Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Non-linear Embedded Feature Extraction Method using Comb-shaped Neural Network Akihito Sudo (UT), Tomoyuki Higuchi, Shin'ya Nakano, Masaya Saito (ISM), Takahiro Yabe, Yoshihide Sekimoto (UT) IBISML2016-1 |
Feature selection methods can be divided into three categories; wrapper methods, filter methods, and embedded methods. E... [more] |
IBISML2016-1 pp.127-131 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 16:00 |
Okinawa |
Okinawa Institute of Science and Technology |
A neuromarker of anxiety from whole-brain functional connectivity. Yu Takagi (NAIST/ATR), Yuki Sakai (Kyoto Pref. Univ. Med./ATR), Saori C. Tanaka (ATR) NC2016-6 |
There are times when an anxiety drives us to make an effort to achieve our goal and times when it may also harm our dail... [more] |
NC2016-6 pp.159-164 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 16:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Sparse Simultaneous Estimation of Phase Response Curves using Spike-Triggered Average Man Arakaki, Yasuhiko Igarashi (Univ. Tokyo), Toshiaki Omori (Kobe Univ.), Masato Okada (Univ. Tokyo/RIKEN) NC2016-7 |
Phase response curves (PRC) have been used extensively to estimate the response properties of neurons.
A recent measure... [more] |
NC2016-7 pp.165-170 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 16:50 |
Okinawa |
Okinawa Institute of Science and Technology |
Global structure of the clusters in local cortical circuit with receptive field correlation Kohei Watanabe (Osaka Univ.), Jun-nosuke Teramae, Naoki Wakamiya (Osaka Univ./CiNet) NC2016-8 |
Synaptic connections in local cortical circuit are highly heterogeneous and nonrandom. A few strong synaptic connections... [more] |
NC2016-8 pp.171-174 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 17:30 |
Okinawa |
Okinawa Institute of Science and Technology |
[Invited Talk]
Neural mechanisms of adaptive oculomotor control
-- from animal experiments, neuronal circuitry modeling, cerebellum-machine interface to robot control, sleepiness detection, and motor learning promotion -- Yutaka Hirata (Chubu Univ.) NC2016-9 |
[more] |
NC2016-9 p.175 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 10:00 |
Okinawa |
Okinawa Institute of Science and Technology |
A Supervised Learning Approach to Causal Inference for Bivariate Time Series Yoichi Chikahara, Akinori Fujino (NTT) IBISML2016-2 |
Causal inference in time series is a problem to estimate the underlying causal relationship between time-dependent varia... [more] |
IBISML2016-2 pp.189-194 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 10:25 |
Okinawa |
Okinawa Institute of Science and Technology |
A Semi-supervised Learning Method for Imbalanced Binary Classification Akinori Fujino, Naonori Ueda (NTT) IBISML2016-3 |
This paper presents a semi-supervised learning method for imbalanced binary classification where the number of positive ... [more] |
IBISML2016-3 pp.195-200 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 10:50 |
Okinawa |
Okinawa Institute of Science and Technology |
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling Atsushi Shibagaki, Masayuki Karasuyama (NIT), Kohei Hatano (Kyushu Univ.), Ichiro Takeuchi (NIT) IBISML2016-4 |
[more] |
IBISML2016-4 pp.201-208 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 11:15 |
Okinawa |
Okinawa Institute of Science and Technology |
Sparse cross-domain matching correlation analysis via L1 regularization Keisuke Kojima (Osaka Univ.), Kei Hirose (Kyushu Univ.), Hidetoshi Shimodaira (Osaka Univ.) IBISML2016-5 |
(To be available after the conference date) [more] |
IBISML2016-5 pp.209-215 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Roles of the cerebellum in predictive optokinetic response Shuntaro Miki (Chubu Univ.), Robert Baker (New York Univ.), Yutaka Hirata (Chubu Univ.) NC2016-10 |
[more] |
NC2016-10 pp.201-206 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Development of Oculofeedback system and Microsaccade feedback experiment Joshua Emoto, Yutaka Hirata (Chubu Univ.) NC2016-11 |
Biofeedback can modulate brain activities by feeding back biosignals to induce preferable human condition and behavior. ... [more] |
NC2016-11 pp.207-210 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:50 |
Okinawa |
Okinawa Institute of Science and Technology |
A model of human color vision for visibility prediction of color scheme Takuya Yoshioka, Yoshihisa Shinozawa (Keio Univ.) NC2016-12 |
We propose a model of human color vision for predicting the visibility of color schemes. We improve the multi-stage colo... [more] |
NC2016-12 pp.211-216 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 14:30 |
Okinawa |
Okinawa Institute of Science and Technology |
Computational study on the effect of modular topology on synchronized activity in neuronal networks Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.) NC2016-13 |
The mammalian brain is a complex system in which anatomical modules are integrated to function as a whole. In order to c... [more] |
NC2016-13 pp.217-222 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 14:55 |
Okinawa |
Okinawa Institute of Science and Technology |
Classification analysis of high-dimensional data based on L0-norm optimization. Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) NC2016-14 |
Advances in sensing devices allow us to measure high-dimensional data easily, but the sample size is often limited becau... [more] |
NC2016-14 pp.223-228 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 15:20 |
Okinawa |
Okinawa Institute of Science and Technology |
Feedforward supervised learning for deep neural networks with local competitiveness information Takashi Shinozaki (NICT) NC2016-15 |
This study proposes a novel supervised learning method for deep neural networks that uses feedforward supervisory signal... [more] |
NC2016-15 pp.229-234 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
A New Probabilistic Topic Model Based on Variable Bin Width Histogram Hideaki Kim, Tomoharu Iwata, Hiroshi Sawada (NTT) IBISML2016-6 |
Probabilistic topic models, as represented by latent Dirichlet allocation (LDA), have been widely used for analyzing not... [more] |
IBISML2016-6 pp.217-223 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Bandit Algorithm For k-Sets Based On Projection And Decomposition Ryohei Nagaura, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2016-7 |
(To be available after the conference date) [more] |
IBISML2016-7 pp.225-229 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 13:50 |
Okinawa |
Okinawa Institute of Science and Technology |
Factor Analysis of Time Series Data by Smoothing DTW Distance Kei Amii (Kyoto Univ.) IBISML2016-8 |
From a large database of time series, our goal is to extract a few factor time series (features). We propose a method to... [more] |
IBISML2016-8 pp.231-238 |