicolas Alejandro, Tsubasa Minematsu, Atsushi Shimada, Takashi Shibata, Rin-Ichiro Taniguchi, Eiji Kaneko, Hiroyoshi Miyano

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Real-Time Learning Analytics Dashboard for Students in Online Classes.

Takuro Owatari, Atsushi Shimada, Tsubasa Minematsu, Maiya Hori, Rin-Ichiro Taniguchi

Proceedings of the IEEE International Conference on Teaching, 2020

Inactive Behavior Analytics In On-Site Lectures.

Tsubasa Minematsu, Manon Saguey, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the IEEE International Conference on Teaching, 2020

Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction.

Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the IEEE International Conference on Image Processing, 2020

Visualization and Analysis for Supporting Teachers Using Clickstream Data and Eye Movement Data.

Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2020

2019

Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow.

Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo-Zahhad, Tsubasa Minematsu, Rin-Ichiro Taniguchi

Sensors, 2019

Advanced Tools for Digital Learning Management Systems in University Education.

Atsushi Shimada, Tsubasa Minematsu, Masanori Yamada

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2019

Simple background subtraction constraint for weakly supervised background subtraction network.

Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera.

Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Vincent Charvillat, Rin-Ichiro Taniguchi

Sensors, 2018

Analytics of Deep Neural Network-Based Background Subtraction.

Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi

J. Imaging, 2018

2017

Adaptive background model registration for moving cameras.

Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi

Pattern Recognit. Lett., 2017

Simple Combination of Appearance and Depth for Foreground Segmentation.

Tsubasa Minematsu, Atsushi Shimada, Hideaki Uchiyama, Rin-Ichiro Taniguchi

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017

Analytics of deep neural network in change detection.

Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Background initialization based on bidirectional analysis and consensus voting.

Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

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

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Evaluation of foreground detection methodology for a moving camera.

Tsubasa Minematsu, Hideaki Uchiyama, Atsushi Shimada, Hajime Nagahara, Rin-Ichiro Taniguchi

Proceedings of the 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2015