Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
LOIS, ICM |
2022-01-27 15:25 |
Online |
Online |
[Invited Talk]
Cyber Security with Human-in-the-Loop Machine Learning Masato Uchida (Waseda Univ.) ICM2021-38 LOIS2021-36 |
There have been many studies on methods to detect various malicious activities in cyberspace using machine learning mode... [more] |
ICM2021-38 LOIS2021-36 pp.31-33 |
PRMU |
2021-12-17 14:45 |
Online |
Online |
Data Selection for Efficient Deep Learning Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2021-51 |
We are investigating the method to sample the important data from the whole dataset for efficient training of Deep Neura... [more] |
PRMU2021-51 pp.148-153 |
PRMU |
2021-12-17 15:40 |
Online |
Online |
[Short Paper]
Segmentation of Cervical Cancer Pathological Image Kengo Araki (Kyushu Univ.), Mariyo Rokutan-Kurata, Kazuhiro Terada, Akihiko Yoshizawa (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2021-55 |
(To be available after the conference date) [more] |
PRMU2021-55 pp.170-175 |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Analysis of Eye Movements during Facial Attractiveness Evaluation based on Hidden Markov Model Kazuyuki Asai, Shigeru Akamatsu (Hosei Univ.) |
In this study, we analyzed whether there is a relationship between attractiveness evaluation for face images and eye mov... [more] |
|
ET |
2021-10-30 15:15 |
Online |
Online |
the relationship between proactive behavior at work and learning activity at university Katsuhiko Ishikawa (YGU) ET2021-18 |
In this study, we examined the relationship between the possession of role models as learning behavior at university and... [more] |
ET2021-18 pp.13-18 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 15:45 |
Online |
Online |
Active learning for distributionally robust chance-constrained optimization Yu Inatsu, Shion Takeno, Masayuki Karasuyama (Nitech), Ichiro Takeuchi (Nitech/RIKEN) NC2021-7 IBISML2021-7 |
Chance-constrained optimization (CCO) is one of the constrained optimization problems where some of the inputs to a blac... [more] |
NC2021-7 IBISML2021-7 pp.47-54 |
WIT |
2021-06-01 14:30 |
Online |
Online |
An examination of interactive whiteboard for low vision that supports visual recognition of board information using laser retina imaging Hisayuki Tatsumi, Noriyuki Horie (Tsukuba Univ. of Tech.), Yasuyuki Murai (Nihon Pharma. Univ.), Makoto Kobayashi (Tsukuba Univ. of Tech.) WIT2021-7 |
Of the two major visual behaviors for low vision students in school learning, reading a textbook is possible by bringing... [more] |
WIT2021-7 pp.32-37 |
HCS |
2021-03-15 13:20 |
Online |
Online |
Trial effort to increase student participation in online class discussions
-- Compare face-to-face and online classes -- Takashi Yamanaka (Kagawa Univ) HCS2020-70 |
Active involvement of students is indispensable for active learning that leads to deeper learning. In a class of about 4... [more] |
HCS2020-70 pp.18-20 |
MI |
2021-03-15 15:30 |
Online |
Online |
Evaluation of Bayesian Active Learning for Segmentation of Liver and Spleen in Large Scale Abdominal MR Data Sets Bin Zhang, Yoshito Otake, Mazen Soufi (NAIST), Masatoshi Hori (Kobe University), Noriyuki Tomiyama (Osaka University), Yoshinobu Sato (NAIST) MI2020-60 |
Manual annotation in image segmentation is time-consuming and expensive. In order to obtain large number of annotated da... [more] |
MI2020-60 pp.62-65 |
ET |
2021-01-23 13:10 |
Online |
Online |
Implementation of AI chat bot into the interactive lecture module Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2020-46 |
An AI chat bot function is implemented into the interactive lecture module which I have developed. The module implement... [more] |
ET2020-46 pp.1-6 |
LOIS |
2020-03-12 11:05 |
Okinawa |
Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing Osamu Saisho, Keiichiro Kashiwagi, Yui Saito, Tomoyuki Fujino (NTT) LOIS2019-73 |
For edge computing, there is still a great demand to upload only meaningful data to cloud,. However there is no practica... [more] |
LOIS2019-73 pp.97-101 |
ET |
2020-03-07 10:35 |
Kagawa |
National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
A Proposal of an E-Portfolio-based System for Practice Problems to Foster Active Learning Sayaka Sasaki, Yasuhiko Morimoto (Gakugei Univ.) ET2019-77 |
Personalized learning that supports each student’s learning adaptively based on his/her competencies is required in scho... [more] |
ET2019-77 pp.7-12 |
ET |
2019-12-07 11:25 |
Tokyo |
Tokyo University of Agriculture and Technology |
Deterrence of Deterioration of Artifacts in the Hetero Pairing Daisuke Ike, Kousuke Mouri, Keiichi Kaneko (TUAT) ET2019-61 |
In active learning, it is preferable to make learners group with different characteristics as much as possible. Learners... [more] |
ET2019-61 pp.17-20 |
SR |
2019-12-05 13:50 |
Okinawa |
Ishigaki City Hall (Ishigaki Island) |
[Poster Presentation]
Quality state analysis of eNodeB log data by semi-supervised learning using Self training Shouta Yoshida (TCU), Atsushi Morohoshi (Fujitsu Fsas), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) SR2019-92 |
In an LTE network where traffic is increasing year by year. It is important to quickly find the cause when a failure occ... [more] |
SR2019-92 pp.29-36 |
ET |
2019-10-19 15:30 |
Okinawa |
University of the Ryukyus |
An Interactive Robot Lecture for Changing Lecture Scenario Ayumu Sugawara (UEC), Mitsuhiro Goto (NTT Service Evolutions Laboratories), Akihiro Kashihara (UEC) ET2019-44 |
In university lectures and e-Learning video lecture, it is important for lectures to change the order of lecture scenari... [more] |
ET2019-44 pp.69-74 |
IA |
2019-10-04 16:00 |
Tokyo |
Tokyo Univ., Hongo Campus, Takeda Hall |
Active learning
-- Student-centered presentation -- Taeko Oka (Human Environment Univ.) IA2019-20 |
(To be available after the conference date) [more] |
IA2019-20 pp.1-6 |
PRMU, MI, IPSJ-CVIM [detail] |
2019-09-05 14:25 |
Okayama |
|
Active learning based on self-supervised feature learning Shunsuke Tsukatani, Kazuhiko Murasaki, Shingo Andou, jun Shimamura (NTT) PRMU2019-28 MI2019-47 |
In this paper, we propose an active learning algorithm based on self-supervised feature learning. When the domain of the... [more] |
PRMU2019-28 MI2019-47 pp.115-119 |
ET |
2019-03-15 13:45 |
Tokushima |
Naruto University of Education |
Web contents for active learning of bookkeeping with creating duality forms
-- -Development of teaching materials utilizing network- -- Tomohisa Mori (Matsushima H.S.), Osamu Akizuki (Miyagi Univ.) ET2018-92 |
In bookkeeping learning it is important to master the content of learning that carries out journals from transactions. L... [more] |
ET2018-92 pp.29-34 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 15:10 |
Kagoshima |
Kagoshima University |
Reenactments of game-play styles in VR through personal bots
-- Speculative visions for applications of attractiveness computing -- Taro Narahara (NJIT), Toshihiko Yamasaki (Univ. of Tokyo) IMQ2018-44 IE2018-128 MVE2018-75 |
Proposed educational modules demonstrate an AI’s ability to personalize things through re-enactments of robots assembled... [more] |
IMQ2018-44 IE2018-128 MVE2018-75 pp.127-130 |
SWIM |
2019-02-22 16:00 |
Tokyo |
Kikai-Shinko--Kaikan Bldg. |
[Keynote Address]
Attractiveness Computing based on Artificial Intelligence and Its Business Applications Toshihiko YamasakiI (The University of Tokyo) SWIM2018-26 |
"Making my presentation more impressive," "Creating image/video content that can resonate well with consumers," "Attract... [more] |
SWIM2018-26 p.31 |