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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SC | 2021-03-19 10:40 |
Online | Online | Study of Event Monitoring Technique Using Machine Learning for IT Operations
-- Study of AI for IT Ops -- Takashi Tameshige, Yasuyuki Tamai, Mineyoshi Masuda, Koichi Murayama (Hitachi) |
(To be available after the conference date) [more] | |
| MI | 2021-03-15 15:45 |
Online | Online | Feasibility study of automatic extraction method of coronary artery stationary period using CNN
-- Comparison between 1.5T and 3.0T -- Remina Kasai, Yuta Endo, Haruna Shibou, Makoto Amanuma, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) |
(To be available after the conference date) [more] | |
| KBSE | 2021-03-05 15:15 |
Online | Online | Building of an Application Reviews Classifier by BERT, and Its Evaluation Yuki Yamada, Atsuo Hazeyama (okyo Gakugei Univ.)  KBSE2020-38 |
(To be available after the conference date) [more] | KBSE2020-38 pp.25-30 |
| KBSE | 2021-03-06 14:55 |
Online | Online | KBSE2020-46 |
(To be available after the conference date) [more] | KBSE2020-46 pp.71-76 |
| PRMU, IPSJ-CVIM | 2021-03-05 16:40 |
Online | Online | A Basic Study on Automated Data Labeling for Machine Learning-based Local Image Features Matcher Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2020-101 |
(To be available after the conference date) [more] | PRMU2020-101 pp.181-186 |
| WBS, IT, ISEC | 2021-03-05 14:45 |
Online | Online | Consideration of embedding methods and machine learning models for detecting malicious URLs Qisheng Chen, Kazumasa omote (Univ. of Tsukuba) IT2020-157 ISEC2020-87 WBS2020-76 |
(To be available after the conference date) [more] | IT2020-157 ISEC2020-87 WBS2020-76 pp.281-287 |
| IN, NS (Joint) |
2021-03-05 11:00 |
Online | Online | A Model Selection Optimization Method for Distributed Machine Learning with Feature Model Combination Ryuichi Mochizuki, Takeshi Tsuchiya, Hiroo Hirose, Tetsuyasu Yamada (SUS) IN2020-83 |
(To be available after the conference date) [more] | IN2020-83 pp.172-177 |
| HPB (2nd) |
2021-03-03 | Online | Online | An evaluation on incremental addition of new portable device storing positions under realistic usage scenarios Mitsuaki Saito, Kaori Fujinami (TUAT) |
With the spread of portable devices in recent years, work is being actively conducted to recognize the position of the d... [more] | |
| HPB (2nd) |
2021-03-03 | Online | Online | Estimation of CO2 Concentration Using MOX Sensors and Neural Network Harunobu Taguchi, Takuya Sano (NITTC), Shinichi Kondo, Koji Takahashi, Yutaka Tamura, Toshimitsu Kitamura (Toshiba Info. Sys. Co.), Shinichiro Mito (NITTC) |
A visualization of indoor environments by measuring CO2 concentration has been attracting attention, because CO2 causes ... [more] | |
| RCS, SR, SRW (Joint) |
2021-03-03 09:45 |
Online | Online | Performance Evaluation of a Machine Learning-Based Rate Selection Scheme for Wireless LAN in the Presence of Contention and Hidden Nodes Souki Watanabe, Hiraku Okada, Ben Naila Chedlia, Masaaki Katayama (Nagoya Univ.) RCS2020-203 |
In IEEE802.11, the transmission rate is specified in multiple steps by the Modulation and Coding Scheme (MCS), which is ... [more] | RCS2020-203 pp.1-6 |
| RCS, SR, SRW (Joint) |
2021-03-03 12:05 |
Online | Online | A Study on Lazy Learning-Based Self-Interference Cancellation Approach for In-Band Full-Duplex Wireless Communication Systems Ou Zhao, Wei-Shun Liao, Keren Li, Takeshi Matsumura, Fumihide Kojima, Hiroshi Harada (NICT) RCS2020-214 |
To further improve spectral efficiency for current wireless communication systems, we propose a new lazy learning-based ... [more] | RCS2020-214 pp.67-72 |
| RCS, SR, SRW (Joint) |
2021-03-04 11:35 |
Online | Online | [Poster Presentation]
Radio Propagation Prediction Using Building Information in Radio Environment Map for Smart Meters Soraya Mitate, Takeo Fujii (UEC) RCS2020-237 SR2020-76 SRW2020-66 |
In recent years, smart metering systems that efficiently control household resources such as water, electricity, and gas... [more] | RCS2020-237 SR2020-76 SRW2020-66 pp.163-164(RCS), pp.56-57(SR), pp.51-52(SRW) |
| RCS, SR, SRW (Joint) |
2021-03-05 16:55 |
Online | Online | Electromagnetic Noise Classification and Novelty Detection for Frequency Sharing among Various Communications in the Manufacturing Field Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi (ATR), Toshiyuki Maeyama (ATR/Takushoku Univ.), Akio Hasegawa, Hiroyuki Yokoyama (ATR) SR2020-89 |
Machine learning is applied to classify the electromagnetic noise generated in the manufacturing field. The frequency an... [more] | SR2020-89 pp.99-103 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 11:15 |
Online | Online | Automatic Detection of Epileptic Abnormal EEG Using Deep Learning Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27 |
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] | EA2020-62 SIP2020-93 SP2020-27 pp.15-20 |
| SS | 2021-03-03 15:00 |
Online | Online | Performance Evaluation of Automatic Bug Repair using Neural Machine Translation with Bug Fix Histories Gakuto Akiyama, Tsukasa Nakamura, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2020-34 |
DeepFix is one of the automatic bug fixing tools. It repairs syntax errors by embedding errors into error-free programs... [more] |
SS2020-34 pp.37-42 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
Issues on automatic soundscape generation based on image object detection Yoshifumi Chisaki (CIT), Toshiharu Horiuchi (KDDI Research, Inc.) EA2020-66 SIP2020-97 SP2020-31 |
This study describes automatic soundscape generation process for non-audio movie and photo. The processes consists of ... [more] |
EA2020-66 SIP2020-97 SP2020-31 pp.41-44 |
| BioX, CNR | 2021-03-02 09:30 |
Online | Online | Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices Kei Suzuki, Ryota Matsubara, Midori Sugaya (Shibaura Inst. of Tech.) BioX2020-40 CNR2020-13 |
Urabe et al. have conducted research on human emotion estimation techniques. They constructed an emotion estimation mode... [more] | BioX2020-40 CNR2020-13 pp.1-6 |
| IBISML | 2021-03-03 09:45 |
Online | Online | IBISML2020-44 |
Industrial applications of AI and machine learning technology are expanding. NTT DOCOMO drive an data-driven innovation... [more] |
IBISML2020-44 p.36 |
| IBISML | 2021-03-03 11:55 |
Online | Online | IBISML2020-47 |
Mobility Technologies is providing a next-generation AI dashboard camera service called “DRIVE CHART” to help reduce tra... [more] | IBISML2020-47 p.39 |
| IBISML | 2021-03-03 14:25 |
Online | Online | Markov Decision Processes for Simultaneous Control of Multiple Objects with Different State Transition Probabilities in Each Cluster Yuto Motomura, Akira Kamatsuka, Koki Kazama, Toshiyasu Matsushima (Waseda Univ.) IBISML2020-49 |
In this study, we propose an extended MDP model, which is a Markov decision process model with multiple control objects ... [more] | IBISML2020-49 pp.47-54 |
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