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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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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 |
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