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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-03 09:41 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A preliminary study on deep causal discovery model for image classification Ryohei Motoda, Megumi Nakao (Kyoto Univ.)  MI2023-33 |
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] | MI2023-33 pp.11-14 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
A method for visualizing causal relationships between topics in news articles to grasp their changes over time Koki Sugihara, Reon Hata, Mitsunori Matsushita (Kandai Univ.) |
News reported over a long period undergoes various changes, making it difficult for users who begin reading it later to ... [more] | |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Feature selection in prediction model by LiNGAM Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) NC2022-17 IBISML2022-17 |
To improve the accuracy of machine learning models, it is important to perform feature engineering based on the features... [more] | NC2022-17 IBISML2022-17 pp.123-128 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search Kota Misaki, Shin Matsushima (UTokyo) NC2022-20 IBISML2022-20 |
There is a high demand for understanding causal relationships among multiple factors in the social and natural sciences.... [more] | NC2022-20 IBISML2022-20 pp.143-148 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) NC2022-21 IBISML2022-21 |
Inference on the causal structure among random variables from only a finite number of observed data is one of the most i... [more] | NC2022-21 IBISML2022-21 pp.149-155 |
| IN | 2022-01-18 13:00 |
Online | Online | Proposal of a Twitter account usefulness judgment system for job hunting measures for students Yuasa Takeo, Kunieda Yoshitoshi (Ritsumeikan Univ.) IN2021-26 |
With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who ... [more] | IN2021-26 pp.13-18 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Proposal of classification method based on the usefulness of Twitter account in student job hunting Yuasa Takeo, Kunieda Yositosi (Ritsumeikan Univ) |
With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who ... [more] | |
| NLC | 2021-09-16 10:00 |
Online | Online | A causal relation extraction among distant texts using deep learning Pengju Gao, Tomohiro Yamasaki, Masahiro Ito (TOSHIBA) NLC2021-8 |
Most of the Existing methods for causal relationship extraction utilize patterns such as clue expressions, but it is dif... [more] | NLC2021-8 pp.11-16 |
| MSS, NLP (Joint) |
2020-03-10 13:30 |
Aichi | (Cancelled but technical report was issued) |
Influence of Resolution of Time Series Data on Causality Detection Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2019-128 |
In this report, we investigated the influence of resolution of time series data on causality detection by Convergent C... [more] |
NLP2019-128 pp.89-94 |
| CAS, NLP | 2018-10-18 14:15 |
Miyagi | Tohoku Univ. | Estimation accuracy of causal relation on difference in network structures Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CAS2018-43 NLP2018-78 |
In this paper, we applied Convergent Cross Mapping to estimate causal relations between multiple timeseries. We used a c... [more] | CAS2018-43 NLP2018-78 pp.33-38 |
| ET | 2017-10-21 11:10 |
Fukuoka | Kyusyu Institute of Technology (Tobata Campus) | Relationship between student's characteristics and their reflections through a fully online course Minoru Nakayama (Tokyo Tech.), Kouichi Mutsuura, Hiroh Yamamoto (Shinshu Univ.) ET2017-43 |
Participant's emotional factors for a fully online course were measured twice during course using some survey metrics ... [more] |
ET2017-43 pp.15-20 |
| WIT, IPSJ-AAC | 2017-03-10 09:55 |
Ibaraki | Tsukuba University of Technology (Kasuga Campus) | A Trial of Comminication Based on Changes in Fuctuations in Regional Cerebral Blood Volume Naoki Tanaka, Naoka Mahara, Kuniaki Ozawa, Masayoshi Naito (Toyo Univ.) WIT2016-77 |
The possibility of communication based on changes in relationship between fluctuations in cerebral blood volume (CBV) an... [more] | WIT2016-77 pp.5-8 |
| MSS, SS | 2017-01-26 10:00 |
Kyoto | Kyoto Institute of Technology | Analysis on effort datasets by causal-effect relationship using LiNGAM Masanari Kondo, Osamu Mizuno (Kyoto Inst. Tech.) MSS2016-57 SS2016-36 |
The effort estimation is an important task in the software development. Previous research works proposed models using m... [more] | MSS2016-57 SS2016-36 pp.1-6 |
| ET | 2016-07-09 16:05 |
Miyagi | Tohoku Gakuin University | Student's reflection changes with note-taking instruction through a blended learning course Minoru Nakayama (Tokyo Tech.), Kouichi Mutsuura, Hiroh Yamamoto (Shinshu Univ.) ET2016-30 |
The impact of lecturer's instructions on note-taking activities for student's self efficacy and their reflection was a... [more] |
ET2016-30 pp.49-54 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-06 10:00 |
Okinawa | Okinawa Institute of Science and Technology | A Supervised Learning Approach to Causal Inference for Bivariate Time Series Yoichi Chikahara, Akinori Fujino (NTT) IBISML2016-2 |
Causal inference in time series is a problem to estimate the underlying causal relationship between time-dependent varia... [more] | IBISML2016-2 pp.189-194 |
| ET | 2016-03-05 17:50 |
Kagawa | Kawaga Univ. (Saiwai-cho Campus) | Evaluation of Understanding Support System for Causal Relationship in Historical Learning Fumito Nate (Kansai Univ.), Keitaro Tokutake (Hiroo Gakuen), Tomoko Kojiri (Kansai Univ.) ET2015-147 |
The purpose of this study is to support understanding of causal relationship between historical events. When two events ... [more] | ET2015-147 pp.303-308 |
| HCS | 2016-01-23 11:00 |
Nara | Yamato Kaigishitsu | The Causal Relationship between College Students' Media Usage and their Internet Literacy
-- A Longitudinal Study -- Shaoyu Ye, Atsushi Toshimori (Univ. of Tsukuba), Tatsuya Horita (Tohoku Univ.) HCS2015-72 |
This study aims to investigate the causalities between college students’ media usage and their Internet literacy, includ... [more] | HCS2015-72 pp.79-84 |
| ET | 2015-10-31 15:10 |
Oita | Nippon Bunri Univ. (Yufuin Training Institute) | Causal Map Generation with Pseudo-Haptic Feedback for Learning Historical Events Takumi Horiguchi, Akihiro Kashihara (UEC) ET2015-50 |
In learning history, it is important to understand causal relationships among historical events and a chain of the relat... [more] | ET2015-50 pp.37-42 |
| SSS | 2015-10-20 17:10 |
Tokyo | [Invited Talk]
Proof of causal relationship and relief of sufferers
-- the problem of low-frequency noise from heat pump type water heaters for home use -- Ryo Shimizu (UT) SSS2015-18 |
The report concerned with the problem of low-frequency noise from heat pump type water heaters for home use was submitte... [more] | SSS2015-18 pp.25-28 |
|
| ET | 2015-07-04 11:00 |
Hokkaido | Hokkaido Univ. of Education (Sapporo Station Satellite) | Relationship between student's reflection and their note-taking activities in a blended learning Minoru Nakayama (Tokyo Tech), Kouichi Mutsuura, Hiroh Yamamoto (Shinshu Univ.) ET2015-24 |
Effectiveness of note-taking activities for student's reflection was determined using lexical analysis of their note c... [more] |
ET2015-24 pp.7-12 |
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