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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS | 2025-04-11 10:45 |
Kagoshima | Ama Home PLAZA + Online (Primary: On-site, Secondary: Online) |
A Study on the Application of Particle Swarm Optimization to Optimizers in Artificial Neural Networks Utsumi Furuya, Takuya Shindo, Nobuhiko Itoh (NIT) |
(To be available after the conference date) [more] | |
| LOIS | 2025-03-18 17:05 |
Okinawa | Miyakojima-Shi Chuo-Komin-Kan | A Study on Price Prediction of Farmed Yellowtail Using Machine Learning Methods Hirofumi Miyajima, Daiki Togawa, Kazuki Fukae, Mitsuru Hattori (Nagasaki Univ.), Hideyuki Takahashi (Tohoku Gakuin Univ.), Tetsuo Imai, Kenichi Arai, Toru Kobayashi (Nagasaki Univ.)  LOIS2024-80 |
In the aquaculture industry, research on smart aquaculture, in which necessary tasks are fully automated by machines, is... [more] | LOIS2024-80 pp.50-55 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 09:45 |
Shiga | (Primary: On-site, Secondary: Online) |
Neural Real-Time RGB-D SLAM in Dynamic Environments Qinyuan Zhou, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2024-57 |
Neural Simultaneous Localization and Mapping (SLAM) is a fundamental task in computer vision and robotics, enabling appl... [more] | PRMU2024-57 pp.64-69 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 11:30 |
Shiga | (Primary: On-site, Secondary: Online) |
IBISML2024-66 |
Graph neural networks (GNNs) are considered highly useful in a wide range of application domains involving graph-structu... [more] | IBISML2024-66 pp.63-70 |
| PRMU, IPSJ-CVIM, IBISML | 2025-03-19 15:25 |
Shiga | (Primary: On-site, Secondary: Online) |
Ayato Fujibayashi, Minoru Mori (KAIT) PRMU2024-62 |
(To be available after the conference date) [more] | PRMU2024-62 pp.94-99 |
| CCS | 2025-03-19 09:00 |
Hokkaido | RUSUTSU RESORT | An Optimization Method for High-Dimensional Functions Based on Dimensional Decomposition by Graph Neural Networks Keito Sei, Hidehiro Nakano, Tomoyuki Sasaki (TCU) CCS2024-69 |
In various optimization problems such as system design, metaheuristics are commonly used to obtain approximate solutions... [more] | CCS2024-69 pp.81-86 |
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | Hierarchical lossless coding of RGB color images based on color difference prediction using CNN predictors Shuichi Tajima, Yoshiki Nimi, Seiya Kushi (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) MSS2024-79 NLP2024-120 |
We are researching a hierarchical lossless coding method for RGB color images that uses a cellular neural network to pre... [more] | MSS2024-79 NLP2024-120 pp.64-68 |
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | Hierarchical Lossless Compression of Bayer RAW Images Using Predictors Based on Cellular Neural Networks Ryota Ogawa, Shuichi Tajima, Seiya Kushi (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) MSS2024-80 NLP2024-121 |
Digital cameras generally have image sensors with a Bayer-pattern color filter array. The RAW images captured by these i... [more] | MSS2024-80 NLP2024-121 pp.69-73 |
| NLP, MSS | 2025-03-13 16:45 |
Okinawa | Miyakojima City Central Community Center | GPU Extension of Sigma Delta Cellular Neural Networks Mayu Mitani (Chukyo Univ.), Fumitoshi Nakashima (Mitsubishi Electric), Hideharu Toda (Tohoku Bunka Gakuen Unv.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) MSS2024-81 NLP2024-122 |
The sigma-delta cellular neural network (SD-CNN) is an artificial vision system inspired by biological neural circuits.T... [more] | MSS2024-81 NLP2024-122 pp.74-77 |
| NLP, MSS | 2025-03-14 15:15 |
Okinawa | Miyakojima City Central Community Center | New Possibilities for Associative Memory in Neural Networks: Verification Using a Large-Scale Model of the Saito-Jinno Learning Method Kenya Jin'no (Tokyo City Univ.) MSS2024-106 NLP2024-147 |
The Saito-Jin'no learning method is a learning method aimed at improving the performance of associative memory in neural... [more] | MSS2024-106 NLP2024-147 pp.199-202 |
| ICSS, IPSJ-SPT | 2025-03-07 16:25 |
Okinawa | Okinawa Prefectural Museum & Art Museum | Performance Comparison of Machine Learning Models for Output Prediction Attacks and Their Interpretability Hayato Watanabe (Tokai Univ/NICT), Ryoma Ito (NICT), Toshihiro Ohigashi (Tokai Univ/NICT) ICSS2024-121 |
Watanabe et al. applied neural network (NN)-based output prediction attacks using LSTM, proposed by Kimura et al., to SI... [more] | ICSS2024-121 pp.407-414 |
| EMM | 2025-03-05 15:45 |
Okinawa | Okinawaken Seinenkaikan | [Invited Talk]
Towards the realization of deepfake speech detection techniques: From acoustic features related to auditory perception to deep neural networks Masashi Unoki (JAIST) EMM2024-131 |
Skillfully fabricated artificial replicas of authentic media using advanced AI-based generators are known as ``deepfakes... [more] | EMM2024-131 pp.78-79 |
| HWS, ICD, VLD | 2025-03-06 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
An efficient LSI implementation of popcount for convolution operations in binarized neural networks Reiji Kikuchi, Kazuhito Ito (Saitama Univ.) VLD2024-114 HWS2024-85 ICD2024-105 |
In binarized neural networks (NN), signals and weights take only two values {+1, -1}, and when expressed as binary logic... [more] | VLD2024-114 HWS2024-85 ICD2024-105 pp.66-71 |
| HWS, ICD, VLD | 2025-03-06 12:05 |
Okinawa | (Primary: On-site, Secondary: Online) |
An implementation of convolution and pooling operations in binarized neural networks on register-bridge architecture LSI Yuichiro Iwai, Kazuhito Ito (Saitama Univ.) VLD2024-115 HWS2024-86 ICD2024-106 |
In binarized neural networks (BNNs), signals and weights are simplified to two values {+1, -1}, and they are attracting ... [more] | VLD2024-115 HWS2024-86 ICD2024-106 pp.72-77 |
| MVE, CQ, IMQ, IE (Joint) [detail] |
2025-03-07 15:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Causality-based evaluation structures visualization of review data using Graph Neural Networks Takeru Azuma (Kwansei Gakuin Univ.), Sho Hashimoto (Seinan Gakuin Univ.), Masashi Sugimoto (Hannan Univ.), Noriko Nagata (Kwansei Gakuin Univ.) IMQ2024-88 IE2024-166 MVE2024-105 |
We propose a method to visualize evaluation structures from review data using a graph neural network-based model. The pr... [more] | IMQ2024-88 IE2024-166 MVE2024-105 pp.413-418 |
| NC, MBE (Joint) |
2025-03-06 15:40 |
Tokyo | (Primary: On-site, Secondary: Online) |
Brain-mediated transfer learning provides more brain-like information representations for higher-performing deep neural networks Haruki Takeshima (Osaka Univ.), Kiichi Kawahata (Osaka Univ), Antoine Blanc (NICT), Shinji Nishimoto (Osaka Univ.), Satoshi Nishida (NICT) NC2024-76 |
Although deep neural networks (DNNs) have shown remarkable technological advancements, there are non-negligible differen... [more] | NC2024-76 pp.83-84 |
| NC, MBE (Joint) |
2025-03-07 13:35 |
Tokyo | (Primary: On-site, Secondary: Online) |
Glass-Box Deep Learning Models with Both Flexibility and Explainability Atsushi Koike (Tohoku Univ.) NC2024-86 |
When applying machine learning to sensitive decision-making tasks such as evaluating individuals, it is desirable for th... [more] | NC2024-86 pp.127-132 |
| PN | 2025-03-04 15:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Maximum Flow Learning with GNNs and Its Application to Optical Network Control Yusuke Iida, Shunya Shimoi, Hayato Yuasa (Nagoya Univ.), Yojiro Mori (Toyota Tech. Inst.), Hiroshi Hasegawa (Nagoya Univ.) PN2024-86 |
Recent development of machine-learning (ML)-based routing and wavelength assignment (RWA) algorithms have garnered signi... [more] | PN2024-86 pp.155-159 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2025-03-02 09:50 |
Okinawa | Acoustic Wave Propagation Simulation based on Wave Equation-based Neural Networks Shota Okubo, Toshiharu Horiuchi (KDDI Research, Inc.) EA2024-79 SIP2024-114 SP2024-20 |
With advancements in computational resources, numerical simulations of sound fields, including the audible frequency ran... [more] | EA2024-79 SIP2024-114 SP2024-20 pp.13-18 |
|
| EA, SIP, SP, IPSJ-SLP [detail] | 2025-03-02 11:20 |
Okinawa | Speaker Verification Based on Deformable Convolutional Networks Keiya Sato, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (NITech) EA2024-83 SIP2024-118 SP2024-24 |
In speaker verification using Deep Neural Networks, the interdependencies between frames of input features are learned ... [more] |
EA2024-83 SIP2024-118 SP2024-24 pp.40-45 |
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