Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:15 |
Online |
Online |
Quantitative Evaluation of the Effects of Quarantine of Infected Person Using Mathematical Models of Infectious Diseases Ayumi Manabe, Kazuya Sawada, Nanfu Miya, Tohru Ikeguchi (TUS) CAS2020-14 NLP2020-35 |
In 2020, COVID-19 has become a global pandemic and is still spreading.
One of the reason why COVID-19 spreads widely is... [more] |
CAS2020-14 NLP2020-35 pp.15-20 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:50 |
Online |
Online |
statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18 |
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] |
NC2020-18 pp.50-55 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 11:15 |
Online |
Online |
Accuracy Improvement of Deep Metric Learning by using Dynamic Scaling Parameter in Softmax Function Keiju Sato (UTokyo), Tsutomu Ikegami (AIST), Keisuke Fujimoto (ABEJA), Tomohiro Kudoh (UTokyo) NC2020-19 |
(To be available after the conference date) [more] |
NC2020-19 pp.56-61 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 11:40 |
Online |
Online |
sequential information processing by a neural network with multiple timescales Tomoki Kurikawa (Kansai Medical Univ.) NC2020-20 |
In neural system in mammal, sequential patterns of neural activities are often observed in a range of cortical areas. In... [more] |
NC2020-20 pp.62-65 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 12:05 |
Online |
Online |
The effect of epistemic curiosity on improving the game Tomohiko Kimura (NAIST), Shogo Kajimura (KIT) NC2020-21 |
Psychological research on curiosity, which began in the latter half of the 19th century, became popular in the 20th cent... [more] |
NC2020-21 pp.66-71 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 13:30 |
Online |
Online |
On parameter identifications of Higher-Order IIR adaptive filters by using discrete chaotic systems Yutaro Arai, Yasunori Sugita, Tadashi Tsubone (NUT) CAS2020-15 NLP2020-36 |
Since the structure of the error function is often multimodal, in case of a strategy that minimizes the error function i... [more] |
CAS2020-15 NLP2020-36 pp.21-24 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 13:55 |
Online |
Online |
A Method for Computation of Global Isochrones of Oscillators Yoshihiro Mori (KIT), Yasuaki Kuroe (KIT/Kansai Univ.) CAS2020-16 NLP2020-37 |
There are periodic phenomena in a range of fields. Circadian rhythm is an example of them in organisms. Phase shift for ... [more] |
CAS2020-16 NLP2020-37 pp.25-28 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 14:20 |
Online |
Online |
Application of Circuit Theory to Variational Calculus Used in Analysis of Maxwell Equations Nobuo Nagai (Hokkaido Univ.), Hirofumi Sanada (HUS), Takashi Yahagi (risp) CAS2020-17 NLP2020-38 |
[more] |
CAS2020-17 NLP2020-38 pp.29-34 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 14:45 |
Online |
Online |
A study on analytical solutions of multi-stage wideband LC matching circuits Satoshi Tanaka (Murata) CAS2020-18 NLP2020-39 |
As mobile phones progress in the third, fourth, and fifth generations, the frequency bands used in mobile phones have in... [more] |
CAS2020-18 NLP2020-39 pp.35-40 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 15:20 |
Online |
Online |
Fusion of feature extraction and reinforcement learning for Dynamic Q-Network Taishi Komatsu, Yukari Yamauchi (NU) NC2020-22 |
[more] |
NC2020-22 pp.72-76 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 15:45 |
Online |
Online |
A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2020-23 |
Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model... [more] |
NC2020-23 pp.77-82 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 16:10 |
Online |
Online |
Solving the Parity Problem by Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-24 |
In recent years, the technology of particle swarm optimization is expanding remarkably. Especially, the technical develo... [more] |
NC2020-24 pp.83-88 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 16:45 |
Online |
Online |
Detecting task-relevant spatiotemporal modules and their adaptation-dependent modulations Masato Inoue, Daisuke Furuki, Ken Takiyama (TUAT) NC2020-25 |
It is still unclear how the central nervous system (CNS) controls our bodies. A hypothesis about neural control is that ... [more] |
NC2020-25 pp.89-94 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 17:10 |
Online |
Online |
A Study on the Effects of Neurofeedback Training for Motor Imagery
-- A New Neurofeedback based on Riemannian Geometry -- Ruopeng Wang (Nagoya Univ.), Tomohiro Yoshikawa (SUMS) NC2020-26 |
Motor Imagery, which is a mental simulation of a kinesthetic movement, can also modulate mu rhythm activities in the sen... [more] |
NC2020-26 pp.95-99 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 17:35 |
Online |
Online |
Hyperbolic Space Embedding for Open Set Recognition Shota Tatarai (Senshu Univ.), Yuta Ashihara (Nihon Univ/Glia Computing Co.,Ltd.), Kenji Aoki (Glia Computing Co.,Ltd.), Masahiko Osaawa (Nihon Univ./Senshu Univ.) NC2020-27 |
Many of deep learning algorithms perform well when the training and testing data are sampled from the
same class space.... [more] |
NC2020-27 pp.100-105 |