| 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 | 291 | 2020 |
| Time series classification via topological data analysis Y Umeda Information and Media Technologies 12, 228-239, 2017 | 231 | 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 | 96 | 2021 |
| Topological data analysis for arrhythmia detection through modular neural networks M Dindin, Y Umeda, F Chazal Canadian Conference on Artificial Intelligence, 177-188, 2020 | 78 | 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 | 70 | 2020 |
| 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 | 42 | 2021 |
| 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 | 42 | 2021 |
| 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 | 36 | 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 | 34 | 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 | 31 | 2022 |
| A general neural network architecture for persistence diagrams and graph classification M Carriere, F Chazal, Y Ike, T Lacombe, M Royer, Y Umeda | 13 | 2019 |
| Constant-mean-curvature surfaces with singularities in Minkowski 3-space Y Umeda Experimental Mathematics 18 (3), 311-323, 2009 | 13 | 2009 |
| Fast and Multi-aspect Mining of Complex Time-stamped Event Streams K Nakamura, Y Matsubara, K Kawabata, Y Umeda, Y Wada, Y Sakurai Proceedings of the ACM Web Conference 2023, 1638-1649, 2023 | 12 | 2023 |
| Method and apparatus for machine learning Y UMEDA US Patent App. 15/334,405, 2017 | 12 | 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 | 12 | 2016 |
| Towards accurate quantum chemical calculations on noisy quantum computers N Iijima, S Imamura, M Morita, S Takemori, A Kasagi, Y Umeda, ... arXiv preprint arXiv:2311.09634, 2023 | 10 | 2023 |
| A controller design for a diesel engine air-path system based on explicit MPC A Kojima, K Sawado, T Maruyama, Y Umeda, H Anai, K Shimotani Transactions of the Society of Instrument and Control Engineers 50 (6), 445-454, 2014 | 9 | 2014 |
| Cost-sensitive self-training for optimizing non-decomposable metrics H Rangwani, S Takemori, K Takashi, Y Umeda Advances in Neural Information Processing Systems 35, 26994-27007, 2022 | 7 | 2022 |
| 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 |
| Quantum kernelized bandits Y Hikima, K Murao, S Takemori, Y Umeda The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | 6 | 2024 |
