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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EST, MW, EMCJ, IEE-EMC [detail] | 2024-10-17 09:00 |
Akita | Akita Art Village Onsen Yupopo (Primary: On-site, Secondary: Online) |
Integrating Circuits and Graph Neural Networks for Circuit Constants Optimization Yusuke Yamakaji (Mitsubishi Electric/Univ. of Electro-Communications), Hayaru Shouno (The University of Electro-Communications), Kunihiko Fukushima (Fuzzy Logic Systems Inst.) |
(To be available after the conference date) [more] | |
| NLP | 2024-09-05 13:50 |
Gifu | Takayama City Library | ECG anomaly detection based on time series forecasting using chaotic neural network reservoir Tatsuya Saito, Misa Fujita, Akito Ishihara (Chukyo Univ.)  NLP2024-45 |
(To be available after the conference date) [more] | NLP2024-45 pp.21-25 |
| EMM, ITE-ME, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2024-09-05 09:30 |
Hiroshima | Hiroshima Institute of Technology (Primary: On-site, Secondary: Online) |
Adaptive multi-channel selection methods for enhancing robustness against adversarial attacks Seishu Matsui, Terumasa Aoki (Tokyo University of Technology) LOIS2024-18 IE2024-24 EMM2024-74 |
(To be available after the conference date) [more] | LOIS2024-18 IE2024-24 EMM2024-74 pp.35-40 |
| EID, ITE-IDY, ITE-AIT, ITE-3DMT, IEE-OQD, SID-JC [detail] | 2024-09-02 14:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
Deep Learning in Projection Mapping Daisuke Iwai (UOsaka) |
(To be available after the conference date) [more] | |
| CQ (2nd) |
2024-08-29 11:00 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
A Study on the Applicability of Graph Reduction to Graph Neural Networks Matoba Tomoya, Ryotaro Matsuo, Ryo Nakamura (Fukuoka Univ.) |
With the growth of scale and complexity of networks, a concept of {em graph reduction}, which reduces the size of a net... [more] |
|
| SCE | 2024-08-09 10:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Design of Single Flux Quantum circuit with ReLU function output characteristics for neurons with superconducting devices Yuto Ueno, Yuki Hironaka, Nobuyuki Yoshikawa, Yuki Yamanashi (YNU) SCE2024-2 |
To design a circuit dedicated to artificial intelligence using single flux quantum circuits to reduce the training time ... [more] | SCE2024-2 pp.6-10 |
| IN, CCS (Joint) |
2024-07-30 12:00 |
Hokkaido | Moerenuma Park Glass Pyramid | Investigation of Feature Maps Influencing Class Identification in Image Classification Model Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) CCS2024-39 |
In recent years, the performance of image recognition based on deep learning has rapidly improved and is being applied i... [more] | CCS2024-39 pp.56-59 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 15:50 |
Okinawa | OIST | Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.) NC2024-10 IBISML2024-10 |
In machine learning, handling large datasets has been problematic in computational resources. For this issue, safe sampl... [more] | NC2024-10 IBISML2024-10 pp.67-72 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-21 16:40 |
Okinawa | OIST | Gradually Growing SparseNet Takumi Nakamura, Shogo Taneda, Yukari Yamauchi (NU) NC2024-26 IBISML2024-26 |
Gao Huang et al. proposed a Dense Convolutional Network (DenseNet) that takes the feature maps of all previous layers as... [more] | NC2024-26 IBISML2024-26 pp.165-168 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-22 11:15 |
Okinawa | OIST | Oscillation-driven reservoir computing for long-term timing/chaotic time-series prediction Yuji Kawai (Osaka Univ.), Takashi Morita (Chubu Univ.), Park Jihoon (NICT/Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./NICT/Chubu Univ.) NC2024-30 IBISML2024-30 |
Reservoir computing has been exploited for model-free prediction of various time series, including chaotic dynamical sys... [more] | NC2024-30 IBISML2024-30 pp.182-187 |
| RCS | 2024-06-19 11:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluation of Information Set Optimization for Neural Network Decoder for Polar Codes and Convolutional Polar Codes Yuto Nakamura (Kagawa Univ.), Satoshi Suyama, Satoshi Nagata (DOCOMO), Nobuhiko Miki (Kagawa Univ.) RCS2024-34 |
The polar code proposed by Arikan is a code that can achieve a property approaching the Shannon limit under successive c... [more] | RCS2024-34 pp.35-40 |
| RCS | 2024-06-21 09:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on LSTM-Aided GNSS Positioning with LTE Signal as Auxiliary Information Kotaro Oda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2024-70 |
Position estimation by the global navigation satellite system (GNSS), including the global positioning system (GPS), is ... [more] | RCS2024-70 pp.248-253 |
| CPSY, DC, RECONF, IPSJ-ARC [detail] | 2024-06-11 10:45 |
Yamanashi | Isawa View Hotel (Primary: On-site, Secondary: Online) |
Fault classification and prediction of AI accelerators based on activation maximization Ma Shanmou, Kazuteru Namba (Chiba Univ.) CPSY2024-8 DC2024-8 RECONF2024-8 |
This research proposes a method based on neural network interpretability techniques to effectively classify and predict ... [more] | CPSY2024-8 DC2024-8 RECONF2024-8 pp.40-45 |
| NLP, CCS | 2024-06-06 09:55 |
Fukuoka | West Japan General Exhibition Center AIM | Training approaches for photonic reservoir computing circuits Keigo Takabayashi, Ryota Nakayama, Takeo Maruyama, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2024-15 CCS2024-2 |
The rapid development of information technology in recent years has led to an explosive increase in the demand for compu... [more] | NLP2024-15 CCS2024-2 p.7 |
| NLP, CCS | 2024-06-06 10:20 |
Fukuoka | West Japan General Exhibition Center AIM | The Relationship between Power Laws in Neural Representation and Image Recognition Riku Matsumoto, Yasuhiro Tsuno (Ritsumeikan Univ.) NLP2024-16 CCS2024-3 |
Recent neuroscience research has found that when examining the dimensionality of the neural state space in the primary v... [more] | NLP2024-16 CCS2024-3 pp.8-13 |
| NS, PN, OCS (Joint) |
2024-06-06 10:50 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Experimental Demonstration of Adaptive Symbol Decision to Mitigate Transmitter Impairments Taisei Sekizuka, Takuma Kuno, Reiji Higuchi, Takuro Ochiai, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ) PN2024-7 |
Quadrature amplitude modulation / coherent detection systems are being considered for use in datacenters. However, the e... [more] | PN2024-7 pp.6-9 |
| NLP, CCS | 2024-06-06 16:45 |
Fukuoka | West Japan General Exhibition Center AIM | Hierarchical lossless depth image compression based on depth map colorization by cellular neural networks Tasuku Kuroda, Seiya Kushi, Shungo Saizuka (Chukyo Univ), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ) NLP2024-27 CCS2024-14 |
The widespread of compact and inexpensive RGB-D sensors has recently led to the increased utilization of RGB-D images in... [more] | NLP2024-27 CCS2024-14 pp.57-60 |
| NLP, CCS | 2024-06-07 09:55 |
Fukuoka | West Japan General Exhibition Center AIM | Detection of paroxysmal atrial fibrillation using machine learning Tatsuki Saji, Hiroyuki Kitajima (Kagawa Univ.) NLP2024-30 CCS2024-17 |
We created an AI system that detects paroxysmal atrial fibrillations from ECG waveforms using the convolutional neural n... [more] | NLP2024-30 CCS2024-17 pp.71-73 |
| ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] | 2024-06-07 10:55 |
Niigata | Nigata University (Ekinan-Campus "TOKIMATE") | Price Prediction of Handmade Items using Multimodal Data Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo) SIP2024-12 BioX2024-12 IE2024-12 MI2024-12 |
Handmade products differ from mass-produced items as each item is uniquely crafted by hand. Therefore, setting initial p... [more] | SIP2024-12 BioX2024-12 IE2024-12 MI2024-12 pp.60-65 |
| PRMU, IPSJ-CVIM | 2024-05-16 09:45 |
Tokyo | (Primary: On-site, Secondary: Online) |
Development and evaluation of a video segmentation model using differences between frames Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ) PRMU2024-3 |
Automatic Video Object Segmentation (AVOS) involves the extraction of target objects in videos autonomously, without hu... [more] | PRMU2024-3 pp.13-17 |
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