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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2024-05-16
15:10
Tokyo
(Primary: On-site, Secondary: Online)
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.)
(To be available after the conference date) [more]
IA 2024-01-25
16:10
Tokyo Kwansei Gakuin Univiversity, Marunouchi Campus
(Primary: On-site, Secondary: Online)
[Poster Presentation] Analyzing Cybersecurity Datasets -- Enhancing Security throughout the Data Life Cycle --
Chidchanok Choksuchat, Sorawit Khamnaewnak, Siwakorn Kasikam, Chanin Maiprom, Suwimon Bureekarn (PSU) IA2023-63
Our study identifies and prevents threats in real-time, particularly focusing on the publishing stage of the data lifecy... [more] IA2023-63
pp.37-39
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS 2023-10-27
11:40
Hokkaido   Online Structured Job Interview Assessment Using Multimodal Transformer and Prompt Learning
Shengzhou Yi (UTokyo), Toshiaki Yamasaki (taleasse), Toshihiko Yamasaki (UTokyo) MVE2023-28
Online interviews have gained significant traction in recruitment processes due to their enhanced efficiency. Among vari... [more] MVE2023-28
pp.34-39
TL 2023-03-11
14:15
Online Online Emergent Inference in Grammatical Machineries -- Acquisition of Associative Knowledge into Deductive Systems --
Yasunari Harada (Waseda Univ.) TL2022-39
The essence of linguistic communication lies in "exchange of meanings" and "meaningful exchanges of messages." In recent... [more] TL2022-39
pp.30-35
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
11:40
Okinawa
(Primary: On-site, Secondary: Online)
Predominant Instrument Recognition in Polyphonic Music Based on Transfer Learning with Vanilla ResNet-50
Lifan Zhong, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2022-114 SIP2022-158 SP2022-78
Instrument recognition is an active research field in MIR (Music Information Retrieval) and has great potential for real... [more] EA2022-114 SIP2022-158 SP2022-78
pp.232-237
ET 2022-11-05
13:25
Online Online Strategy-based Code Sharing Method in a Code Sharing Platform for Encouraging Refinement Activities
Shintaro Maeda, Kento Koike, Takahito Tomoto (Tokyo Polytechnic Univ.) ET2022-34
Refinement activities are important in learning programming to make codes better. To promote refinement activities, we h... [more] ET2022-34
pp.25-28
MI 2022-09-15
15:15
Kanagawa
(Primary: On-site, Secondary: Online)
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology
Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] MI2022-62
pp.53-58
PRMU 2021-08-26
10:00
Online Online Unsupervised non-rigid alignment for multiple noisy images
Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida (Kyushu Univ.), Hiroyuki Sekiguchi (Kyoto Univ.), Takayuki Yagi (Luxonus), Imari Sato (NII), Ryoma Bise (Kyushu Univ.) PRMU2021-7
We propose a deep non-rigid alignment network that can simultaneously perform non-rigid alignment and noise decompositio... [more] PRMU2021-7
pp.1-6
SIP 2021-08-24
10:00
Online Online [Invited Talk] Audio source separation based on independent low-rank matrix analysis and its extensions
Daichi Kitamura (NIT Kagawa) SIP2021-32
Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In parti... [more] SIP2021-32
pp.19-24
QIT
(2nd)
2021-05-25
09:30
Online Online Acceleration of Extreme Learning Machines by Dequantization of Quantum Singular Value Decomposition
Iori Takeda, Souichi Takahira, Kousuke Mitarai, Keisuke Fujii (Osaka Univ.)
In 2016, the quantum recommendation system was proposed by Kerenidis and Prakash, and it was shown that the singular val... [more]
NLC 2020-09-10
09:40
Online Online Related Article Extraction Using Learning to Rank
Tsukasa Shiota, Kazutaka Shimada (Kyutech), Shinji Nogami, Shuhei Fukuyama (NNP) NLC2020-1
Related articles of a news article help readers to access other beneficial information efficiently, so it is an importan... [more] NLC2020-1
pp.1-6
IN 2020-01-23
14:40
Aichi WINC AICHI e-Travel: Automatical Travel Support Site Generation based on Review Analysis per Travel Style
Naoki Kawamura, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-67
For traveling and sightseeing, many people often use travel review sites and travel information magazines. Some travel r... [more] IN2019-67
pp.13-18
KBSE, SS, IPSJ-SE [detail] 2019-07-13
14:45
Hokkaido   Source Code Evaluation Method by Machine Learning using Source Code Feature Metrics
Keisuke Makihara, Makoto Matsushita, Katsuro Inoue (Osaka Univ.) SS2019-5 KBSE2019-15
We propose a method to evaluate source codes quantitively and automatically using machine learning. In this method, we c... [more] SS2019-5 KBSE2019-15
pp.105-110
CS 2019-07-04
09:00
Kagoshima Amami City Social Welfare Center Traffic Feature-based Botnet Detection Scheme Emphasizing the Importance of Long Patterns
Yichen An, Shuichiro Haruta, Sanghun Choi, Iwao Sasase (Keio Univ.) CS2019-18
The botnet detection is imperative. Among several detection schemes, the promising one uses the communication sequences.... [more] CS2019-18
pp.31-35
SIP 2018-08-20
16:00
Tokyo Takushoku Univ. Bunkyo Campus. [Invited Talk] Image and Video Inpainting -- Recent Advances in Inpainting and its Subjective Quality Assessment --
Mariko Isogawa (NTT) SIP2018-61
(To be available after the conference date) [more] SIP2018-61
p.25
NLC, IPSJ-ICS 2018-07-07
10:20
Hokkaido Hokkaido University Estimating Trivia Score for Trivia Sentence Extraction
Kazuya Niina, Kazutaka Shimada (KIT) NLC2018-7
Dialogue systems have been increasingly important these days.
In particular, non-task-oriented dialogue systems have be... [more]
NLC2018-7
pp.69-74
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Development of NU Voice Conversion System 2018
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi (Nagoya Univ.), Tomoki Toda (Nagoya Univ./JST PRESTO) EA2017-138 SIP2017-147 SP2017-121
This paper presents NU (Nagoya University) voice conversion (VC) system for the HUB task of Voice
Conversion Challenge ... [more]
EA2017-138 SIP2017-147 SP2017-121
pp.203-208
HCS 2018-03-13
14:50
Miyagi Research Institute of Electrical Communication, Tohoku University Improvement of Learning Motivation by Changing Achievement of Virtual Rival
Yusuke Suetsugu, Natsuki Oka (KIT), Takatsugu Kojima (SUMS), Kazuaki Tanaka (KIT) HCS2017-100
In Japanese schools, unidirectional lessons from teachers and monotonous learning as memorization are commonly done. As ... [more] HCS2017-100
pp.41-46
IBISML 2018-03-06
10:50
Fukuoka Nishijin Plaza, Kyushu University The improving method of Singular Bayesian information criterion by analyzing learning coefficients
Sayaka Suzuki, Souta Shina, Miki Aoyagi (Nihon Univ.) IBISML2017-100
Real data associated with genetic analysis, data mining,
image or speech recognition, artificial intelligence, the cont... [more]
IBISML2017-100
pp.71-76
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning
Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] IBISML2017-38
pp.23-30
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