Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCS |
2024-03-02 12:05 |
Shizuoka |
Tokoha University(Shizuoka-Kusanagi Campus) |
Estimation of willingness to participate in other's conversation by using deep learning of facial expression measurements Kohei Yamamoto, Jiro Okuda (Kyoto Sangyo Univ.) HCS2023-92 |
In recent years, there has been much interest in developing agents that can join conversations among multiple people and... [more] |
HCS2023-92 pp.25-30 |
ET |
2024-01-20 15:55 |
Kyoto |
Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] |
ET2023-51 pp.38-44 |
ET |
2023-11-11 09:10 |
Kagawa |
Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Joint Generation of Questions and Reference Answers for Reading Comprehension with Difficulty-Controllability Teruyoshi Goto, Yuto Tomikawa, Masaki Uto (UEC) ET2023-24 |
Recently, deep learning techniques have been employed to automatically generate reading comprehension questions tailored... [more] |
ET2023-24 pp.1-7 |
EMD, WPT, EMCJ, PEM (Joint) |
2022-07-15 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Prediction of E-field Distribution in Indoor Environments Using Deep Learning Technique Liu Sen, Onishi Teruo, Taki Masao, Watanabe Soichi (NICT) EMCJ2022-34 |
As one of the important aspects of monitoring electromagnetic field (EMF) exposure levels, comprehensively grasping the ... [more] |
EMCJ2022-34 pp.1-5 |
AI |
2022-07-04 16:50 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
A generative model for generation of playable levels in 2D video games. Soichiro Takata, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-16 |
(To be available after the conference date) [more] |
AI2022-16 pp.82-87 |
EMM |
2022-03-07 17:00 |
Online |
(Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
Extention of robust image classification system with Adversarial Example Detectors Miki Tanaka, Takayuki Osakabe, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-105 |
In image classification with deep learning, there is a risk that an attacker can intentionally manipulate the prediction... [more] |
EMM2021-105 pp.76-80 |
ET |
2021-09-10 13:15 |
Online |
Online |
Predicting Code Reading Test Answers by Using Eye Movement Features YUE YAN, Minoru Nakayama (Tokyo Tech) ET2021-11 |
Code reading comprehension progress has been shown to distribute in the eye movement data, which makes predict the code ... [more] |
ET2021-11 pp.17-22 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 16:40 |
Online |
Online |
A note on improvement of image sentiment analysis based on introduction of image captioning Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] |
|
BioX |
2020-11-25 11:10 |
Online |
Online |
GAN based feature-level supportive method for improved adversarial attacks on face recognition Zhengwei Yin (USTC/Hosei Univ.), Kaoru Uchida (Hosei Univ.) BioX2020-35 |
With the rapid development of deep neural networks (DNN), DNN-based face recognition technologies are also achieving gre... [more] |
BioX2020-35 pp.1-6 |
EA, SIP, SP |
2019-03-14 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Voice activity detection under high levels of noise using gated convolutional neural networks Li Li, Koshino Yuki, Matsumoto Mitsuo, Makino Shoji (Univ. Tsukuba) EA2018-102 SIP2018-108 SP2018-64 |
This paper deals with voice activity detection (VAD) tasks under high-level noise environments where signal-to-noise rat... [more] |
EA2018-102 SIP2018-108 SP2018-64 pp.19-24 |
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
- Naoto Kato, Michiko inoue, Shiraiwa Aya, Masashi Nishiyama, Yoshio Iwai (Tottori Univ) |
We investigate recognition performance between people and deep learning techniques using a simple task of visual inspect... [more] |
|
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 14:10 |
Okinawa |
Okinawa Industry Support Center |
Carbohydrate Counting from Food Images Hibiki Ikeda, Kyoko Sudo (Toho Univ.), Shigeko Kimura, Kayo Waki (Tokyo Univ.) IMQ2017-34 IE2017-126 MVE2017-76 |
Type 1 diabetes patients, whoes body doesn't produce enough inslin to control their blood glucose levels,
estimate th... [more] |
IMQ2017-34 IE2017-126 MVE2017-76 pp.53-57 |
MBE, NC (Joint) |
2017-03-14 14:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Discrimination of drowsiness level based on facial skin thermogram using CNN Hiroko Adachi, Kosuke Oiwa, Akio Nozawa (AGU) MBE2016-99 |
The relation between drowsiness and facial expression can be classified into five levels according to NEDO method which ... [more] |
MBE2016-99 pp.83-86 |
SP, IPSJ-SLP (Joint) |
2016-07-28 14:00 |
Yamagata |
Takinoyu Hotel |
Evaluation of Japanese English DNN Acoustic Models with English Level Yuta Kawachi, Hirokazu Masataki, Taichi Asami, Yushi Aono (NTT) SP2016-20 |
In this paper, we propose an acoustic model that takes into consideration foreign language fluency level by extracting a... [more] |
SP2016-20 pp.1-6 |
CPM, ED, SDM |
2014-05-29 13:20 |
Aichi |
|
Deep levels near the valence band in p-type 4H-SiC epilayers with various Al concentrations Hiroki Nakane, Masashi Kato, Masaya Ichimura (NIT) ED2014-38 CPM2014-21 SDM2014-36 |
Understanding of the deep level is essential to control the carrier lifetime for ultrahigh-voltage SiC bipolar devices. ... [more] |
ED2014-38 CPM2014-21 SDM2014-36 pp.101-104 |
ED, SDM, CPM |
2012-05-18 11:15 |
Aichi |
VBL, Toyohashi Univ. of Technol. |
Characterization of recombination centers in p-type 4H-SiC induced by low-energy electron irradiation Kazuki Yoshihara, Masashi Kato, Masaya Ichimura (NIT), Tomoaki Hatayama (NAIST), Takeshi Ohshima (JAEA) ED2012-31 CPM2012-15 SDM2012-33 |
Silicon carbide (SiC) is a promising material for high power devices with low energy loss. However we have never complet... [more] |
ED2012-31 CPM2012-15 SDM2012-33 pp.67-72 |
ED, SDM |
2010-07-02 10:50 |
Tokyo |
Tokyo Inst. of Tech. Ookayama Campus |
Characterization of deep electron levels of AlGaN grown by MOVPE Kimihito Ooyama (Hokkaido Univ./SMM), Katsuya Sugawara (Hokkaido Univ.), Hiroyuki Taketomi, Hideto Miyake, Kazumasa Hiramatsu (Mie Univ.), Tamotsu Hashizume (Hokkaido Univ./JST) ED2010-107 SDM2010-108 |
Deep electronic levels of Al_xGa_{1-x}N (0.25 <x < 0.60) were investigated by using deep level transient spectroscopy (D... [more] |
ED2010-107 SDM2010-108 pp.249-252 |
CPM, ED, SDM |
2008-05-16 15:30 |
Aichi |
Nagoya Institute of Technology |
Characterization of deep levels in undoped 6H-SiC by Current Deep-Level Transient Spectroscopy method Kosuke Kito, Masashi Kato, Masaya Ichimura (Nagoya Inst. of Tech) ED2008-21 CPM2008-29 SDM2008-41 |
We characterized deep levels that influence a semi-insulating property by current-voltage, capacitance-voltage and curre... [more] |
ED2008-21 CPM2008-29 SDM2008-41 pp.101-106 |