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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP | 2022-08-26 14:26 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Generation method of Adversarial Examples using XAI Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) |
(To be available after the conference date) [more] | |
| SAT, RCS (Joint) |
2022-08-26 11:15 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Transmit Power Control for MIMO Small Cells Networks Employing Neural Networks with Compressed Sensing Algorithms Haoxiang Luan, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) |
(To be available after the conference date) [more] | |
| NLP | 2022-08-02 15:05 |
Online | Online | A fundamental virtual clinical trial of neural prosthetic device based on ergodic cellular automaton neuron model Haruto Suzuki, Torikai Hiroyuki (Hosei Univ.)  NLP2022-35 |
In this paper, an ergodic cellular automaton neuron model and its differentiation method are proposed. It is shown that... [more] |
NLP2022-35 pp.35-38 |
| SS, IPSJ-SE, KBSE [detail] | 2022-07-29 13:25 |
Hokkaido | Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
Fault Localization for RNNs Based on Probabilistic Automata and n-grams Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2022-10 KBSE2022-20 |
If deep learning models misbehave, serious accidents may occur.Previous studies have proposed approaches to overcome suc... [more] | SS2022-10 KBSE2022-20 pp.55-60 |
| IT | 2022-07-22 10:50 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
A study on deep learning-based cyber attack detection Ruei-Fong Hong (UoA), Shih-Cheng Horng (CYUT), Qiangfu Zhao (UoA) IT2022-22 |
Cyberattack is a broad term for cybercrime that includes any deliberate attack on a computer device, network or infrastr... [more] | IT2022-22 pp.36-41 |
| LOIS, IPSJ-DC | 2022-07-07 11:00 |
Online | Online | Greenhouse Microclimate Prediction based on Neural Networks Mujawamariya Marie Grace (Univ. of Tsukuba), Toshiyuki Amagasa (CCS, Univ. of Tsukuba), Naoya Fukuda (Univ. of Tsukuba) LOIS2022-4 |
Multivariate time series prediction approaches have been significant in wide range of real-world application. This paper... [more] | LOIS2022-4 pp.1-6 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optimization of recurrent neural network structure by controlling symmetry of weight matrix Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.) NC2022-26 IBISML2022-26 |
In this study, we investigated the relationship between the strength of symmetry in a Gaussian random matrix of a recurr... [more] | NC2022-26 IBISML2022-26 pp.184-188 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 14:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
LSI implementation of analog CMOS majority circuit for neural network applications Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.) NC2022-27 IBISML2022-27 |
Majority logic circuit is a circuit whose output is the majority value of multiple binary inputs. It can be applied to b... [more] | NC2022-27 IBISML2022-27 pp.189-192 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Neural beamformer with automatic detection of notable sounds for acoustic scene classification Sota Ichikawa, Takeshi Yamada (Univ. of Tsukuba), Shoji Makino (Waseda Univ./Univ. of Tsukuba) SP2022-10 |
Recently, acoustic scene classification using a beamformer with multi-channel signals as input has been proposed. Genera... [more] | SP2022-10 pp.35-40 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | SP2022-13 |
We investigate the method for unsupervised learning of artifacts correction networks used for post-processing of Multi B... [more] | SP2022-13 pp.49-54 |
| CCS, NLP | 2022-06-09 14:15 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Recognition Accuracy by Sequential Execution of Unsupervised Learning and Semi-supervised Learning Hiroki Murakami, Hidehiro Nakano (Tokyo City Univ.) NLP2022-4 CCS2022-4 |
In this study, we propose a sequential learning method that improves recognition accuracy by alternately utilizing the k... [more] | NLP2022-4 CCS2022-4 pp.17-22 |
| CCS, NLP | 2022-06-09 14:55 |
Osaka | (Primary: On-site, Secondary: Online) |
Basic Performance of CNNs Using Dynamic Filters Based on Octave Convolution Kiyotaka Matono, Hidehiro Nakano (Tokyo City Univ.) NLP2022-5 CCS2022-5 |
The methods of using dynamic filters for convolutional neural networks (CNNs) have attracted attentions. In recent years... [more] | NLP2022-5 CCS2022-5 pp.23-26 |
| CCS, NLP | 2022-06-09 15:45 |
Osaka | (Primary: On-site, Secondary: Online) |
Reservoir computing with spiking neural networks and reward-modulated STDP Takayuki Tsurumi, Gouhei Tanaka (UTokyo) NLP2022-7 CCS2022-7 |
In a previous study, it was verified that tasks requiring nonlinearity and working memory can be performed using reward-... [more] | NLP2022-7 CCS2022-7 pp.31-35 |
| CCS, NLP | 2022-06-09 16:25 |
Osaka | (Primary: On-site, Secondary: Online) |
User-guided Image Colorization by Cellular Neural Network Shungo Saizuka, Yuto Ozeki, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2022-8 CCS2022-8 |
Many historically attractive and valuable images are taken as gray-scale images. On the other hand, since color informa... [more] |
NLP2022-8 CCS2022-8 pp.36-39 |
| CCS, NLP | 2022-06-09 16:50 |
Osaka | (Primary: On-site, Secondary: Online) |
A Study on Accelerating Stochastic Weight Difference Propagation with Momentum Term Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2022-9 CCS2022-9 |
With the rapid development of the IoT, there has been an increasing need to process the data on microcomputers equipped ... [more] | NLP2022-9 CCS2022-9 pp.40-45 |
| RECONF | 2022-06-08 15:25 |
Ibaraki | CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
A Compact High-Speed CNN Implementation based on Redundant Computational Analysis and FPGA Acceleration Li Qi, Li Hengyi, Meng Lin (Ritsumeikan Univ.) RECONF2022-21 |
Convolutional Neural Networks (CNNs) have achieved high performance and are widely used in various applications. However... [more] | RECONF2022-21 pp.89-94 |
| IN, RCS, NV (Joint) |
2022-05-26 11:50 |
Kanagawa | Keio University (Hiyoshi Campus) (Primary: On-site, Secondary: Online) |
Application of Darwinian Neurodynamics Model for Dynamic TDD Resource Allocation Lu Chen, Masayuki Murata (Osaka Univ.) IN2022-3 |
Following the launch of 5G mobile network services, private 5G networks are getting started to be available, and have a ... [more] | IN2022-3 pp.13-18 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:40 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] | SIP2022-29 BioX2022-29 IE2022-29 MI2022-29 pp.150-155 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 17:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Deformable registration of 3D medical images with Deep Residual UNet Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30 |
(To be available after the conference date) [more] | SIP2022-30 BioX2022-30 IE2022-30 MI2022-30 pp.156-160 |
| IT, EMM | 2022-05-18 10:50 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
Binarized Neural Networks and Trainable ISTA based Signature Code with Channel Estimation for Multiple Access Rayleigh Fading Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.) IT2022-10 EMM2022-10 |
User Identification (UI) and Channel Estimation (CE) schemes are essential issues in wireless networks with massive user... [more] | IT2022-10 EMM2022-10 pp.50-55 |
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