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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2019-02-22 15:10 |
Tokyo | Active Inference of Variable Labels Using Annotation to Some Variable Labels in Data Jackets Hiroo Iwanaga (UTokyo/NTT DATA MSI), Teruaki Hayashi, Yukio Ohsawa (UTokyo)  AI2018-44 |
Data Jacket (DJ) is a framework for sharing summaries of the data and encouraging collaboration and utilization of data ... [more] | AI2018-44 pp.39-44 |
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| ET | 2019-01-26 10:10 |
Osaka | Umeda Campus, Kansai University | On the agent character function of the audience response system module Toshikazu Iitaka (Kumamoto Gakuen Univ.) ET2018-77 |
I have developed a module for interactive learning which allows students to submit comments during lectures real time. A... [more] | ET2018-77 pp.1-6 |
| ET | 2018-11-10 14:25 |
Tokyo | Tokyo Polytechnic University | Interactive Environment for Programming Learning connecting Japanese and C Language Soichiro Nishimura, Aya Hanada, Megumi Kurayama (NIC, Hakodate Col.) ET2018-60 |
In recent years, the demand the demand for C language programming technicians is increasing. However, it is very difficu... [more] | ET2018-60 pp.39-42 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Active learning for identifying local minimum points based on the derivative of Gaussian process Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS) IBISML2018-94 |
In many fields such as materials science, knowing local minimum points of unknown functions is important for understand... [more] | IBISML2018-94 pp.373-380 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Active Learning in Sparse Linear Regression Models via Selective Inference Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN) IBISML2018-95 |
In order to efficiently estimate interested parameter, one can design sampling strategy by defining some criterion on th... [more] | IBISML2018-95 pp.381-388 |
| ET | 2018-10-20 15:30 |
Fukuoka | Fukuoka Institute of Technology | Measurement of Students' Mental-state in Class through Objective Biometrics and Subjective Questionnaire Yuki Tanaka, Keisuke Uenishi (Osaka Univ.) ET2018-50 |
In educational sites like school, Active Learning is introduced to class to facilitate students' learning. However, the... [more] |
ET2018-50 pp.71-76 |
| SR | 2018-05-24 15:05 |
Tokyo | Tokyo big sight | A Study of Proactive Beam Forming Control using Machine Learning for 5G Mobile Communication System Takashi Seyama, Teppei Oyama, Takashi Dateki (Fujitsu Lab.) SR2018-7 |
In fifth generation mobile communication systems, beam forming have been studied in order to compensate increase of path... [more] | SR2018-7 pp.43-48 |
| ET | 2018-05-19 12:10 |
Kanagawa | National Institute of Special Needs Education | The proposal of interactive digital picture book system named IO∃K Saya Fujino, Naoki Mori, Keinosuke Matsumoto (OPU) ET2018-7 |
Understanding human emotion and "Kansei" is one of the most interesting and important issues in the artificial intellige... [more] | ET2018-7 pp.35-41 |
| ET | 2018-03-03 12:30 |
Kochi | Kochi University of Technology (Eikokuji Campus) | A Classification of Seminar Style based on a Questionnaire Survey Akiko Hosaka (Waseda Univ.), Ryo Kinoshita (Univ. of Electro Communication), Masanori Yatagai (Kyoritsu Women's Univ.), Yusuke Kometani (Kagawa Univ.), Keizo Nagaoka (Waseda Univ.) ET2017-93 |
In recent years，higher educational effects are expected for seminar activities as a place of active learning in undergra... [more] | ET2017-93 pp.25-28 |
| ET | 2018-03-03 12:50 |
Kochi | Kochi University of Technology (Eikokuji Campus) | Influence of Seminar Style on Formation of a Sense of Community Mizuki Morishita (Waseda Univ.), Yusuke Kometani (Kagawa Univ.), Masanori Yatagai (Kyoritsu Women's Univ.), Ryo Kinoshita (Univ. of Electro Communication), Keizo Nagaoka (Waseda Univ.) ET2017-94 |
In recent years, higher educational effects are expected for seminar activities as a place of active learning in undergr... [more] | ET2017-94 pp.29-34 |
| MoNA | 2018-01-19 13:30 |
Kyoto | Campus Plaza Kyoto | Priority Control in Communication Networks for Predictive Information Delivery by Using Machine Learning Shingo Kato, Ryoichi Shinkuma (Kyoto Univ.) MoNA2017-54 |
Delivering real-time road-traffic information to the driver is a straightforward solution to the problem of road traffic... [more] | MoNA2017-54 pp.73-78 |
| CAS, MSS, IPSJ-AL [detail] | 2017-11-16 15:15 |
Tokyo | An Effectiveness on a Fieldwork with Smart Voice Messaging system Masanori Okada (Kanazawa Gakuin Univ.), Naoshi Uchihira, Kunihiko Hiraishi, Susumu Kunifuji (JAIST) CAS2017-46 MSS2017-30 |
In a field of region revival activity, it is necessary to work and solve it with a university,NPO and locals including a... [more] | CAS2017-46 MSS2017-30 pp.41-44 |
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| ET | 2017-11-11 14:10 |
Tokyo | Sophia Univ. | Educational Practice Report using Tangible Experimental Toolkit for beginners Ayano Oda, Takumi Nishizawa, Koji Yamada, Toru Takahashi (Osaka Sangyo Univ.) ET2017-59 |
In this report, we investigate a difference of effectiveness of our educational tools caused by student’s motivation. Th... [more] | ET2017-59 pp.35-40 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Correcting selection bias in active learning based on selective inference framework Yu Inatsu (RIKEN), Ichiro Takeuchi (Nitech/RIKEN/NIMS) IBISML2017-74 |
Consider the active learning that constructs regression model from given data and actually observes the value at the po... [more] | IBISML2017-74 pp.289-296 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Active Learning based on Submodular Optimization Considering Label Expansion Masanari Kimura, Kei Wakabayashi (Tsukuba Univ.) IBISML2017-84 |
The goal of general active learning is to select data that can achieve the construction of the highest performance class... [more] | IBISML2017-84 pp.355-360 |
| EMM | 2017-11-07 11:00 |
Kagoshima | Kagoshima Univ. (Inamori Academy) | [Invited Talk]
Researches on Impressiveness Multimedia Contents
-- Attractiveness Computing using Big Multimedia Data -- Toshihiko Yamasaki (UTokyo) EMM2017-63 |
Due to the advancement in machine learning and pattern recognition technologies such as deep neural networks, recognitio... [more] | EMM2017-63 p.45 |
| ET | 2017-06-10 13:10 |
Shizuoka | Shizuoka Univ. (Hamamatsu) | Practical Education by using Tangible Experimental Toolkit for Teenagers Ayano Oda, Takumi Nishizawa, Koji Yamada, Toru Takahashi (OSU) ET2017-12 |
This report shows the result of conducting lessons using IT-inspired educational tool kit for IT primary scholars and v... [more] | ET2017-12 pp.1-6 |
| HCS | 2017-03-16 11:40 |
Miyagi | Correspondence between tags assigned via microcounseling and the listening assessment of evaluators as determined by the EMOtional MOvement Observation system (EMO system) Ryoko Hanada (Tokyo Woman's Christian Univ.), Toshio Irino (Wakayama Univ.), Nobuhiro Furuyama (Waseda Univ.), Masashi Inoue (Yamagata Univ.), Ryutaro Nakajima (The Univ. of Tokyo) HCS2016-110 |
In the present study, basic data were obtained for the development of listening-based learning support, with the aim of ... [more] | HCS2016-110 pp.113-118 |
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| ET | 2017-03-10 14:25 |
Ehime | National Institute of Technology, Niihama College | Practical Education of Smartphone Application Development Utilizing Industry-Government-Academia Collaboration Toshihiro Tachibana (Shonan Institute of Tech.) ET2016-116 |
Department of applied computer sciences are educating project-based learning "Team Project Learning" (TPL) as a characte... [more] | ET2016-116 pp.129-132 |
| ET | 2017-03-10 15:05 |
Ehime | National Institute of Technology, Niihama College | An analysis on comment function of Audience Response System (ARS) module.
-- The Format of Technical -- Toshikazu Iitaka (Kumamotogakuen Univ.) ET2016-117 |
This paper introduces the comment function of the ARS module which has been developed before. Then the effect of the fun... [more] | ET2016-117 pp.133-138 |
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