IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
(Primary: On-site, Secondary: Online)
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs
Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.) MI2023-68
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] MI2023-68
NS 2023-10-06
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy
Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104
In federated learning, where multiple data owners participate as clients to perform machine learning, each client shares... [more] NS2023-104
IBISML 2023-09-08 Osaka Osaka Metropolitan University (Nakamozu Campus)
(Primary: On-site, Secondary: Online)
Proposal of a Learning Time Reduction Algorithm in Machine Learning through Input Data Abstraction
Tsubasa Sakoda IBISML2023-27
In this research, I attempt to reduce the learning time of machine learning by using simple calculation such as averagin... [more] IBISML2023-27
ET 2023-03-14
Tokushima Tokushima University
(Primary: On-site, Secondary: Online)
Learning Support System to Understand Others Through Reading Dramatic Scripts and Its Initial Evaluation
Hanano Okamoto (Osaka Prefecture Univ.), Yuki Hayashi, Kazuhisa Seta (Osaka Metropolitan Univ.) ET2022-68
In order to form and maintain smooth interpersonal relationships in various situations in social life, the ability to ap... [more] ET2022-68
TL 2023-03-11
Online Online Emergent Inference in Grammatical Machineries -- Acquisition of Associative Knowledge into Deductive Systems --
Yasunari Harada (Waseda Univ.) TL2022-39
The essence of linguistic communication lies in "exchange of meanings" and "meaningful exchanges of messages." In recent... [more] TL2022-39
HCS 2023-03-03
Shizuoka Tokoha University(KusanagiCampus)
(Primary: On-site, Secondary: Online)
Study on the resilient role in coordinated behavior of a triad using deep reinforcement learning and rule-based modeling
Jun Ichikawa (Shizuoka Univ.), Kazushi Tsutsui, Keisuke Fujii (Nagoya Univ.) HCS2022-93
Group can often implement a task, which is difficult to do alone, or achieve higher performance than an individual. For ... [more] HCS2022-93
SIS 2023-03-02
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
An image watermarking method using adversarial perturbations
Sei Takano, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2022-43
The performance of convolutional neural networks (CNNs) has been dramatically improved in recent years, and they have at... [more] SIS2022-43
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Emergence of Agent Exemplary Behavior by Reinforcement Learning in Mobility Tasks
Yudai Harada, Yugo Takeuchi (Shizuoka Univ.)
Humans can show high adaptability in a short period of time to unknown tasks and environments they enter for the first t... [more]
ET 2022-11-05
Online Online Strategy-based Code Sharing Method in a Code Sharing Platform for Encouraging Refinement Activities
Shintaro Maeda, Kento Koike, Takahito Tomoto (Tokyo Polytechnic Univ.) ET2022-34
Refinement activities are important in learning programming to make codes better. To promote refinement activities, we h... [more] ET2022-34
Online Online VNF/CNF migration scheduling based on Encoder-Decoder RNN for cloud native platform
Takahiro Hirayama, Masahiro Jibiki, Takaya Miyazawa, Ved P. Kafle (NICT) IN2021-35
The 5th generation (5G) or beyond 5G (B5G) mobile networks are required to offer various kinds of services, such as enha... [more] IN2021-35
ET 2022-03-04
Online Online Development and Evaluation of an Intropunitive Thinking Support System Through Reflection Activity in Werewolf Game
Shota Ishii, Kento Koike, Takahito Tomoto (Tokyo Polytechnic Univ.) ET2021-73
For learning by myself in social situations, intropunitive thinking which seeks cause from oneself, is more effective th... [more] ET2021-73
Online Online Observational learning with an entorhinal-hippocampal spiking neural network encoding the position of self and other
Katsuya Chiguchi, Katsumi Tateno, Kensuke Takada (Kyutech) NC2021-72
This study proposes an entorhinal-hippocampal spiking neural network (SNN) encoding the position of self and other, and ... [more] NC2021-72
HCS, HIP, HI-SIGCOASTER [detail] 2019-05-16
Okinawa Okinawa Industry Support Center An experimental investigation on collaborative dyads' explanation activities using conceptual maps -- Analysis on learning performance based on understanding and the use of different perspectives --
Shigen Shimojo, Yugo Hayashi (Ritsumeikan Univ.) HCS2019-13 HIP2019-13
Studies in cognitive science have shown that collaborative learning based on different perspectives facilitates better i... [more] HCS2019-13 HIP2019-13
IA, SITE, IPSJ-IOT [detail] 2019-03-07
Tokushima Grand XIV Naruto On the possibility of learning the order relation of familial resemblance clusters based on Information theoretic scale -- What is mean by "Defining the rewards of Bayesian inverse reinforcement learning as family resenblence"? --
Tetsuya Morizumi (KU) SITE2018-76 IA2018-68
In this paper, we present an approach to incorporate the viewpoint of <mind> into an artificial intelligent system. To t... [more] SITE2018-76 IA2018-68
HCS 2019-02-02
Niigata Niigata Nippo Media Ship Dialects guide children's preference when they learn from others
Toshinori Kaneshige, Etsuko Haryu (Univ. Tokyo), Yuko Okumura, Tessei Kobayashi (NTT) HCS2018-61
We tested 3,4,5-year-old children in Tokyo and Okayama by asking from which of Tokyo-dialect and Okayama-dialect speaker... [more] HCS2018-61
PRMU 2018-12-14
Miyagi   Correcting Outputs of Ensemble LSTMs by CRF for Robust Activity Recognition
Haruka Abe, Yuta Hayakawa (Tokyo Tech), Takuya Hino, Motohide Sugihara, Hiroki Ikeya (KOMATSU), Masamichi Shimosaka (Tokyo Tech) PRMU2018-94
Recognizing the activities of the construction vehicle helps to assess the skill of the workers or give a technical guid... [more] PRMU2018-94
SITE 2018-12-06
Tokyo   What is the ethics of the inverse reinforcement learning system that circulates probability measure texts and deterministic texts
Tetsuya Morizumi (KU) SITE2018-62
In the Internet, the system is designed and operated by a logic viewpoint based on determinism.
If you design the syste... [more]
IE 2018-06-29
Okinawa   Single-image Rain Removal Using Residual Deep Learning
Takuro Matsui, Masaaki Ikehara, Takanori Fujisawa (Keio Univ.) IE2018-23
Most outdoor vision systems can be influenced by rainy weather conditions. In this paper, we address a rain removal prob... [more] IE2018-23
IMQ, HIP 2017-07-21
Hokkaido Satellite Campus, Sapporo City University The classification of natural scenes by color statistics
Masatoshi Kitaguchi, Masahiro Wakabayashi, Hiromichi Sato, Tomoyuki Naito (Osaka Univ.) IMQ2017-12 HIP2017-54
Little is known about the spatial and temporal color information structures in the scenes, which distinguish a scene fro... [more] IMQ2017-12 HIP2017-54
HCS 2017-01-28
Fukuoka Namiki Square Sensitivity to mistake of of register choice in 5- and 7-year-old children.
Ayaka Ikeda (Kyoto Univ), Tessei Kobayashi (NTT), Shoji Itakura (Kyoto Univ) HCS2016-81
We are required to behave appropriately to suit the situations where we are in. One of the behavioral controls is a sele... [more] HCS2016-81
 Results 1 - 20 of 33  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan