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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS, IN
(Joint)
2023-08-03
10:33
Hokkaido Banya-no-yu A Study of Memory Reduction Methods for Hardware Implementation of Reservoir Computing
Sena Kojima, Koki Minagawa, Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-18
 [more] CCS2023-18
pp.7-12
CCS, IN
(Joint)
2023-08-03
10:51
Hokkaido Banya-no-yu Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network
Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models.
In th... [more]
CCS2023-19
pp.13-18
CCS 2023-03-26
10:35
Hokkaido RUSUTSU RESORT Acquisition of physical kinetics of machines by reservoir computing
Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] CCS2022-67
pp.25-30
CCS 2023-03-26
13:15
Hokkaido RUSUTSU RESORT Classification performance evaluation of untrained and trained data in Bayesian neural network and CNN ensemble
Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2022-71
The ditection of untrained (Out-of-Distribution; OOD) data is one of the problems in neural networks.
In this study, we... [more]
CCS2022-71
pp.48-53
 Results 1 - 4 of 4  /   
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