| Early detection of at-risk students using machine learning based on LMS log data N Kondo, M Okubo, T Hatanaka 2017 6th IIAI international congress on advanced applied informatics (IIAI …, 2017 | 71 | 2017 |
| Multi-objective structure selection for radial basis function networks based on genetic algorithm T Hatanaka, N Kondo, K Uosaki The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 2, 1095-1100, 2003 | 25 | 2003 |
| Search performance improvement for PSO in high dimensional space T Hatanaka, T Korenaga, N Kondo, K Uosaki Particle Swarm Optimization, 249-260, 2009 | 21 | 2009 |
| Nonlinear dynamic system identification based on multiobjectively selected RBF networks N Kondo, T Hatanaka, K Uosaki 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2007 | 19 | 2007 |
| Pattern classification by evolutionary RBF networks ensemble based on multi-objective optimization N Kondo, T Hatanaka, K Uosaki The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 15 | 2006 |
| Analysis of driver perceptions and behavior when driving in an unfamiliar traffic regulation H Nakayasu, T Miyoshi, N Kondo, H Aoki, P Patterson Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2011 | 11 | 2011 |
| Multi-objective structure selection for RBF networks and its application to nonlinear system identification T Hatanaka, N Kondo, K Uosaki Multi-Objective Machine Learning, 491-505, 2006 | 11 | 2006 |
| Estimation of students’ learning states using bayesian networks and log data of learning management system N Kondo, T Hatanaka International Journal of Institutional Research and Management 3 (2), 35-49, 2019 | 9 | 2019 |
| Modeling of learning process based on Bayesian networks N Kondo, T Hatanaka Educational technology research 41 (1), 57-67, 2019 | 9 | 2019 |
| Pareto RBF networks based on multiobjective evolutionary computation N Kondo, T Hatanaka, K Uosaki SICE 2004 Annual Conference 3, 2177-2182, 2004 | 9 | 2004 |
| Pattern classification via multi-objective evolutionary RBF networks ensemble N Kondo, T Hatanaka, K Uosaki 2006 SICE-ICASE International Joint Conference, 137-142, 2006 | 7 | 2006 |
| Modelling of Students’ Learning States Using Big Data of Students through the Baccalaureate Degree Program N Kondo, T Hatanaka Journal of Japanese Society for Information and Systems in Education 33 (2 …, 2016 | 6 | 2016 |
| RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization. N Kondo, T Hatanaka, K Uosaki J. Adv. Comput. Intell. Intell. Informatics 12 (3), 297-303, 2008 | 5 | 2008 |
| Nonlinear system modeling by hybrid genetic programming N Hashimoto, N Kondo, T Hatanaka, K Uosaki IFAC Proceedings Volumes 41 (2), 4606-4611, 2008 | 5 | 2008 |
| Factors Affecting University Students' At-home Learning during the COVID-19 Pandemic-Implications for a Student Support System T Matsuda, Y Watanabe, K Shigeta, N Kondo, H Kato International Journal for Educational Media and Technology 15 (1), 2021 | 4 | 2021 |
| Topology-based personal selection in multi-objective Particle Swarm Optimization T Korenaga, N Kondo, T Hatanaka, K Uosaki 2008 SICE Annual Conference, 3465-3469, 2008 | 4 | 2008 |
| Multiobjective evolutionary rbf networks and its application to ensemble learning N Kondo, T Hatanaka, K Uosaki Frontiers of Computational Science: Proceedings of the International …, 2007 | 3 | 2007 |
| An Approach for Academic Success Predictive Modeling based on a Multi-objective Genetic Algorithm N Kondo, T Matsuda, Y Hayashi, H Matsukawa, M Tsubakimoto, ... International Journal of Institutional Research and Management 5 (1), 31-49, 2021 | 2 | 2021 |
| Structure selection of RBF network using multi-objective genetic algorithm N Kondo, T Hatanaka, K Uosaki SICE Annual Conference Program and Abstracts SICE Annual Conference 2003, 42-42, 2003 | 2 | 2003 |
| Evaluation of Predictive Models in Institutional Research Based on Multi-Objective Optimization N Kondo, T Hatanaka, T Matsuda IIAI Letters on Institutional Research 1, 2022 | 1 | 2022 |
