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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ISEC, IT, WBS | 2024-03-13 15:05 |
Osaka | Osaka Univ. (Suita Campus) | Efficient Replay Data Selection in Continual Federated Learning Model Yuto Kitano (Kobe Univ), Lihua Wang (NICT), Seiichi Ozawa (Kobe Univ)  IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78 |
In this study, we propose a continual federated learning that can continuously learn distributed data generated daily by... [more] | IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78 pp.135-141 |
| EMM | 2024-01-16 15:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Federated Learning with Enhanced Privacy Protection in AI Lihua Wang (NICT) EMM2023-83 |
Federated learning is a crucial methodology in artificial intelligence where multiple organizations collaborate to perfo... [more] | EMM2023-83 p.19 |
| ICM, NS, CQ, NV (Joint) |
2023-11-22 09:25 |
Ehime | Ehime Prefecture Gender Equality Center (Primary: On-site, Secondary: Online) |
A Study on Transfer of Decision Tree for Operation of Future Managed Networks Takaaki Moriya, Takashi Mukai, Manabu Nishio, Ai Tsunoda, Ken Kanishima (NTT) ICM2023-26 |
When we build a new managed network, we need knowledge to solve various failures that will be occurred in the network. H... [more] | ICM2023-26 pp.20-25 |
| MI, MICT | 2023-11-14 13:40 |
Fukuoka | Arrhythmia Classification From Electrocardiogram by Gradient Boosting and Physician's Diagnosis-based algorithm. Haruto Shirae, Nobuhiro Nishii, Hiroshi Morita (Okayama Univ.), Ken'ichi Morooka (Kumamoto Univ.) MICT2023-31 MI2023-24 |
Implantable cardiac electrical devices can record a variety of arrhythmic events, but the determination of supraventricu... [more] | MICT2023-31 MI2023-24 pp.25-28 |
|
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-15 12:50 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Study on Cache Decision Policies to Enhance QoE with Existence of Multiple Video and Audio Streams in ICN/CCN Keisuke Kobayashi, Toshiro Nunome (Nagoya Inst. of Tech) CQ2022-85 |
This paper considers video and audio transmission in ICN (Information-Centric Networking) / CCN (Content-Centric Network... [more] | CQ2022-85 pp.31-36 |
| ET | 2023-03-14 10:55 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
Intuitive Action Decision Support System Based on Game-tree Construction in Sports Yuji Otori, Tomoko Kojiri (Kansai Univ.) ET2022-66 |
To gain an advantage in a competitive individual sport, it is necessary to choose the most advantageous action among all... [more] | ET2022-66 pp.33-40 |
| LOIS | 2023-03-13 10:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Estimation method of difficulty of cases and proficiency of persons in charge of cases using amount of work until completion of each case Akinori Miyamoto, Susumu Ogata, Akira Karasudani (Fujitsu) LOIS2022-45 |
The automation of business using information technology is being developed. However, in business that cannot be fully au... [more] | LOIS2022-45 pp.5-10 |
| LOIS | 2023-03-13 16:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
Lifelog Data Analyses of SNS Users Based on Supervised Learning to Forecast the Number of Bookmarks of A Post Komei Arasawa, Shun Matsukawa, Nobuyuki Sugio, Naofumi Wada, Hiroki Matsuzaki (Hokkaido Univ. of Sci.) LOIS2022-56 |
It is an important issue to establish how to produce and transmit a post that triggers people's interest, in marketing a... [more] | LOIS2022-56 pp.72-76 |
| HWS, VLD | 2023-03-02 17:15 |
Okinawa | (Primary: On-site, Secondary: Online) |
Communication-Efficient Federated Learning with Gradient Boosting Decision Trees Kotaro Shimamura, Shinya Takamaeda (UTokyo) VLD2022-99 HWS2022-70 |
Federated learning (FL) is a machine learning method in which clients learn cooperatively without disclosing private dat... [more] | VLD2022-99 HWS2022-70 pp.137-142 |
| CQ, CBE (Joint) |
2023-01-26 11:00 |
Ibaraki | Epochal Tsukuba International Congress Center (Primary: On-site, Secondary: Online) |
A Study on Cache Decision Policies to Enhance QoE of Video and Audio Transmission in ICN/CCN Keisuke Kobayashi, Toshiro Nunome (Nagoya Inst. of Tech) CQ2022-63 |
This paper considers video and audio transmission in ICN (Information-Centric Networking) / CCN (Content-Centric Network... [more] | CQ2022-63 pp.11-16 |
| ICTSSL, CAS | 2023-01-26 15:20 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
A Packet Classification Method Fusing HyperCuts and Run-Based Tries Taiga Kobayashi, Kenji Mikawa (Maebashi Institute of Tech.) CAS2022-74 ICTSSL2022-38 |
In packet classification, filtering algorithms are required to have both fast filtering processing ability and flexible ... [more] | CAS2022-74 ICTSSL2022-38 pp.67-72 |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| IT | 2022-07-22 14:40 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27 |
Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] | IT2022-27 pp.61-66 |
| IT | 2022-07-22 15:05 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28 |
Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] | IT2022-28 pp.67-72 |
| KBSE, SWIM | 2022-05-20 14:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Generating LTL formulas with Trace Examples Kota Komatsu, Hiroki Horita (Ibaraki Univ.) KBSE2022-1 SWIM2022-1 |
In declarative process mining, a user can verify a desired property in a business process by providing an LTL formula wi... [more] | KBSE2022-1 SWIM2022-1 pp.1-6 |
| IT, ISEC, RCC, WBS | 2022-03-11 16:25 |
Online | Online | An Efficient Method for Constructing Garbled Circuits Using Linked Lists Guangjian Liu, Hikaru Morita (Graduate School of Kanagawa Univ) IT2021-131 ISEC2021-96 WBS2021-99 RCC2021-106 |
Since the proposal of the Garbled Circuit by Yao, a number of construction methods for secret circuits have been propose... [more] | IT2021-131 ISEC2021-96 WBS2021-99 RCC2021-106 pp.281-284 |
| SeMI | 2022-01-21 15:20 |
Nagano | (Primary: On-site, Secondary: Online) |
[Short Paper]
Asynchronous Gradient-Boosted Decision Trees for Distributed Sensing Devices Yui Yamashita, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-64 |
Recently, wearable devices that install multiple sensors have been widely used. Although sensor data from these devices ... [more] | SeMI2021-64 pp.45-47 |
| SIP, IT, RCS | 2021-01-22 09:50 |
Online | Online | Selection of Interference Cancellation Technique Using Decision Trees for Uplink Non-orthogonal Multiple Access
-- Evaluation of Communication Success Rate in A Mobile Environment -- Noriaki Yamamoto (Meiji Univ.), Masafumi Moriyama, Kenichi Takizawa (NICT), Tetsushi Ikegami (Meiji Univ.) IT2020-85 SIP2020-63 RCS2020-176 |
As IoT（Internet of Things）develops, wireless access techniques that can effectively accommodate massive number of device... [more] | IT2020-85 SIP2020-63 RCS2020-176 pp.119-124 |
| ITS, IEE-ITS | 2020-03-10 17:10 |
Shiga | Ritsumeikan Univ. (BKC) (Cancelled but technical report was issued) |
A study on autonomous driving on general roads by predicting the route of other vehicles based on lane information Yohei Ogawa, Yasushi Tauchi, Yoshiki Mizukami (Yamaguchi Univ) ITS2019-70 |
In this study, we aim to realize automatic driving on general roads with complicated surrounding conditions, and develop... [more] | ITS2019-70 pp.93-98 |
| HWS, VLD [detail] | 2020-03-06 10:30 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
A Consideration on Efficient Anomaly Detection Based on Isolation Forest Tsubasa Ikeda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (HCU) VLD2019-125 HWS2019-98 |
Isolation Forest is a method to detect anomalies by ensemble learning of binary decision trees. It traverses each decisi... [more] | VLD2019-125 HWS2019-98 pp.179-184 |
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