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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 623  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, NLP 2022-10-20
14:55
Niigata
(Primary: On-site, Secondary: Online)
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor
Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS)
(To be available after the conference date) [more]
CPSY, DC, IPSJ-ARC [detail] 2022-10-11
16:15
Niigata Yuzawa Toei Hotel
(Primary: On-site, Secondary: Online)
Low power quantized neural network by reducing the operating voltage of SRAM
Ji Wu, Kazuteru Namba (Chiba Univ) CPSY2022-20 DC2022-20
(To be available after the conference date) [more] CPSY2022-20 DC2022-20
pp.14-19
NC, MBE
(Joint)
2022-09-29
10:25
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Analog circuit implementation of spiking neural networks and its application to time-series information processing
Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato, Yoshihiko Horio (Tohoku Univ) NC2022-33
Edge computing in which low-dimensional signals such as sensor output are processed nearby sensors have become increasin... [more] NC2022-33
p.5
NC, MBE
(Joint)
2022-09-29
10:50
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Improvement of AdaBoost algorithm for spiking neural networks
Masaya Kawaguchi, Jun Ohkubo (Saitama Univ.) NC2022-34
Unlike artificial neural networks (ANNs), which have been widely used recently, spiking neural networks (SNNs) have attr... [more] NC2022-34
pp.6-10
NC, MBE
(Joint)
2022-09-30
09:40
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
On optimization of periodic orbits in permutation binary neural networks
Kento Saka, Toshimichi Saito (HU) NC2022-38
This paper introduces a permutation binary neural network characterized by local binary connection and global permutatio... [more] NC2022-38
pp.24-27
IBISML 2022-09-15
14:00
Kanagawa Keio Univ. (Yagami Campus)
(Primary: On-site, Secondary: Online)
Interpretable Model Combining Decision Rules and DNN
Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] IBISML2022-36
pp.25-30
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.) SIP2022-72
With the advancement of AI technology, AI can be applied to various fields. Therefore the accountability for the decisio... [more] SIP2022-72
pp.115-120
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) RCS2022-117
In small cell networks, random deployment of small cell base stations (BSs) can cause overlapping coverage areas, which ... [more] RCS2022-117
pp.114-119
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
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