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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 80  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:15
Online Online Automatic Detection of Epileptic Abnormal EEG Using Deep Learning
Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] EA2020-62 SIP2020-93 SP2020-27
pp.15-20
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:40
Online Online Estimation of Imagined Rhythm and Its Active Area from Electroencephalogram Using Deep Learning
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2020-63 SIP2020-94 SP2020-28
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in an electroencephalogram (EE... [more] EA2020-63 SIP2020-94 SP2020-28
pp.21-26
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
14:30
Online Online Estimation of Attentional Direction using EEG during Simultaneous Presentation of Music from Two Sources
Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) EA2020-83 SIP2020-114 SP2020-48
People can pay selective attention to music or speech from various sounds. It has been reported that when multiple
beat... [more]
EA2020-83 SIP2020-114 SP2020-48
pp.140-145
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
14:55
Online Online Parameter estimation of an IIR sound correction system in a real environment
Kento Kudo, Shinichi Inoue, Toshihisa Tanaka (TUAT) EA2020-84 SIP2020-115 SP2020-49
When the acoustic equalizer is used as an equalizer for the reference system, it is necessary to measure the sound at ea... [more] EA2020-84 SIP2020-115 SP2020-49
pp.146-151
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
16:10
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
pp.164-169
SIP 2020-08-27
10:25
Online Online [Invited Talk] An informatics approach to neuromusicology
Toshihisa Tanaka (TUAT) SIP2020-28
 [more] SIP2020-28
p.7
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
10:30
Online Online Toward Estimation of Attentional Direction Using EEG Signals during Simultaneous Presentation of Two Types of Music
Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) SIP2020-9 BioX2020-9 IE2020-9 MI2020-9
People can pay selective attention to music or speech from various sounds.It has been reported that when multiple beat s... [more] SIP2020-9 BioX2020-9 IE2020-9 MI2020-9
pp.41-46
NC, MBE
(Joint)
2020-03-05
10:45
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
YuruGAN: Yuru-Charas Generated by Generative Adversarial Networks
Yuki Hagiwara, Toshihisa Tanaka (TUAT) NC2019-93
Yuru-chara is a mascot character created by local governments and companies for the purpose of publicizing information o... [more] NC2019-93
pp.101-106
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Comparison of Language Models for a Design of Reduced Phoneme Set
Shuji Komeiji, Toshihisa Tanaka (TUAT), Koichi Shinoda (titech) EA2019-152 SIP2019-154 SP2019-101
Language models for a design of reduced phoneme set are compared each other.
The reduction of the phoneme set improves ... [more]
EA2019-152 SIP2019-154 SP2019-101
pp.295-300
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Decoding of Non-Isochronous Rhythms Imagery from EEG Using Convolutional Neural Network
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2019-153 SIP2019-155 SP2019-102
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in electroencephalogram (EEG).... [more] EA2019-153 SIP2019-155 SP2019-102
pp.301-306
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] EEG-Based Estimation of Attentional Direction while Simultaneously Listening to Music and Speech
Ryosuke Matsui, Toshihisa Tanaka (TUAT) EA2019-155 SIP2019-157 SP2019-104
We can selectively focus our auditory attention to a particular speech or music.The function is called selective attenti... [more] EA2019-155 SIP2019-157 SP2019-104
pp.313-318
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Comparison of Neural Network Models for Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2019-156 SIP2019-158 SP2019-105
Epilepsy is a chronic brain disease, and the detection of abnormal waveforms by scalp electroencephalography (EEG) is an... [more] EA2019-156 SIP2019-158 SP2019-105
pp.319-323
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] EpiNet: Convolutional Neural Network for Epileptic Seizure Localization from Interictal Intracranial EEG
Kosuke Mori, Kosuke Fukumori, Toshihisa Tanaka (TUAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2019-157 SIP2019-159 SP2019-106
The electroencephalogram (EEG) recording is necessary for epileptic diagnosis. In particular, the intracranial EEG (iEEG... [more] EA2019-157 SIP2019-159 SP2019-106
pp.325-330
PRMU, MI, IPSJ-CVIM [detail] 2019-09-04
14:10
Okayama    [more]
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A Design of Reduced Phoneme Set Based on a Language Model
Shuji Komeiji, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2018-134 SIP2018-140 SP2018-96
A design of reduced phoneme set based on a language model is proposed. The reduction of the phoneme set improves discrim... [more] EA2018-134 SIP2018-140 SP2018-96
pp.205-210
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) EA2018-136 SIP2018-142 SP2018-98 Epilepsy is chronic brain disorder that affects 50 million people in the world. To diagnose epilepsy, specialists manual... [more] EA2018-136 SIP2018-142 SP2018-98
pp.217-222
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Epileptic Focus Detection from Interictal Electroencephalogram using RNN
Byambadorj Nyamradnaa, Kosuke Fukumori, Toshihisa Tanaka (TAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2018-138 SIP2018-144 SP2018-100
Epilepsy is a neurological disorder characterized by recurrent seizures. An option of treatment is surgical resection of... [more] EA2018-138 SIP2018-144 SP2018-100
pp.229-231
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Epileptic Spike Detection and Identification of Effective Frequency Band with Neural Networks
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2018-139 SIP2018-145 SP2018-101
Epilepsy is a complex neurological disorder and can lead to an adverse impact on an individual's cognitive functions.
I... [more]
EA2018-139 SIP2018-145 SP2018-101
pp.233-235
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Effect of Entrainment by Selective Attention to Music and Speech
Ryosuke Matsui, Toshihisa Tanaka (TUAT) EA2018-140 SIP2018-146 SP2018-102
The effect on cortical entrainment of selective attention to speech and music was investigated. With selective attention... [more] EA2018-140 SIP2018-146 SP2018-102
pp.237-242
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
14:45
Okinawa   Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression
Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka (TUAT) EA2017-135 SIP2017-144 SP2017-118
The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one o... [more] EA2017-135 SIP2017-144 SP2017-118
pp.185-190
 Results 1 - 20 of 80  /  [Next]  
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