| Curriculum analysis of CS departments based on CS2013 by simplified, supervised LDA T Sekiya, Y Matsuda, K Yamaguchi Proceedings of the Fifth International Conference on Learning Analytics And …, 2015 | 36 | 2015 |
| Analysis of computer science related curriculum on LDA and Isomap T Sekiya, Y Matsuda, K Yamaguchi Proceedings of the fifteenth annual conference on Innovation and technology …, 2010 | 25 | 2010 |
| Curriculum analysis of computer science departments by simplified, supervised LDA Y Matsuda, T Sekiya, K Yamaguchi Journal of Information Processing 26, 497-508, 2018 | 23 | 2018 |
| Improvement of difficulty estimation of personalized teaching material generator by JACET I Horie, K Yamaguchi, K Kashiwabara, Y Matsuda 2014 Information Technology Based Higher Education and Training (ITHET), 1-8, 2014 | 8 | 2014 |
| Development of a curriculum analysis tool T Sekiya, Y Matsuda, K Yamaguchi 2010 9th International Conference on Information Technology Based Higher …, 2010 | 8 | 2010 |
| Linear multilayer ICA generating hierarchical edge detectors Y Matsuda, K Yamaguchi Neural computation 19 (1), 218-230, 2007 | 8 | 2007 |
| An efficient MDS-based topographic mapping algorithm Y Matsuda, K Yamaguchi Neurocomputing 64, 285-299, 2005 | 8 | 2005 |
| An adaptive threshold in joint approximate diagonalization by assuming exponentially distributed errors Y Matsuda, K Yamaguchi Neurocomputing 74 (11), 1994-2001, 2011 | 7 | 2011 |
| A web-based curriculum engineering tool for investigating syllabi in topic space of standard computer science curricula T Sekiya, Y Matsuda, K Yamaguchi 2017 IEEE Frontiers in Education Conference (FIE), 1-9, 2017 | 6 | 2017 |
| Linear multilayer ica algorithm integrating small local modules Y Matsuda, K Yamaguchi Proceedings of ICA, 403-408, 2003 | 6 | 2003 |
| Global mapping analysis: stochastic approximation for multidimensional scaling Y Matsuda, K Yamaguchi International Journal of Neural Systems 11 (05), 419-426, 2001 | 6 | 2001 |
| Estimation of the success probability of random sampling by the gram-charlier approximation Y Matsuda, T Teruya, K Kasiwabara Cryptology ePrint Archive, 2018 | 5 | 2018 |
| Gram-schmidt orthonormalization to the adaptive ICA function for fixing the permutation ambiguity Y Matsuda, K Yamaguchi Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 5 | 2016 |
| A fixed-point algorithm of topographic ICA Y Matsuda, K Yamaguchi International Conference on Artificial Neural Networks, 587-594, 2006 | 5 | 2006 |
| Semi-invariant function of Jacobi algorithm in independent component analysis Y Matsuda, K Yamaguchi Neural networks, proceedings. IEEE international joint conference, 2004 | 5 | 2004 |
| The InfoMin criterion: an information theoretic unifying objective function for topographic mappings Y Matsuda, K Yamaguchi International Conference on Artificial Neural Networks, 401-408, 2003 | 5 | 2003 |
| Global mapping analysis: stochastic gradient algorithm in SSTRESS and classical MDS stress Y Matsuda ICONIP2001 Proceedings, Shanghai, China, 102-107, 2001 | 5 | 2001 |
| Investigation on university websites for semi-automated syllabus crawling T Sekiya, Y Matsuda, K Yamaguchi 2019 IEEE Frontiers in Education Conference (FIE), 1-7, 2019 | 4 | 2019 |
| Adaptive objective function of ICA by gaussian approximation in second-order polynomial feature space Y Matsuda, K Yamaguchi 2016 International Joint Conference on Neural Networks (IJCNN), 2382-2389, 2016 | 4 | 2016 |
| Mapping analysis of CS2013 by supervised LDA and isomap T Sekiya, Y Matsuda, K Yamaguchi 2014 IEEE International Conference on Teaching, Assessment and Learning for …, 2014 | 4 | 2014 |
