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All Technical Committee Conferences (Searched in: All Years)
| 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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