| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
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 |
|
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 13:55 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
NC2023-2 IBISML2023-2 |
(To be available after the conference date) [more] | NC2023-2 IBISML2023-2 pp.9-16 |
| 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 |
| 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 |
| 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 | 2022-12-23 10:50 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Interpretable Deep Image Classifier with Class-distinguishable Concept Text Kazuhiro Saito, Kazuto Fukuchi (Univ.Tsukuba), Jun Sakuma (Univ.Tsukuba/RIKEN) IBISML2022-55 |
(To be available after the conference date) [more] | IBISML2022-55 pp.86-93 |
| 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 |
| IBISML | 2022-03-08 14:25 |
Online | Online | [Invited Talk]
--- Yuichi Yoshida (NII) IBISML2021-36 |
(To be available after the conference date) [more] | IBISML2021-36 p.29 |
| RECONF | 2021-06-08 14:10 |
Online | Online | RECONF2021-2 |
(To be available after the conference date) [more] | RECONF2021-2 pp.2-7 |
| RECONF | 2021-06-08 15:00 |
Online | Online | RECONF2021-4 |
(To be available after the conference date) [more] | RECONF2021-4 pp.14-19 |
| 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 |
| 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 |
| AI | 2020-02-14 14:00 |
Shimane | Izumo Campus, Shimane University | Estimation of Target Plasma Concentration of Propofol by Decision Tree Learning and Polynomial Modeling Kei Ten, Eisaka Toshio (Kitami Inst. of Tech.) AI2019-45 |
In total intravenous anesthesia surgery, an anesthetic administration system that adjusts the drug concentration in bloo... [more] | AI2019-45 pp.15-16 |
| AI | 2020-02-14 14:20 |
Shimane | Izumo Campus, Shimane University | Utilizing Job Stress Questionnaire data by Data Analysis Method Keiya Okada, Keisuke Onishi, Masahiro Akimoto (KKE.Inc) AI2019-46 |
We made it clear that utilizing Job Stress Questionnaire data by Data Analysis Method is effective to grasp the structur... [more] | AI2019-46 pp.17-22 |
[Return to Top Page]