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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2021-03-03
09:00
Online Online Control Costs for Brain State Transitions in Stochastic Neural Systems
Shunsuke Kamiya (The Univ. of Tokyo), Genji Kawakita (Swarthmore Coll.), Shuntaro Sasai (Araya Inc.), Jun Kitazono, Masafumi Oizumi (The Univ. of Tokyo)
 [more]
NC, MBE
(Joint)
2021-03-03
09:25
Online Online Network cores of the human functional connectome
Tomoya Taguchi, Jun Kitazono (Univ. of Tokyo), Shuntaro Sasai (Araya Inc.), Masafumi Oizumi (Univ. of Tokyo) NC2020-41
In order to understand the structure of large and complex neural networks in the brain, it is important to find the "cor... [more] NC2020-41
pp.1-6
ICSS, IPSJ-SPT 2016-03-03
12:40
Kyoto Academic Center for Computing and Media Studies, Kyoto University Malicious-Spam-Mail Detection System with Autonomous Learning Ability
Shogo Osaka, Jun Kitazono, Seiichi Ozawa (Kobe Univ.), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit) ICSS2015-50
Recently, damages caused by spam mails that guide receivers to malicious
web pages become more and more serious. In thi... [more]
ICSS2015-50
pp.19-24
ICSS, IPSJ-SPT 2016-03-04
14:30
Kyoto Academic Center for Computing and Media Studies, Kyoto University An Autonomous DDoS Backscatter Detection System from Darknet Traffic
Yuki Ukawa, Jun Kitazono, Seiichi Ozawa (Kobe Univ.), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit) ICSS2015-67
This paper proposes an autonomous DDoS backscatter detection system from UDP darknet traffic. To identify DDoS backscatt... [more] ICSS2015-67
pp.123-128
ICSS 2014-11-28
10:20
Miyagi Tohoku Gakuin University (Tagajo Campus) Detecting Backscatter of DDoS Attacks from Darknet Traffic
Nobuaki Furutani (Kobe Univ), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit), Jun Kitazono, Seiichi Ozawa (Kobe Univ) ICSS2014-59
In this work, we propose a method to quickly discriminate DDoS backscatter packets from those of other traffic observed ... [more] ICSS2014-59
pp.49-53
NC, MBE
(Joint)
2013-11-22
13:00
Miyagi Tohoku University Statistical Mechanics of Neural Network Model with Sparse and Local Excitation
Akira Manda, Jun Kitazono (Univ. of Tokyo), Toshiaki Omori (Kobe Univ.), Masato Okada (Univ. of Tokyo/RIKEN BSI) NC2013-46
 [more] NC2013-46
pp.1-6
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Efficient Exhaustive Search for Variable Selection with Exchange Monte Carlo Method
Kenji Nagata (Univ. of Tokyo), Jun Kitazono (JST), Shinichi Nakajima (Nikon), Satoshi Eifuku (Fukushima Medical Univ.), Ryoi Tamura (Univ. of Toyama), Masato Okada (Univ. of Tokyo) IBISML2013-61
 [more] IBISML2013-61
pp.191-196
NC 2012-01-27
15:50
Hokkaido Future University Hakodate Neural Network Model with Sparse and Local Excitation
Akira Manda (Univ of Tokyo), Toshiaki Omori (Univ of Tokyo/RIKEN), Jun Kitazono (Univ of Tokyo/JSPS), Masato Okada (Univ of Tokyo/RIKEN) NC2011-120
 [more] NC2011-120
pp.137-142
NC, MBE
(Joint)
2011-03-09
11:05
Tokyo Tamagawa University Estimating the distribution of the dendritic membrane resistance with the line process
Jun Kitazono (The Univ. of Tokyo), Toshiaki Omori (The Univ. of Tokyo/RIKEN), Toru Aonishi (Tokyo Tech/RIKEN), Masato Okada (The Univ. of Tokyo/RIKEN) NC2010-185
Statistical methods for estimating dendritic membrane properties,
including membrane resistance as a representative ex... [more]
NC2010-185
pp.343-348
NC 2008-11-07
15:20
Saga Saga Univ. Neural network model with discrete and continuous information representation
Jun Kitazono (Univ. of Tokyo), Toshiaki Omori, Masato Okada (Univ. of Tokyo/RIKEN) NC2008-61
An associative memory model and a neural network model with Mexican-hat type interaction are the two most typical attrac... [more] NC2008-61
pp.13-18
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