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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1072  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
14:50
Hokkaido RUSUTSU RESORT Dependence on Complexity of Nonlinear Functions for Augmented DFA Method in Deep Learning Based on Optoelectronic Delay System
Yuto Nagatsuka, Rin Nogami (Saitama Univ.), Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.), Atsushi Uchida, Kazutaka Kanno (Saitama Univ.) CCS2023-46
Increasing energy costs in deep learning have led to proposals for fast and efficient optical deep learning hardware. Th... [more] CCS2023-46
pp.42-47
WIT, IPSJ-AAC 2024-03-19
12:10
Ibaraki Tsukuba University of Technology
(Primary: On-site, Secondary: Online)
A Study on the Relationship Between the Linguistic Features of Sign Language and the Accuracy of Imitation -- Sign Language Imitation Experiment using Illustrations, Video, and HMD Learning Materials --
Tomoya Sato, Takeaki Shionome (Teikyo Univ.) WIT2023-54
In sign language learning using a head-mounted display (HMD), the hand-tracking function enables users to learn from a f... [more] WIT2023-54
pp.63-68
AP 2024-03-15
10:25
Fukui UNIVERSITY OF FUKUI
(Primary: On-site, Secondary: Online)
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system
Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] AP2023-212
pp.63-67
SIS 2024-03-14
15:10
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
Diagnosis Support System for Oral Mucosal Diseases Development Which Using Tendency of User's Select a Diseases Area
Taiyo Sato (NIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (KDU), Keiichi Horio (Kyutech), Nanto Ozaki (NIT) SIS2023-51
The Diagnosis Support System for Oral Mucosal Diseases is a system designed to assist dentists. The input to the system ... [more] SIS2023-51
pp.33-38
CAS, CS 2024-03-15
14:45
Okinawa   Exploring Uniform Convergence in Neural Networks and its Implication on Generalization Error
Zong Xianzhe, Hiroshi Tamura (CHUO Univ.) CAS2023-135 CS2023-128
Uniform Convergence, a well-established framework for evaluating generalization in traditional Machine Learning, frequen... [more] CAS2023-135 CS2023-128
pp.134-139
SIS 2024-03-15
10:40
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
A study of low-level Gaussian noise estimating by using machine learning
Takashi Suzuki (MicroTechnica), Tomoaki Kimura (Kanagawa institute of technology) SIS2023-57
In this study, we investigate a noise estimation method for low-level Gaussian noise with a standard deviation of less t... [more] SIS2023-57
pp.67-72
RCS, SR, SRW
(Joint)
2024-03-13
16:40
Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)
A Plug-and-Play Module for Enhancing Fault-Tolerant Distributed Inference Based on Gaussian Dropout
Hou Zhangcheng, Ohtsuki Tomoaki (KU) RCS2023-267
Distributed inference (DI) in the Internet of Things (IoT) is becoming increasingly important as the demand for AI appli... [more] RCS2023-267
pp.77-82
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
13:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
IMQ2023-87 IE2023-142 MVE2023-116 This paper introduces physics-inspired synthesized underwater image dataset (PHISWID).
Deep learning approaches to unde... [more]
IMQ2023-87 IE2023-142 MVE2023-116
pp.396-401
IA, SITE, IPSJ-IOT [detail] 2024-03-12
16:00
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
Improvement of Unknown Malicious Domain Detection Based on DNS Query History Analysis
Hiroto Yamada, Daiki Nobayashi, Takeshi Ikenaga (kyutech) SITE2023-83 IA2023-89
Network users are increasing and there is concern about the malware infection.
In some cases, malware-infected terminal... [more]
SITE2023-83 IA2023-89
pp.92-97
NC, MBE
(Joint)
2024-03-12
14:45
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Visualization of the learning process of ResNet revealing its learning dynamics
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
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