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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 # |
IN, CCS (Joint) |
2022-08-04 13:10 |
Hokkaido |
Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Research on Content Selection Manner by Predicting Users' Interests Focusing on Acquired Web Similarity Takeshi Tsuchiya (Tokyo International Univ.), Rika Misawa, Ryuichi Mochizuki, Tetsuyasu Yamada, Hiroo Hirose (SUS) IN2022-15 |
This research proposes content selection methods using the characteristics of a user's most recent web content history t... [more] |
IN2022-15 pp.7-10 |
IN, IA (Joint) |
2021-12-17 09:50 |
Hiroshima |
Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
Research on Selective Combination by Similarity of Distributed MachineLearning Models Ryuichi Mochizuki, Misawa Rika, Takeshi Tsuchiya, Tetsuyasu Yamada, Hiroo Hirose (SUS) IN2021-20 |
[more] |
IN2021-20 pp.13-16 |
IN, NS (Joint) |
2021-03-04 09:10 |
Online |
Online |
Research on Information Platform Integrating Web Services for Smart Devices based on Fog Computing Model Takeshi Tsuchiya, Ryuichi Mochizuki, Tetsuyasu Yamada, Hiroo Hirose (Suwa University og Science), Norinobu Imamura, Naoki Yokouchi (BIP Systems) NS2020-123 |
[more] |
NS2020-123 pp.1-6 |
IN, NS (Joint) |
2021-03-05 11:00 |
Online |
Online |
A Model Selection Optimization Method for Distributed Machine Learning with Feature Model Combination Ryuichi Mochizuki, Takeshi Tsuchiya, Hiroo Hirose, Tetsuyasu Yamada (SUS) IN2020-83 |
This study clarifies the optimal feature model selection method in data analysis under the environment where the feature... [more] |
IN2020-83 pp.172-177 |
LOIS |
2020-03-12 10:40 |
Okinawa |
Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Research on Distributed Data Platform for Machine Learning by the Combining of Feature Model Takeshi Tsuchiya, Ryuichi Mochizuki, Hiroo Hirose, Tetsuyasu Yamada (SUS), Hiroaki Sawano (AIT), Keiichi Koyanagi (Waseda) LOIS2019-72 |
[more] |
LOIS2019-72 pp.91-96 |
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