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Y. Umeda
Y. Umeda
Verified email at fujitsu.com
Title
Cited by
Cited by
Year
Time series classification via topological data analysis
Y Umeda
Information and Media Technologies 12, 228-239, 2017
1772017
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
1692020
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
552020
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
472020
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
462021
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
242021
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
232019
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
222021
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
202021
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
162022
Method and apparatus for machine learning
Y Umeda
US Patent 10,635,975, 2020
142020
Matrix generation technique and plant control technique
Y Umeda, T Maruyama, H Anai
US Patent 8,909,503, 2014
132014
A general neural network architecture for persistence diagrams and graph classification
M Carriere, F Chazal, T Lacombe, M Royer
122019
Constant-mean-curvature surfaces with singularities in Minkowski 3-space
Y Umeda
Experimental Mathematics 18 (3), 311-323, 2009
112009
Method and apparatus for machine learning
Y Umeda
US Patent App. 15/334,405, 2017
102017
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
92016
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
72019
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
62019
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
62014
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
32022
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