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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CCS | 2024-06-07 11:20 |
Fukuoka | West Japan General Exhibition Center AIM | Development of a processing hardware for a swarm intelligence algorithm based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) |
(To be available after the conference date) [more] | |
| DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2024-03-23 11:20 |
Nagasaki | Ikinoshima Hall (Primary: On-site, Secondary: Online) |
A Study of Multimodal AI to Complement Acts of Faith in Virtual Churches Taishi Nemoto, Takayuki Fujimoto (Toyo)  CPSY2023-51 DC2023-117 |
This research aims to combine AI and computer systems to enrich the experience of faith in virtual spaces. With real-tim... [more] | CPSY2023-51 DC2023-117 pp.77-81 |
| CAS, CS | 2024-03-14 09:30 |
Okinawa | Verification of PSS-PSO Parameters in IIR Filter Design Natsuka Yanagita, Kenji Suyama (Tokyo Denki Univ.) CAS2023-111 CS2023-104 |
PSS-PSO has been developed as a IIR filter design method with a high performance. PSS-PSO is a method to escape from loc... [more] | CAS2023-111 CS2023-104 pp.1-5 |
|
| 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 |
| AI | 2024-03-01 13:00 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | A Duplication-Free Pattern Formation Method Using Particle Swarm Optimization Kotaro Yamada, Toshiharu Sugawara (Waseda Univ.) AI2023-37 |
In this research, we apply swarm intelligence algorithms to the multi-agent pattern formation problem (MAPFP) and propos... [more] | AI2023-37 pp.1-6 |
| EID, ITE-IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] | 2024-01-25 14:15 |
Kyoto | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Comfort Intelligence for Autonomous Driving Taishi Sawabe (NAIST) EID2023-12 |
(To be available after the conference date) [more] | EID2023-12 pp.41-44 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 14:50 |
Tokushima | Naruto University of Education | Exercise Support System Using Biometric Sensors to Predict Heart Rate
-- Study of Optional Predicted Time -- Kaiji Owaki, Yusuke Kanda, Hideaki Kimura (Chubu Univ.) NLP2023-90 MICT2023-45 MBE2023-36 |
In recent years, Japan's birthrate has been declining and the population has been aging at an accelerating rate. The inc... [more] | NLP2023-90 MICT2023-45 MBE2023-36 pp.34-39 |
| SS, MSS | 2024-01-17 14:30 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator Ryoma Furuyama, Daiki Kuyoshi, Yamane Satoshi (Kanazawa Univ.) MSS2023-55 SS2023-34 |
Imitation learning is often used in addition to reinforcement learning in environments where reward design is difficult ... [more] | MSS2023-55 SS2023-34 pp.19-24 |
| DE, IPSJ-DBS | 2023-12-26 14:00 |
Tokyo | Institute of Industrial Science, The University of Tokyo | Interpretation of unsupervised clustering based on XAI Yu Sasaki, Fumiaki Saitoh (CIT) DE2023-28 |
Explainable Artificial Intelligence (XAI) aims to introduce transparency and interpretability into the decision-making o... [more] | DE2023-28 pp.1-6 |
| TL | 2023-12-23 17:30 |
Online | National Tsing Hua University（Taiwan） (Primary: Online, Secondary: On-site) |
Possible Improvements of Learner Essays through Effective Use of Assistive Writing Tools
-- Subjective Expert Evaluation of System Proposals for Revision -- Yasunari Harada (Waseda U.), Miwa Morishita (Kobe Gakuin U.), Kevin Tuan, Jason S. Chang (NTHU) TL2023-38 |
Development and wide-spread use of native and learner corpora in these two decades, tother with recent new and accelerat... [more] | TL2023-38 pp.41-46 |
| NC, MBE (Joint) |
2023-11-27 10:30 |
Osaka | Kindai Univ. (Primary: On-site, Secondary: Online) |
Improving the reproduction of animal intelligence using reinforcement learning with World Model Takumi Fukaya, Hirokazu Tanaka (Tokyo City Univ.) NC2023-34 |
One way to evaluate artificial intelligence models that reproduce animal intelligence is to have reinforcement learning ... [more] | NC2023-34 pp.6-9 |
| EMCJ | 2023-11-24 13:25 |
Tokyo | Kikai-Shinko-Kaikan (Primary: On-site, Secondary: Online) |
A Study on Explainability of Convolutional Neural Network Predicting Electric Characteristics of Automotive Wire Harness Based on Score Regression Activation Mapping (Score-RAM) Syumpei Ebina, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura (Shizuoka Univ.) EMCJ2023-74 |
In this report, we propose score regression activation mapping (Score-RAM) based on explainable artificial intelligence.... [more] | EMCJ2023-74 pp.13-18 |
| MSS, CAS, IPSJ-AL [detail] | 2023-11-16 14:55 |
Okinawa | A Study on Meta-Strategy Suitable for IIR Filter Design Natsuka Yanagita, Kenji Suyama (Tokyo Denki Univ.) CAS2023-66 MSS2023-36 |
We have studied to apply PSO for IIR filter design, where PSO is one of meta-strategy algorithms. In PSO, multiple parti... [more] | CAS2023-66 MSS2023-36 pp.32-36 |
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| MI, MICT | 2023-11-14 15:00 |
Fukuoka | Pre-training without natural images for Cystoscopic AI Diagnosis of Bladder Cancer Ryuunosuke Kounosu (AIST/Toho Univ.), Wonjik Kim (AIST), Atsushi Ikeda (Univ. of Tsukuba), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-34 MI2023-27 |
When developing AI models, it is sometimes difficult to collect sufficient training data. In these cases, pre-trained AI... [more] | MICT2023-34 MI2023-27 pp.37-40 |
|
| CCS | 2023-11-11 15:00 |
Toyama | Toyama Prefectural University | [Invited Talk]
Quantum-Annealing-Inspired Swarm-Intelligence-Like Simulated Annealing Algorithm Akio Yoshizawa (AIST) CCS2023-29 |
Quantum-inspired classical algorithms for combinatorial optimization have been attracting great attention recently. The ... [more] | CCS2023-29 pp.25-30 |
| CCS | 2023-11-12 10:25 |
Toyama | Toyama Prefectural University | Analysis of a simple network topology for optimizer based on spiking-neural oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2023-34 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are one of the deterministic PSO methods, which are based ... [more] | CCS2023-34 pp.53-57 |
| BioX | 2023-10-12 13:30 |
Okinawa | Nobumoto Ohama Memorial Hall | [Invited Talk]
Toward Artificial Intelligence Systems with Safety and Security
-- EU AI act and Biometric Identification Systems as Example -- Shizuo Sakamoto (NEC) BioX2023-57 |
In recent years, artificial intelligence (AI), especially machine learning, has undergone astonishing advancements, lead... [more] | BioX2023-57 p.1 |
| MIKA (3rd) |
2023-10-11 14:30 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Performance Evaluation of Swarm Intelligences Using Evaluation Space Construction Method for Flower Search Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) |
Bumblebees have been introduced to pollinate tomatoes in greenhouse cultivation to save labor. However, bee ac- tivity d... [more] | |
| NS | 2023-10-04 13:50 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Proposal of Evaluation Space Construction Method for Flower Search by Drones with Swarm Intelligences Daigo Hasegawa, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) NS2023-73 |
Bumblebees have been introduced to pollinate tomatoes in greenhouse cultivation to save labor. However, bee activity dec... [more] | NS2023-73 p.27 |
| AI | 2023-09-12 15:35 |
Hokkaido | Variational Autoencoder Oriented Protection for Intellectual Property Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2023-31 |
In recent years, generative AI, which generates images based on instructions in natural language, has developed rapidly ... [more] | AI2023-31 pp.180-186 |
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