Atsushi Shimada

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Rin-ichiro TaniguchiKyushu UniversityDirección de correo verificada de kyudai.jp
Fumiya OkuboKyushu UniversityDirección de correo verificada de ait.kyushu-u.ac.jp
Hiroaki OgataProfessor at Kyoto University, JapanDirección de correo verificada de kyoto-u.ac.jp
Masanori YamadaFull Professor, Data-Driven Innovation Initiative, Kyushu UniversityDirección de correo verificada de mark-lab.net
Hajime NagaharaProfessor of Osaka UniversityDirección de correo verificada de ids.osaka-u.ac.jp
Tsubasa MinematsuKyushu universityDirección de correo verificada de limu.ait.kyushu-u.ac.jp
Yuta TaniguchiAssociate Professor, Research Institute for Information Technology, Kyushu UniversityDirección de correo verificada de m.kyushu-u.ac.jp
Daisaku AritaUniversity of NagasakiDirección de correo verificada de sun.ac.jp
Chengjiu YINKyushu UniversityDirección de correo verificada de m.kyushu-u.ac.jp
Misato OIAssociate Professor at Kindai UniversityDirección de correo verificada de fuk.kindai.ac.jp
Hideaki UchiyamaNARA Institute of Science and TechnologyDirección de correo verificada de is.naist.jp
Shin'ichi KonomiKyushu UniversityDirección de correo verificada de artsci.kyushu-u.ac.jp
Li ChenFaculty of Information Science and Electrical Engineering, Kyushu UniversityDirección de correo verificada de mark-lab.net
Takayoshi YamashitaChubu UniversityDirección de correo verificada de isc.chubu.ac.jp
Kojima KentaroAssociate Professor, Faculty of Arts and Science, Kyushu UniversityDirección de correo verificada de artsci.kyushu-u.ac.jp
Kousuke MouriAssociate prof. at Hiroshima City UniversityDirección de correo verificada de hiroshima-cu.ac.jp
Yoshiko Goda, Ph.D.Professor, Graduate School for Instructional Systems, Kumamoto UniversityDirección de correo verificada de kumamoto-u.ac.jp
Xing Xu （徐行）University of Electronic Science and Technology of ChinaDirección de correo verificada de uestc.edu.cn
Jingyun WangAssistant professor, durham universtiyDirección de correo verificada de durham.ac.uk
Daiki SuehiroFaculty of Information Science and Electrical Engineering, Kyushu UniversityDirección de correo verificada de ait.kyushu-u.ac.jp

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Atsushi Shimada

Professor of Kyushu University

Dirección de correo verificada de ait.kyushu-u.ac.jp - Página principal

Pattern Recognition Learning Analytics Educational Data Mining EdTech Background Modeling


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A neural network approach for students' performance prediction F Okubo, T Yamashita, A Shimada, H Ogata Proceedings of the seventh international learning analytics & knowledge …, 2017	254	2017
E-Book-based learning analytics in university education H Ogata, YIN Chengjiu, OI Misato, F Okubo, A Shimada, K Kojima, ... International Conference on Computers in Education, 2015	222	2015
Dynamic control of adaptive mixture-of-Gaussians background model A Shimada, D Arita, R Taniguchi 2006 IEEE international conference on video and signal based surveillance, 5-5, 2006	132	2006
Transcut: Transparent object segmentation from a light-field image Y Xu, H Nagahara, A Shimada, R Taniguchi Proceedings of the IEEE International Conference on Computer Vision, 3442-3450, 2015	128	2015
Light field distortion feature for transparent object recognition K Maeno, H Nagahara, A Shimada, R Taniguchi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	121	2013
Putting learning back into learning analytics: Actions for policy makers, researchers, and practitioners D Ifenthaler, D Gibson, D Prasse, A Shimada, M Yamada Educational Technology Research and Development 69, 2131-2150, 2021	113	2021
Learning analytics for e-book-based educational big data in higher education H Ogata, M Oi, K Mohri, F Okubo, A Shimada, M Yamada, J Wang, ... Smart sensors at the IoT frontier, 327-350, 2017	105	2017
Learning analytics of the relationships among self-regulated learning, learning behaviors, and learning performance M Yamada, A Shimada, F Okubo, M Oi, K Kojima, H Ogata Research and Practice in Technology Enhanced Learning 12, 1-17, 2017	98	2017
Real-time learning analytics for C programming language courses X Fu, A Shimada, H Ogata, Y Taniguchi, D Suehiro Proceedings of the seventh international learning analytics & knowledge …, 2017	94	2017
Evaluating indoor positioning systems in a shopping mall: The lessons learned from the IPIN 2018 competition V Renaudin, M Ortiz, J Perul, J Torres-Sospedra, AR Jiménez, ... IEEE Access 7, 148594-148628, 2019	93	2019
An easy-to-setup 3D phenotyping platform for KOMATSUNA dataset H Uchiyama, S Sakurai, M Mishima, D Arita, T Okayasu, A Shimada, ... Proceedings of the IEEE international conference on computer vision …, 2017	92	2017
Indoor positioning system based on chest-mounted IMU C Lu, H Uchiyama, D Thomas, A Shimada, R Taniguchi Sensors 19 (2), 420, 2019	80	2019
Direction of collaborative problem solving-based STEM learning by learning analytics approach L Chen, N Yoshimatsu, Y Goda, F Okubo, Y Taniguchi, M Oi, S Konomi, ... Research and Practice in Technology Enhanced Learning 14, 1-28, 2019	76	2019
Evaluation report of integrated background modeling based on spatio-temporal features Y Nonaka, A Shimada, H Nagahara, R Taniguchi 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012	70	2012
Exploring the relationships between reading behavior patterns and learning outcomes based on log data from e-books: A human factor approach C Yin, M Yamada, M Oi, A Shimada, F Okubo, K Kojima, H Ogata International Journal of Human–Computer Interaction 35 (4-5), 313-322, 2019	68	2019
Automatic summarization of lecture slides for enhanced student previewtechnical report and user study A Shimada, F Okubo, C Yin, H Ogata IEEE Transactions on Learning Technologies 11 (2), 165-178, 2017	67	2017
Analytics of deep neural network-based background subtraction T Minematsu, A Shimada, H Uchiyama, R Taniguchi Journal of Imaging 4 (6), 78, 2018	64	2018
The IPIN 2019 indoor localisation competition—Description and results F Potorti, S Park, A Crivello, F Palumbo, M Girolami, P Barsocchi, S Lee, ... IEEE access 8, 206674-206718, 2020	61	2020
Learning unified binary codes for cross-modal retrieval via latent semantic hashing X Xu, L He, A Shimada, R Taniguchi, H Lu Neurocomputing 213, 191-203, 2016	61	2016
A fast algorithm for adaptive background model construction using parzen density estimation T Tanaka, A Shimada, D Arita, R Taniguchi 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 528-533, 2007	59	2007

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