IEICE Technical Report

Online edition: ISSN 2432-6380

Volume 120, Number 195

Infomation-Based Induction Sciences and Machine Learning

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Table of contents

IBISML2020-8
Deep Learning for Table Data Using Asterisk-shaped Filtering
Yuki Kurauchi, Yoshiaki Takimoto, Shuhei Yamamoto, Shunichi Seko, Hiroyuki Toda (NTT)
pp. 1 - 7

IBISML2020-9
Few-shot Anomaly Detection by Extracting Common Feature of Set Data
Kazuki Sato (Kobe Univ.), Satoshi Nakata (The KAITEKI Institute), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.)
pp. 8 - 13

IBISML2020-10
System operation for estimation of road condition using tire vibration data
Satoru Kawamata (Bridgestone), Tomoko Matsui (ISM), Mitsuhiro Nishida, Takeshi Masago (Bridgestone)
pp. 14 - 19

IBISML2020-11
Do 21st century Humans See Through Fake Science? -- A Trial of Forward Error Correction of Linguistic Information --
Kumon Tokumaru (Writer)
pp. 20 - 27

IBISML2020-12
[Invited Talk] *

p. 28

IBISML2020-13
[Invited Talk] *

p. 29

IBISML2020-14
(See Japanese page.)
p. 30

IBISML2020-15
(See Japanese page.)
p. 31

IBISML2020-16
(See Japanese page.)
p. 32

IBISML2020-17
(See Japanese page.)
p. 33

IBISML2020-18
(See Japanese page.)
pp. 34 - 35

IBISML2020-19
(See Japanese page.)
p. 36

IBISML2020-20
(See Japanese page.)
pp. 37 - 38

IBISML2020-21
(See Japanese page.)
p. 39

IBISML2020-22
(See Japanese page.)
p. 40

IBISML2020-23
(See Japanese page.)
p. 41

IBISML2020-24
(See Japanese page.)
p. 42

IBISML2020-25
(See Japanese page.)
pp. 43 - 44

IBISML2020-26
(See Japanese page.)
p. 45

IBISML2020-27
(See Japanese page.)
p. 46

IBISML2020-28
(See Japanese page.)
p. 47

IBISML2020-29
(See Japanese page.)
p. 48

IBISML2020-30
An Extended LiNGAM minimizing Mutual Information and its Application to Ordering Discrete Variables
Joe Suzuki, Yusuke Inaoka (OU)
pp. 49 - 54

IBISML2020-31
Improvement of the robustness by increasing the size of feedback vertex set
Masaki Chujyo, Yukio Hayashi (JAIST)
pp. 55 - 60

IBISML2020-32
Suppressing explanations with irrelevant concepts in deep learning
Munemasa Tomohiro (Tsukuba Univ), Fukuchi Kazuto, Akimoto Yohei, Sakuma Jun (Tsukuba Univ/Riken AIP)
pp. 61 - 68

IBISML2020-33
A Proximal Gradient Method for Convex Clustering
Ryosuke Shimmura, Joe Suzuki (Osaka Univ.)
pp. 69 - 74

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.