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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 808  /  [Next]  
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
 Results 1 - 20 of 808  /  [Next]  
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