Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2019/06/17)

Presentation
Analysis and application of periodic orbits in dynamic binary neural networks

Shota Anzai(HU),  Seitaro Koyama(HU),  Toshimichi Saito(HU),  

[Date]2019-06-17
[Paper #]NC2019-1
Analysis of periodic orbits in digital maps by a self-organizaition synthesis method

Yuya Sawano(HU),  Toshimichi Saito(HU),  

[Date]2019-06-17
[Paper #]NC2019-2
Predicting Demographic Attributes for Individual Viewing Behavior

Yusuke Kumagae(Hakuhodo),  Ryoma Yasunaga(Hakuhodo),  Ryo Fujii(Hakuhodo),  Ryo Domoto(Hakuhodo),  

[Date]2019-06-17
[Paper #]IBISML2019-10
Imputation of Missing Time-Series Multimodal Data with Variational Autoencoder

Ryoichi Kojima(KDDI Research),  Shinya Wada(KDDI Research),  Kiyohito Yoshihara(KDDI Research),  

[Date]2019-06-17
[Paper #]IBISML2019-8
Small-workd networks enhance the inter-brain synchronization

Kentaro Suzuki(Osaka Univ.),  Jihoon Park(Osaka Univ.),  Yuji Kawai(Osaka Univ.),  Minoru Asada(Osaka Univ.),  

[Date]2019-06-17
[Paper #]NC2019-3
Evaluation of relationship between EEG and visual field characteristics in visual cognition

Tatsuya Maruno(Chubu Univ),  Kota Yamamoto(Chubu Univ),  Keiichiro Inagaki(Chubu Univ),  

[Date]2019-06-17
[Paper #]NC2019-6
An exploratory study on morphological features of brain MRI relevant to subtypes of psychiatric depression

Midori Sakai(NAIST),  Masahiro Takamura(Hiroshima University),  Naho Ichikawa(Hiroshima University),  Alan Fermin(Hiroshima University),  Go Okada(Hiroshima University),  Yasumasa Okamoto(Hiroshima University),  Shigeto Yamawaki(Hiroshima University),  Yuki Maruno(Kyoto Women's University),  Takashi Nakano(NAIST),  Junichiro Yoshimoto(NAIST),  

[Date]2019-06-17
[Paper #]NC2019-9
A Comparison of Surrogate Models in Bayesian Optimization

Sho Shimoyama(Meiji Univ.),  Masahiro Nomura(CA),  

[Date]2019-06-17
[Paper #]IBISML2019-7
Adversarial Day-to-Night Conversion Supporting Object Detection for Autonomous Driving

Kazuki Fujioka(Kobe Univ.),  Takashi Machida(Toyota CRDL),  Takashi Matsubara(Kobe Univ.),  Kuniaki Uehara(Kobe Univ.),  

[Date]2019-06-17
[Paper #]IBISML2019-2
Aleatoric Uncertainty-Aware Score for Deep Unsupervised Anomaly Segmentation

Kazuki Sato(Kobe Univ.),  Kenta Hama(Kobe Univ.),  Takashi Matsubara(Kobe Univ.),  Kuniaki Uehara(Kobe Univ.),  

[Date]2019-06-17
[Paper #]IBISML2019-3
Mental Disorder Diagnosis Based on fMRI Images by Deep Privileged Attribute Model

Koki Kusano(Kobe Univ.),  Tetsuo Tashiro(Kobe Univ.),  Takashi Matsubara(Kobe Univ.),  Kuniaki Uehara(Kobe Univ.),  

[Date]2019-06-17
[Paper #]NC2019-12
A model selection criterion for LASSO estimate with scaling

Katsuyuki Hagiwara(Mie Univ.),  

[Date]2019-06-17
[Paper #]IBISML2019-5
Adaptive Discretization based Predictive Sequence Mining for Continuous Time Series

Yoshikazu Shibahara(NIT),  Takuto Sakuma(NIT),  Ichiro Takeuchi(NIT/RIKEN/NIMS),  Masayuki Karasuyama(NIT/NIMS),  

[Date]2019-06-17
[Paper #]IBISML2019-9
MCMC for Value-at-Risk estimation

Igor Zavialov(NAIST),  Kazushi Ikeda(NAIST),  

[Date]2019-06-17
[Paper #]NC2019-11
Evaluation of Emotional Impact of Music Based on Sentiment Polarity of Lyrics and Heart Rate Variability Analysis

Marie Ohki(NAIST),  Takatomi Kubo(NAIST),  Yuki Maruno(Kyoto Women's Univ.),  Kouichi Fujiwara(Nagoya Univ.),  Toshitaka Yamakawa(Kumamoto Univ.),  Kazushi Ikeda(NAIST),  

[Date]2019-06-17
[Paper #]NC2019-8
Gaze behavior analysis in source code comprehension through comparison with attention models

Kiyoka Ikea(Kyoto Women's Univ.),  Takatomi Kubo(NAIST),  Yoshiharu Ikutani(NAIST),  Hideaki Hata(NAIST),  Nishanth Koganti(NAIST),  Takeshi Itoh(NAIST),  Kenichi Matsumoto(NAIST),  Yuki Maruno(Kyoto Women's Univ.),  Kazushi Ikeda(NAIST),  

[Date]2019-06-17
[Paper #]NC2019-7
Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task

Kenta Hama(Kobe Univ.),  Takashi Matsubara(Kobe Univ.),  Kuniaki Uehara(Kobe Univ.),  

[Date]2019-06-17
[Paper #]IBISML2019-1
Optimal Estimating the Number of Change Points for Sources with Piecewise Constant parameters under Bayesian Criterion

Kairi Suzuki(Waseda Univ.),  Akira Kamatsuka(Waseda Univ.),  Toshiyasu Matsushima(Waseda Univ.),  

[Date]2019-06-17
[Paper #]IBISML2019-6
Effects of excitatory/inhibitory balance of a spiking neuron model on the organization of neural network

Jihoon Park(Osaka Univ.),  Motohiro Ogura(Osaka Univ.),  Yuji Kawai(Osaka Univ.),  Minoru Asada(Osaka Univ.),  

[Date]2019-06-17
[Paper #]NC2019-4
Embedded AI implementation

Tadaaki Shiraishi(MMS),  Koji Kinoshita(Ehime Univ),  

[Date]2019-06-17
[Paper #]NC2019-10
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