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Committee Date Time Place Paper Title / Authors Abstract Paper #
ED, SDM, CPM 2021-05-27
Online Online Output Power Characterization of Flexible Thermoelectric Power Generators
Daiki Kansaku, Nobuhiro Kawase, Faizan Khan, PeriyanayagaKristy Arockiyasamy (Shizuoka Univ.), Toshitaka Yamakawa (Kumamoto Univ.), Kazushi Ikeda (NAIST), Yasuhiro Hayakawa, Kenji Murakami, Masaru Shimomura, Hiroya Ikeda (Shizuoka Univ.) ED2021-4 CPM2021-4 SDM2021-15
For using the environmental waste heat in our society, we have developed a high-efficiency flexible thermoelectric power... [more] ED2021-4 CPM2021-4 SDM2021-15
Online Online On decoding left-right movement intention of single arm from EEG
Mitsuhiko Inaba, Kazushi Ikeda (NAIST), Motoaki Kawanabe (ATR) NC2020-35
Brain-machine interface (BMI) is a technology that supports people by manipulating external devices using only changes i... [more] NC2020-35
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Estimation of Driver Behavior using Smart Device and Robust Time-Contrastive Learning
Takuma Kuroki (NAIST), Osamu Shouno (HRI-JP), Kazushi Ikeda, Junichiro Yoshimoto (NAIST) NC2019-79
 [more] NC2019-79
Okinawa Miyakojima Marine Terminal Multi-animal pose estimation from videos towards analysis of natural interaction behavior
Satoshi Murashige, Takatomi Kubo (NAIST), Miho Nagasawa, Takefumi Kikusui (Azabu Univ.), Kazushi Ikeda (NAIST) NC2019-58
The social behavior analysis of animals is performed in various research fields such as ethology, neuroscience, and phar... [more] NC2019-58
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
Okinawa Okinawa Institute of Science and Technology Gaze behavior analysis in source code comprehension through comparison with attention models
Kiyoka Ikea (Kyoto Women's Univ.), Takatomi Kubo, Yoshiharu Ikutani, Hideaki Hata, Nishanth Koganti, Takeshi Itoh, Kenichi Matsumoto (NAIST), Yuki Maruno (Kyoto Women's Univ.), Kazushi Ikeda (NAIST) NC2019-7
Many gaze behavior analyses have been conducted in order to clarify the programmers’ cognitive processes. However, there... [more] NC2019-7
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
Okinawa Okinawa Institute of Science and Technology Evaluation of Emotional Impact of Music Based on Sentiment Polarity of Lyrics and Heart Rate Variability Analysis
Marie Ohki, Takatomi Kubo (NAIST), Yuki Maruno (Kyoto Women's Univ.), Kouichi Fujiwara (Nagoya Univ.), Toshitaka Yamakawa (Kumamoto Univ.), Kazushi Ikeda (NAIST) NC2019-8
Music affects our emotion and causes a physiological change.
There are many studies that investigate emotional impact ... [more]
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
Okinawa Okinawa Institute of Science and Technology MCMC for Value-at-Risk estimation
Igor Zavialov, Kazushi Ikeda (NAIST) NC2019-11
Value-at-Risk models (VaR) are powerful tools for financial risk management and are widely used by regulating authoritie... [more] NC2019-11
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
Okinawa Okinawa Institute of Science and Technology Additive or Concatenating Skip-connections Overcome the Degradation Problem of the Classic Feedforward Neural Network
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-17 IBISML2019-15
The classic feedforward neural networks like the multilayer perceptron (MLP) degrades its empirical risk by training eve... [more] NC2019-17 IBISML2019-15
pp.75-80(NC), pp.97-102(IBISML)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
Okinawa Okinawa Institute of Science and Technology ResNet and Batch-normalization Improve Data Separation Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-18 IBISML2019-16
The skip-connection and the batch-normalization (BN) in ResNet enable an extreme deep neural network to be trained with ... [more] NC2019-18 IBISML2019-16
pp.81-86(NC), pp.103-108(IBISML)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
Okinawa Okinawa Institute of Science and Technology Theoretical Analysis of the Fixup Initialization for Fast Convergence and High Generalization Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-19 IBISML2019-17
The Fixup initialization is a new initialization method of ResNet for a fast convergence with a high learning rate of SG... [more] NC2019-19 IBISML2019-17
pp.87-92(NC), pp.109-114(IBISML)
SDM, ED, CPM 2019-05-17
Shizuoka Shizuoka Univ. (Hamamatsu) Characterization of flexible thermoelectric materials for wearable power generators
Hiroya Ikeda, Faizan Khan, Misa Ohkubo, Arockiyasamy Periyanayaga Kristy (Shizuoka Univ.), Toshitaka Yamakawa (Kumamoto Univ.), Kazushi Ikeda (NAIST), Masaru Shimomura, Kenji Murakami, Yasuhiro Hayakawa (Shizuoka Univ.), Faiz Salleh (Univ. Malaya), Yuhei Suzuki (Shizuoka Univ.) ED2019-23 CPM2019-14 SDM2019-21
We have measured the Seebeck coefficient of a carbon fabric (CAF) using a homemade measurement system for flexible therm... [more] ED2019-23 CPM2019-14 SDM2019-21
IBISML 2019-03-06
Tokyo RIKEN AIP Effects of Batch-normalization on Fisher Information Matrix of ResNet
Yasutaka Furusho, Kazushi Ikeda (NAIST) IBISML2018-110
ResNet have intensively been studied and many techniques have been used for better performance.
Batch-normalization (BN... [more]
IBISML 2019-03-06
Tokyo RIKEN AIP Wider neural networks with ReLU activation generalize better
Yasutaka Furusho, Kazushi Ikeda (NAIST) IBISML2018-111
Model size determination is important in machine learning since a larger model leads to overfitting, that is, a small tr... [more] IBISML2018-111
HCS 2018-03-14
Miyagi Research Institute of Electrical Communication, Tohoku University Affection on User's Empathy Caused by Text Content
Kazunori MAtsumoto, Kazushi Ikeda, Syunichi Tahara, Keiichirou Hoashi (KDDI Research Labs.) HCS2017-115
(To be available after the conference date) [more] HCS2017-115
DE 2017-06-23
Tokyo   Construction of Life Event Prediction Model using Tendency of Word Occurrence in User's Tweet History
Shun Abe (Osaka Univ.), Masumi Shirakawa (hapicom), Takahiro Hara (Osaka Univ.), Kazushi Ikeda, Keiichiro Hoashi (KDDI Research) DE2017-1
In this paper, we propose a method for constructing life event prediction models using the tendency of word occurrences ... [more] DE2017-1
HCS, HIP, HI-SIGCE [detail] 2017-05-17
Okinawa Okinawa Industry Support Center Estimation of hidden states for success and failure of consultation -- Time series analysis of interaction between two people --
Hidehito Honda, Ryosuke Hisamatsu (Univ. of Tokyo), Yoshimasa Ohmoto (Kyoto Univ.), Takatomi Kubo, Kazushi Ikeda (NAIST), Kazuhiro Ueda (Univ. of Tokyo) HCS2017-45 HIP2017-45
We examined how two people interacted with each other during travel consultation based on their verbal and nonverbal beh... [more] HCS2017-45 HIP2017-45
SP, SIP, EA 2017-03-02
Okinawa Okinawa Industry Support Center [Poster Presentation] Convergence rate analysis of stereo echo canceller with pre-processing units in both channels
Arata Honda, Kazushi Ikeda (NAIST) EA2016-122 SIP2016-177 SP2016-117
The convergence properties of stereo echo cancelers (SECs) with pre-processing were examined. SECs have a slow convergen... [more] EA2016-122 SIP2016-177 SP2016-117
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
Toyama   Applying Delaunay Space Division Method for Label Propagation Based Semi-Supervised Learning
Kazunori Matsumoto, Keiichiro Hoashi, Kazushi Ikeda (KDDI Labs.) PRMU2016-81 IBISML2016-36
 [more] PRMU2016-81 IBISML2016-36
Tokyo Tamagawa University A Prediction Method of Epileptic Seizure Using Synchronization Likelihood and Electrocorticography
Sho Akizawa, Takatomi Kubo, Kazushi Ikeda (NAIST) NC2015-102
Epilepsy is a neurological disorder that causes sudden recurrent seizures such as convulsion, loss of conisousness, etc.... [more] NC2015-102
Fukuoka Kyushu Institute of Technology Statistical Mechanics of Perceptron Learning with Noisy Teacher
Arata Honda, Kazushi Ikeda (NAIST) NC2015-65
Learning curves of simple perceptron were derived here. They have been analyzed for half a century and the learning curv... [more] NC2015-65
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