| Perslay: A neural network layer for persistence diagrams and new graph topological signatures M Carrière, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda International Conference on Artificial Intelligence and Statistics, 2786-2796, 2020 | 198 | 2020 |
| Time series classification via topological data analysis Y Umeda Information and Media Technologies 12, 228-239, 2017 | 190 | 2017 |
| Optimizing persistent homology based functions M Carriere, F Chazal, M Glisse, Y Ike, H Kannan, Y Umeda International conference on machine learning, 1294-1303, 2021 | 62 | 2021 |
| Topological data analysis for arrhythmia detection through modular neural networks M Dindin, Y Umeda, F Chazal Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 57 | 2020 |
| DTM-based filtrations H Anai, F Chazal, M Glisse, Y Ike, H Inakoshi, R Tinarrage, Y Umeda Topological Data Analysis: The Abel Symposium 2018, 33-66, 2020 | 43 | 2020 |
| Topological data analysis (TDA) enhances bispectral EEG (BSEEG) algorithm for detection of delirium T Yamanashi, M Kajitani, M Iwata, KJ Crutchley, P Marra, JR Malicoat, ... Scientific reports 11 (1), 304, 2021 | 30 | 2021 |
| Topological uncertainty: Monitoring trained neural networks through persistence of activation graphs T Lacombe, Y Ike, M Carriere, F Chazal, M Glisse, Y Umeda arXiv preprint arXiv:2105.04404, 2021 | 27 | 2021 |
| Topological data analysis and its application to time-series data analysis Y Umeda, J Kaneko, H Kikuchi Fujitsu Scientific & Technical Journal 55 (2), 65-71, 2019 | 26 | 2019 |
| Evaluation of point-of-care thumb-size bispectral electroencephalography device to quantify delirium severity and predict mortality T Yamanashi, KJ Crutchley, NE Wahba, EJ Sullivan, M Kajitani, T Tran, ... The British Journal of Psychiatry 220 (6), 322-329, 2022 | 24 | 2022 |
| Atol: measure vectorization for automatic topologically-oriented learning M Royer, F Chazal, C Levrard, Y Umeda, Y Ike International Conference on Artificial Intelligence and Statistics, 1000-1008, 2021 | 23 | 2021 |
| DTM-based filtrations H Anai, F Chazal, M Glisse, Y Ike, H Inakoshi, R Tinarrage, Y Umeda SoCG 2019-35th International Symposium on Computational Geometry 129, 58: 1 …, 2019 | 18 | 2019 |
| Method and apparatus for machine learning Y Umeda US Patent 10,635,975, 2020 | 15 | 2020 |
| Matrix generation technique and plant control technique Y Umeda, T Maruyama, H Anai US Patent 8,909,503, 2014 | 13 | 2014 |
| A general neural network architecture for persistence diagrams and graph classification M Carriere, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda | 12 | 2019 |
| Constant-mean-curvature surfaces with singularities in Minkowski 3-space Y Umeda Experimental Mathematics 18 (3), 311-323, 2009 | 11 | 2009 |
| Method and apparatus for machine learning Y Umeda US Patent App. 15/334,405, 2017 | 10 | 2017 |
| Order quantity determination method, computer-readable medium, and information processing device Y Matsui, Y Umeda, K Matsumoto, H Anai, I Watanabe US Patent App. 14/743,125, 2016 | 9 | 2016 |
| Perslay: A simple and versatile neural network layer for persistence diagrams M Carriere, F Chazal, IS Datashape, Y Ike, T Lacombe, M Royer, ... stat 1050, 5, 2019 | 7 | 2019 |
| Perslay: A simple and versatile neural network layer for persistence diagrams. arxiv eprints M Carriere, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda arXiv preprint arXiv:1904.09378 3, 2019 | 6 | 2019 |
| A controller design for a diesel engine air-path system based on explicit mpc A Kojima, K Sawado, T Maruyama, H Anai, K Shimotani Transactions of the Society of Instrument and Control Engineers 50 (6), 445-454, 2014 | 6 | 2014 |
