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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2024-03-12 14:45 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Investigating the Effect of Skip Connection on Learning Dynamics in the Initial Learning Process of Deep Neural Networks Ryodo Yuge, Takashi Shinozaki (Kindai Univ.)  NC2023-59 |
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] | NC2023-59 p.94 |
| NC, MBE (Joint) |
2024-03-11 11:40 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Basic Consideration for the Effect of Gait Data Measured by a Simple Accelerometer on the Performance of Frailty Symptom Classifiers Takumi Chino (Shinshu Grad school), Mizue Kayama (Shinshu Univ.), Masaki Tachibana (Shinshu Grad school), Taishi Wakitani, Nobuyuki Tachi (Shinshu Univ.), Takashi Nagai (Inst of Tech) MBE2023-71 |
The purpose of this study is to explore the possibility of preventing frailty symptoms through gait characteristics comp... [more] | MBE2023-71 pp.13-18 |
| SS | 2024-03-07 17:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
For evaluating the effectiveness of CodeT5 transfer learning in refactoring recommendations. Yuto Nakajima, Kenji Fujiwara (Tokyo City University) SS2023-62 |
Refactoring is "the process of restructuring the internal architecture of software to make it easier to understand and m... [more] | SS2023-62 pp.79-84 |
| MI | 2024-03-03 16:54 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain generalization with WSI feature Yuki Shigeyasu (Kyushu Univ.), Shota Harada (Hiroshima City Univ.), Mariyo Kurata, Kazuhiro Terada, Naoki Nakazima (Kyoto Univ.), Akihiko Yoshizawa (Nara Medical Univ.), Hiroyuki Abe, Tetsuo Ushiku (Tokyo Univ.), Ryoma Bise (Kyushu Univ.) MI2023-58 |
In this study, we propose a domain generalization method for pathological images (WSI). Domain shifts in pathological im... [more] | MI2023-58 pp.81-84 |
| MI | 2024-03-04 09:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Distance-informed adversarial learning for metal artifact reduction Daisuke Shigemori, Megumi Nakao (Kyoto Univ.) MI2023-62 |
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] | MI2023-62 pp.95-98 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 15:54 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Conversion Prediction in Internet Advertising Using the Law of Diminishing Marginal Utility Keiya Unno (Waseda Univ.), Daichi Iwata, Hiroaki Tanaka (OPT), Masato Uchida (Waseda Univ.) PRMU2023-80 |
The importance of Internet advertising in marketing is increasing every year. An advertising agency is using machine lea... [more] | PRMU2023-80 pp.168-173 |
| ET | 2024-03-03 10:00 |
Miyazaki | Miyazaki University | Alleviating Persistence in Learning Strategies with a Model of Empathy for Others' Learning Experience
-- Designing Interaction Scenario with a Social Robot -- So Sasaki, Akihiro Kashihara (UEC) ET2023-64 |
Effective learning requires learners to properly use learning strategies according to learning phases. However, it is no... [more] | ET2023-64 pp.69-76 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multi-task learning with age information model for highly accurate elderly speech recognition. Shine Takumi, Kinouchi Takahiro, Wakabayashi Yukoh, Kitaoka Norihide (TUT) EA2023-64 SIP2023-111 SP2023-46 |
The speech recognition of the elderly is less accurate, especially in smart speaker speech recognition, due to aging-rel... [more] | EA2023-64 SIP2023-111 SP2023-46 pp.19-24 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 17:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
An Enhanced Privacy-Preserving Scheme for Federated Learning of Vision Transformer without Model Performance Degradation Rei Aso, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2023-80 SIP2023-127 SP2023-62 |
Federated learning is a learning method for training models over multiple participants without directly sharing their ra... [more] | EA2023-80 SIP2023-127 SP2023-62 pp.115-120 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 15:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Byzantine attack detection via similarity of local updates in federated learning Kenta Ohno, Masao Yamagishi (Hosei Univ.) EA2023-86 SIP2023-133 SP2023-68 |
We propose a method to detect Byzantine attacks in federated learning, as well as a method for identifying clients repea... [more] | EA2023-86 SIP2023-133 SP2023-68 pp.150-155 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Improving training recipe of Remixed2Remixed for speech enhancement Li Li, Shogo Seki (CyberAgent) EA2023-95 SIP2023-142 SP2023-77 |
In the use of deep learning for speech enhancement, supervised learning models that use pairs of clean speech and artifi... [more] | EA2023-95 SIP2023-142 SP2023-77 pp.202-207 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:10 |
Fukuoka | Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] | SeMI2023-75 pp.25-30 |
|
| NS, IN (Joint) |
2024-02-29 11:35 |
Okinawa | Okinawa Convention Center | Real-time Application Identification Scheme and Evaluation Method Using Machine Learning Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) NS2023-189 |
With the diversification of mobile applications, the implementation of priority control that meets the communication req... [more] | NS2023-189 pp.103-108 |
| NS, IN (Joint) |
2024-02-29 09:20 |
Okinawa | Okinawa Convention Center | Intrusion Detection System Based on Federated Decision Trees Naoto Watanabe, Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. Tech.), Masataka Nakahara, Norihiro Okui, Ayumu Kubota (KDDI Research) NS2023-190 |
With the proliferation of Internet of things (IoT) devices, cyberattacks targeting these devices have also been increasi... [more] | NS2023-190 pp.109-112 |
| NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa | Okinawa Convention Center | Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] | IN2023-87 pp.130-135 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-19 11:00 |
Hokkaido | Hokkaido Univ. | Improving Adversarial Robustness in Continual Learning Koki Mukai, Soichiro Kumano (UTokyo), Nicolas Michel (UGE/CNRS/LIGM), Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2023-48 IE2023-37 |
The goal of continual learning is to prevent catastrophic forgetting. However, few studies have simultaneously considere... [more] | ITS2023-48 IE2023-37 pp.13-18 |
| AP | 2024-02-16 15:00 |
Mie | Sinfonia Technology Hibiki Hall Ise (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Propagation loss prediction method by machine learning and ray-tracing for indoor environments Takayuki Nakanishi, Kenya Shimizu (MELCO), Kenzaburo Hitomi (MEE), Yasuhiro Nishioka, Yoshio Inasawa (MELCO) AP2023-197 |
Radio propagation estimation is important for improving the stability and reliability of wireless communications. Howeve... [more] | AP2023-197 pp.50-55 |
| UWT (2nd) |
2024-01-29 16:40 |
Tokyo | Tokai University Shinagawa Campus (Primary: On-site, Secondary: Online) |
Estimation of the modulation method ratio for time-domain hybrid PAM signals using machine learning Ayumu Kariya, Fumiya Kobori, Keita Tanaka, Takahiro Kodama (Kagawa Univ.) |
We propose a transmission capacity estimation method for time-domain hybrid PAM schemes with variable transmission capac... [more] | |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 10:03 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] | PRMU2023-40 pp.7-12 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 14:40 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Efficient exploration with intrinsic motivation considering state transitions in deep reinforcement learning Kaito Ohshika, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2023-42 |
In deep reinforcement learning, learning data is collected through the interaction between the agent and the environment... [more] | PRMU2023-42 pp.14-19 |
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