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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2024-12-20 09:40 |
Hokkaido | Lecture room 1, Graduate School of Environmental Science (Primary: On-site, Secondary: Online) |
Q-Learning with Prior Knowledge Takahisa Imagawa, Shuichi Enokida (KIT) |
(To be available after the conference date) [more] | |
| SIS | 2024-12-05 11:40 |
Osaka | Osaka Electro-Communication University (Primary: On-site, Secondary: Online) |
Learning Region-specific Features and Matching Distributions Across Regions in Geographical Domain Adaptation Takashi Horihata, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.)  SIS2024-34 |
Domain adaptation in image recognition has been widely studied as a technique to maintain high accuracy on images with d... [more] | SIS2024-34 pp.19-24 |
| EMT, IEE-EMT | 2024-11-26 15:55 |
Shizuoka | Shizuoka Convestion & Arts Center | On applying transfer learning into the neural network method for electromagnetic analysis Kazuhiro Fujita (Saitama IT) EMT2024-61 |
The author has been working on the development of the neural network methods for electromagnetic analysis. In this repor... [more] | EMT2024-61 pp.13-16 |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center | [Poster Presentation]
UAV Assisted Sensor Power Supply System using DQN Shouta Sogawa, Kimura Tomotaka, Jun Cheng (Doshisha Univ.), Hiraguri Takefumi (NIT) |
In recent years, sensor power systems using UAVs (Unmanned Aerial Vehicles) to wirelessly power multiple sensors have at... [more] | |
| NS | 2024-10-10 16:05 |
Tokushima | Tokushima University + Online (Primary: On-site, Secondary: Online) |
Indoor Localization Using Router-to-Router RSSI and Transfer Learning for Dynamic Environments Liuyi Yang, Patrick Finnerty, Chikara Ohta (Kobe Univ.) NS2024-109 |
With the increasing demand for indoor localization, received signal strength indicator (RSSI)-based fingerprint localiza... [more] | NS2024-109 pp.103-108 |
| SIP | 2024-08-27 13:55 |
Fukui | University of Fukui (Bunkyo Campus) (Primary: On-site, Secondary: Online) |
Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer Ryo Hagiwara, Shunta Arai, Satoshi Takabe (Tokyo Tech) SIP2024-59 |
This paper proposes transfer learning for a trainable sampling-based COP solver applying deep learning technique called ... [more] | SIP2024-59 pp.69-74 |
| KBSE, SS, IPSJ-SE [detail] | 2024-07-25 14:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Privacy protection of training datasets in CNN transfer learning models Takumi Katsuie, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2024-1 KBSE2024-7 |
Transfer learning, one of the machine learning methods, has attracted attention as a technique that can create highly ac... [more] | SS2024-1 KBSE2024-7 pp.1-6 |
| RCS | 2024-06-21 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
RCS2024-77 |
In the realm of wireless sensing, there is a growing trend towards non-invasive and readily deployable passive sensing t... [more] | RCS2024-77 pp.287-292 |
| EE | 2024-03-11 09:15 |
Tokyo | (Primary: On-site, Secondary: Online) |
Design Method for Load-Independent WPT Systems Using Machine Learning Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) EE2023-58 |
This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning. ... [more] |
EE2023-58 pp.6-11 |
| NS, IN (Joint) |
2024-02-29 10:45 |
Okinawa | Okinawa Convention Center | Proposal of a Data Leakage Attack against a Vertical Federated Learning System based on Knowledge Distillation Takumi Suimon, Yuki Koizumi, Junji Takemasa, Toru Hasegawa (Osaka Univ.) NS2023-187 |
Vertical federated learning is a method for participants who have data with the same samples but different features to c... [more] | NS2023-187 pp.90-95 |
| DE, IPSJ-DBS | 2023-12-26 14:20 |
Tokyo | Institute of Industrial Science, The University of Tokyo | A study on selective reuse of local policies in transfer learning agents Hiroya Hamada, Fumiaki Saitoh (CIT) DE2023-29 |
In recent years, reinforcement learning has gained attention for its application in acquiring AI behaviors. One challeng... [more] | DE2023-29 pp.7-11 |
| IBISML | 2023-12-21 11:20 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Classification Error Analysis under Covariate Shift between Non-absolutely Continuous Distributions through neighbor-transfer-exponent Mitsuhiro Fujikawa, Youhei Akimoto (Univ. of Tsukuba), Jun Sakuma (Tokyo Inst. of Tech.), Kazuto Fukuchi (Univ. of Tsukuba) IBISML2023-39 |
Transfer learning is considered successful when increasing the source sample size decreases the target sample size neede... [more] | IBISML2023-39 pp.58-65 |
| SIS | 2023-12-07 14:40 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Transfer Learning-Based Detection of Swallowing Sounds and its Application for Swallowing Measurement Reoto Nishijima, Ryoichi Miyazaki (NITTC) SIS2023-29 |
Dysphagia is a problem with the act of swallowing food or drink. Dysphagia can cause aspiration, in which food or drink ... [more] | SIS2023-29 pp.31-36 |
| SP, NLC, IPSJ-SLP, IPSJ-NL [detail] | 2023-12-03 11:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Self-supervised learning model based emotion transfer and intensity control technology for expressive speech synthesis Wei Li, Nobuaki Minematsu, Daisuke Saito (Univ. of Tokyo) NLC2023-21 SP2023-41 |
Emotion transfer techniques, which transfersba the speaking style from the reference speech to the target speech, are wi... [more] | NLC2023-21 SP2023-41 pp.43-48 |
| 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 |
| SR | 2023-11-10 10:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Short Paper]
On Model Transfer with Deep Joint Source Channel Coding Katsuya Suto, Issa Matsumura, Junichiro Yamada (UEC) SR2023-58 |
Based on the source channel separation theorem, the current multimedia transfer system employs independently designed so... [more] | SR2023-58 pp.61-63 |
| RCS, SAT (Joint) |
2023-08-31 10:55 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
A study on source data and decoder of multitask CSI feedback method in FDD Massive MIMO Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ.) RCS2023-102 |
In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems, it is necessary to obtain down... [more] | RCS2023-102 pp.5-8 |
| CQ, MIKA (Joint) |
2023-08-31 16:20 |
Fukushima | Tenjin-Misaki Sports Park | Enhancing Communication Efficiency for UAV Networks through Knowledge Distillation and Transfer Learning in Federated Learning Yalong Li, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2023-30 |
Federated learning (FL) in unmanned aerial vehicles (UAVs) networks demands considerable communication resources to tran... [more] | CQ2023-30 pp.26-31 |
| MSS, CAS, SIP, VLD | 2023-07-06 10:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Autoencoder Based Incremental LSI Test Escape Detection Using Transfer Learning Ayano Takaya, Michihiro Shintani (KIT) CAS2023-4 VLD2023-4 SIP2023-20 MSS2023-4 |
Machine-learning-based test escape detection is gaining attention as a novel approach for detecting faulty large-scale i... [more] | CAS2023-4 VLD2023-4 SIP2023-20 MSS2023-4 pp.16-21 |
| SC | 2023-06-03 10:35 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Understanding transfer learning for medical image classification. Dao Ngoc HOng, Paik Incheon (UoA) SC2023-9 |
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] | SC2023-9 pp.48-52 |
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