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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [schedule] [select]
Chair Hisashi Kashima (Kyoto Univ.)
Vice Chair Masashi Sugiyama (Univ. of Tokyo), Koji Tsuda (Univ. of Tokyo)
Secretary Ichiro Takeuchi (Nagoya Inst. of Tech.), Toshihiro Kamishima (AIST)
Assistant Tomoharu Iwata (NTT), Shigeyuki Oba (Kyoto Univ.)

Conference Date Tue, Mar 10, 2020 13:00 - 18:00
Wed, Mar 11, 2020 09:20 - 16:25
Topics Machine learning, etc. 
Conference Place Kyoto University 
Address Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan
Transportation Guide https://www.kyoto-u.ac.jp/en/access/main-campus-map.html
Contact
Person
Kauzuyoshi Yoshii
Participation Fee This workshop will be held as the IEICE workshop in fully electronic publishing. Participant fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the participant fee page. We request the participant fee to participants who will attend the workshop(s) on IBISML.

Tue, Mar 10 PM  Machine Learning
13:00 - 14:15
(1) 13:00-13:25 EM Algorithm for Mixture Models in Shape Analysis Kazunori Iwata (Hiroshima City Univ.)
(2) 13:25-13:50 Principal Component Analysis Based on the Mode Estimation Keishi Sando (Univ. of Tsukuba), Hideitsu Hino (ISM/RIKEN)
(3) 13:50-14:15 ()
  14:15-14:25 Break ( 10 min. )
Tue, Mar 10 PM  Detection and Prediction
14:25 - 15:15
(4) 14:25-14:50 An Ensemble Learning for Change Point Detection in Concept Drift Khai Q. Tran, Masahiro Matsunaga (SECOM)
(5) 14:50-15:15 Electrical Power Demand Forecast of an Outdoor Sport Facility Using Binary Tree and Multiple Regression Masayuki Nishiyama, Ryohei Funaki, Junichi Murata (Kyushu Univ.)
  15:15-15:25 Break ( 10 min. )
Tue, Mar 10 PM  Personal Authentication
15:25 - 18:00
(6) 15:25-15:50 Multi-modal Personal Authentication System Using CNN with Voice and Aerial Signature Shogo Takaoka, Takeshi Yoshida, Takuya Kitamura (NIT, Toyama College)
(7) 15:50-16:15 Improvement of Personal Authentication by Aerial Signature Takeshi Yoshida, Takuya Kitamura (NITT)
(8) 16:15-16:30 Poster Preview
(9) 16:30-18:00 Poster Session
Wed, Mar 11 AM  Graph Structure
09:20 - 10:35
(10) 09:20-09:45 Subspace Representation for Graphs Junki Ishikawa, Hiroaki Shiokawa, Kazuhiro Fukui (Tsukuba Univ.)
(11) 09:45-10:10 Knowledge Graph Completion by Separating Transition and Score Functions Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.)
(12) 10:10-10:35 Sentence Visualization Based on Relative Sentence Embeddings Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM)
  10:35-10:45 Break ( 10 min. )
Wed, Mar 11 AM  Visualization and Classification
10:45 - 14:00
(13) 10:45-11:10 Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification Han Bao (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo)
(14) 11:10-11:35 Multi-cross Hinge Loss for Unbalanced Multi-class Classification Shumpei Kurora (Wakayama Univ), Hirotaka Hachiya (Wakayama Univ/RIKEN), Udai Shimada (MRI), Naonori Ueda (RIKEN)
(15) 11:35-12:00 Pre-training for Behavior Classification Task Using Video Frame Prediction Task Hidemoto Nakada, Hideki Asoh (AIST)
  12:00-13:00 Lunch Break ( 60 min. )
(16) 13:00-14:00 Reports on International Conferences
  14:00-14:10 Break ( 10 min. )
Wed, Mar 11 PM  Medical Image Processing
14:10 - 15:00
(17) 14:10-14:35 Brain Tumor Detection Based on Under-sampled MRI K-Space Signals Tania Sultana, Sho Kurosaki, Yutaka Jitsumatsu, Junichi Takeuchi (Kyushu Univ.)
(18) 14:35-15:00 On Problems of Violating Assumption of Machine Learning for Medical Image Understanding Tsuyoshi Okita (Kyutech)
  15:00-15:10 Break ( 10 min. )
Wed, Mar 11 PM  Learning Theory
15:10 - 16:25
(19) 15:10-15:35
(20) 15:35-16:00 Fairness Causes Vulnerability to Adversarial Attacks Koki Wataoka, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.)
(21) 16:00-16:25 Regret analysis of Thompson sampling using a general beta distribution Yuto Kawamura, Toshiyuki Tanaka (Kyoto Univ.)

Announcement for Speakers
General TalkEach speech will have 20 minutes for presentation and 5 minutes for discussion.
General TalkEach speech will have 15 minutes for presentation and 10 minutes for discussion.

Contact Address and Latest Schedule Information
IBISML Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)   [Latest Schedule]
Contact Address  


Last modified: 2020-01-22 19:55:03


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