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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 70  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
A Study on Scheduled Sampling for Neural Transducer-based ASR
Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura (NTT)
(To be available after the conference date) [more]
R 2022-10-07
14:50
Fukuoka
(Primary: On-site, Secondary: Online)
A Note on A Transformer Encoder-Based Malware Classification Using API Calls
Chen Li (Kyutech), Junjun Zheng (Osaka Univ.) R2022-36
Malware is a major security threat to computer systems and significantly impacts system reliability. Recurrent neural ne... [more] R2022-36
pp.25-30
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
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
15:00
Okinawa
(Primary: On-site, Secondary: Online)
Emergence of Dynamical Orthogonal Basis Acquiring Large Memory Capacity in Modular Reservoir Computing
Yuji Kawai (Osaka Univ.), Jihoon Park (NICT/Osaka Univ.), Ichiro Tsuda (Chubu Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2022-28 IBISML2022-28
The brain's ability to generate complex spatiotemporal patterns with a specific timing is essential for motor learning a... [more] NC2022-28 IBISML2022-28
pp.193-198
NS, IN
(Joint)
2022-03-10
11:40
Online Online VNF/CNF migration scheduling based on Encoder-Decoder RNN for cloud native platform
Takahiro Hirayama, Masahiro Jibiki, Takaya Miyazawa, Ved P. Kafle (NICT) IN2021-35
The 5th generation (5G) or beyond 5G (B5G) mobile networks are required to offer various kinds of services, such as enha... [more] IN2021-35
pp.25-30
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
10:20
Okinawa
(Primary: On-site, Secondary: Online)
A Study on Hybrid RNN-T/Attention-based Streaming ASR with Triggered Chunkwise Attention and Dual Internal Language Model Integration
Takafumi Moriya, Takanori Ashihara, Atsushi Ando, Hiroshi Sato, Tomohiro Tanaka, Kohei Matsuura, Ryo Masumura, Marc Delcroix (NTT), Takahiro Shinozaki (Tokyo Tech) EA2021-78 SIP2021-105 SP2021-63
In this paper we propose improvements to our recently proposed hybrid RNN-T/Attention architecture that includes a share... [more] EA2021-78 SIP2021-105 SP2021-63
pp.90-95
SAT, SANE
(Joint)
2022-02-24
14:25
Online Online Study on human detection using beamforming and RNN
Isao Matsushima, Takayuki Kitamura, Satoshi Kageme (Mitsubisi Electric) SANE2021-98
In this paper, we introduce in-door human detection algorithm using millimeter-wave radar. The algorithm based on recurr... [more] SANE2021-98
pp.7-11
RCS, SIP, IT 2022-01-20
15:10
Online Online [Invited Talk] Wireless link quality prediction using physical space information in Society 5.0
Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2021-44 SIP2021-52 RCS2021-212
Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It i... [more] IT2021-44 SIP2021-52 RCS2021-212
pp.93-94
NLP 2021-11-19
15:20
Hiroshima   Feature extraction from speech data using leaky echo state network
Naoto Kikukawa, Koshiro Onuki, Takaya Miyano (Ritsumeikan Univ.) NLP2021-40
(To be available after the conference date) [more] NLP2021-40
pp.23-26
MI, MICT [detail] 2021-11-05
15:30
Online Online Respiratory Sound Classification Based on Wavelet Scattering Transform and CRNN
Naoki Asatani, Huimin Lu, Tohru Kamiya (KIT), Shingo Mabu (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MICT2021-41 MI2021-39
(To be available after the conference date) [more] MICT2021-41 MI2021-39
pp.62-65
SC 2021-05-28
15:15
Online Online Local-location and short-term solar power forecast system for marine environment observation devices
Tetsuo Imai (Hiroshima City Univ.), Satoshi Ichimaru, Kenichi Arai, Toru Kobayashi (Nagasaki Univ.) SC2021-8
Marine environmental observatories for environmental assessment offshore are powered by renewable energy sources such as... [more] SC2021-8
pp.39-43
NC, MBE
(Joint)
2021-03-05
13:00
Online Online The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks
Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] NC2020-69
pp.151-156
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-04
14:00
Online Online An experimental comparison of CNN- and CRNN-CTC for automatic phrase speech recognition systems using a children's speech database
Yunzhe Wang, Yu Tian (Hokkaido Univ.), Yoshikazu Miyanaga (CIST), Hiroshi Tsutsui (Hokkaido Univ.) SIS2020-9
Children's speech recognition is still a challenging issue. In the case of children's speeches, the accuracy of conventi... [more] SIS2020-9
pp.49-54
NS, IN
(Joint)
2020-03-06
14:00
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Routing Design Method using Recurrent Deep Learning Model for Guaranteed Bandwidth Services
Makoto Ito, Taiju Mikoshi, Katsunori Oyama, Toshihiro Nishizono (Nihon Univ.) NS2019-240
This study proposes a novel routing design method using deep neural network for guaranteed bandwidth services. The propo... [more] NS2019-240
pp.353-358
HWS, VLD [detail] 2020-03-05
14:55
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
[Memorial Lecture] A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation
Yuki Kume, Song Bian, Takashi Sato (Kyoto Univ.) VLD2019-118 HWS2019-91
Echo state network (ESN) is a class of recurrent neural network, and is known for drastically reducing the training time... [more] VLD2019-118 HWS2019-91
pp.139-144
HWS, VLD [detail] 2020-03-06
16:50
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
Performance Evaluation of Echo State Networks with Hardware Reservoirs
Yuki Kume, Song Bian, Kenta Nagura, Takashi Sato (Kyoto Univ.) VLD2019-136 HWS2019-109
Echo state Network (ESN), a class of recurrent neural network, is characteristic in its use of a reservoir having random... [more] VLD2019-136 HWS2019-109
pp.245-250
NC, MBE
(Joint)
2020-03-06
14:55
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Efficient cluster mapping for conditions of weather based on combination of self-organizing map and hierarchical clustering
Kazuki Osawa, Keiji Kamei (NIT), Masumi Ishikawa (KIT) NC2019-113
Recently, applications of Deep Learning(AI) for solving social problems have been frequently proposed. However, there ar... [more] NC2019-113
pp.213-218
ICSS, IPSJ-SPT 2020-03-03
11:00
Okinawa Okinawa-Ken-Seinen-Kaikan
(Cancelled but technical report was issued)
Model checking RNNs with modal μ-calculus
Tatsuhiro Aoshima, Toshinori Usui (NTT) ICSS2019-88
Machine learning models have been applied to many cyber-physical systems such as self-driving cars, robotics, and factor... [more] ICSS2019-88
pp.119-124
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