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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 #
SS, MSS 2022-01-11
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Model Reduction of Boolean Networks Based on Graph Structure
Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-36 SS2021-23
A Boolean network (BN) is widely used as a mathematical model for control of gene regulatory networks. Since a gene regu... [more] MSS2021-36 SS2021-23
SS, MSS 2022-01-11
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Design of Self-Triggered Reduced-Order Controllers of Probabilistic Boolean Networks Using Reinforcement Learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2021-37 SS2021-24
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learni... [more] MSS2021-37 SS2021-24
SIP, CAS, VLD, MSS 2021-07-06
Online Online Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12
We consider the pinning stabilization of probabilistic Boolean networks using reinforcement learning. Using reinforcemen... [more] CAS2021-12 VLD2021-12 SIP2021-22 MSS2021-12
MSS, CAS, IPSJ-AL [detail] 2020-11-25
Online Online Data-Driven Optimal Reconstruction of Boolean Networks with Noisy Dynamics
Koichi Kobayashi (Hokkaido Univ.), Yuhu Wu (Dalian Univ. of Tech.) CAS2020-25 MSS2020-17
A Boolean network is a mathematical model that the dynamics are represented by Boolean functions. In this paper, a metho... [more] CAS2020-25 MSS2020-17
Fukui Bunkyo Camp., Univ. of Fukui MSS2018-93 Research on network motifs has recently focused on the relationship between form and function, in the context of Boolean... [more] MSS2018-93
NLP 2018-04-26
Kumamoto Kumaoto Univ. Construction Methods of Probabilistic Boolean Networks Based on Imperfect Information
Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) NLP2018-11
A probabilistic Boolean network (PBN) is one of the mathematical models of gene regulatory networks. In a Boolean networ... [more] NLP2018-11
CQ 2017-01-20
Osaka Osaka University Nakanoshima Center A Path Construction Scheme in Reflective Network Tomography for Node Failure Detection
Naoya Kiyofuji (Osaka Univ.), Takahiro Matsuda (Osaka Univ./NICT), Shinsuke Hara (Osaka City Univ.), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT) CQ2016-97
Network tomography is a network monitoring method to estimate network internal characteristics from end-to-end measureme... [more] CQ2016-97
Nagano Naganoken Nokyo Building [Poster Presentation] A Study on Network Failure Detection with Reflective Network Tomography
Naoya Kiyofuji (Osaka Univ.), Takahiro Matsuda (Osaka Univ./NICT), Shinsuke Hara (Osaka City Univ.), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT)
Network tomography is a technique to estimate network internal characteristics by end-to-end measurements. An adaptive B... [more]
VLD, CAS, MSS, SIP 2016-06-16
Aomori Hirosaki Shiritsu Kanko-kan Controllability Analysis of Boolean Networks Focusing on Attractors
Koichi Kobayashi (Hokkaido Univ.) CAS2016-12 VLD2016-18 SIP2016-46 MSS2016-12
In this paper, based on a singleton attractor, the controllability problem of a gene regulatory network modeled by a Boo... [more] CAS2016-12 VLD2016-18 SIP2016-46 MSS2016-12
MSS, CAS, SIP, VLD 2015-06-17
Hokkaido Otaru University of Commerce Design of Probabilistic Boolean Networks Based on Network Structure and Steady-state Probabilities
Koichi Kobayashi (Hokkaido Univ.), Kunihiko Hiraishi (JAIST) CAS2015-1 VLD2015-8 SIP2015-32 MSS2015-1
In this paper, we consider the problem of finding a probabilistic Boolean network (PBN) based on network structure and d... [more] CAS2015-1 VLD2015-8 SIP2015-32 MSS2015-1
Fukuoka Fukuoka Institute of Technology Network Failure Detection with Mobility-Assisted Boolean Network Tomography
Masaki Mukamoto, Takahiro Matsuda (Osaka Univ), Shinsuke Hara (Osaka City Univ), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT) CQ2015-3
Boolean network tomography can identify failure links/nodes in a network by solving a system of Boolean equations to rep... [more] CQ2015-3
MVE, ITE-HI, HI-SIG-VR 2011-06-29
Tokyo Sanjo Conference Hall An Interpretation of "the Mechanism of Meaning" by ARAKAWA+GINS(3) -- In Order to Detect and Debug Logical Errors in Human Civilization --
Kimiaki Tokumaru (System Engineer) MVE2011-30
Last year, the author discussed on “What is Virtual Reality?” differentiating cases of “seeing inexistence” and those “b... [more] MVE2011-30
AI 2011-05-26
Tokyo Kwansei Gakuin Univ. Tokyo Marunouchi Campus Several Remarks on the Acquisition of Web-Information -- Co-existence of Bit and Linguistic Information, and Corporal Intelligence --
Kimiaki Tokumaru (System Engineer) AI2011-1
The author has been investigating on the origin and mechanism of language through interdisciplinary researches. He reali... [more] AI2011-1
COMP 2009-10-16
Miyagi Tohoku University Algorithm for Finding Minimum Reaction Cut of Metabolic Network
Takeyuki Tamura (Kyoto Univ.), Kazuhiro Takemoto (Univ. of Tokyo.), Tatsuya Akutsu (Kyoto Univ.) COMP2009-36
In this article, we study two problems ReactionCut and MD-ReactionCut
for calculating minimum reaction cuts of a metabo... [more]
MSS 2009-08-06
Tokyo JAIST Tokyo Campus Polynomial-time Algorithm for Controllability Test of Boolean Networks
Koichi Kobayashi (JAIST), Jun-ichi Imura (Tokyo Inst. of Tech.), Kunihiko Hiraishi (JAIST) CST2009-14
This paper proposes a polynomial-time algorithm to determine if a Boolean network with control nodes and controlled node... [more] CST2009-14
MSS 2009-08-07
Tokyo JAIST Tokyo Campus Analyzing Boolean Networks by Using Integer Programming
Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamura (Kyoto Univ.) CST2009-17
The Boolean network (BN) model is known as a mathematical model of genetic networks and many studies have been done on B... [more] CST2009-17
NC, NLP 2009-07-13
Nara NAIST Uncorrelated inputs driven correlations in sub-Boolean Networks
Chikoo Oosawa (Kyushu Inst. of Tech.) NLP2009-25 NC2009-18
We propose an analyzing and comparing method for 12 different sub-Boolean networks that have three nodes. By applying ra... [more] NLP2009-25 NC2009-18
NLP 2008-02-01
Hokkaido   Analysis of Random Boolean Network Dynamics Based on One-dimensional Mapping
Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-145
The dynamics of random Boolean networks which are used to model a range
of complex phenomena is studied. The states of... [more]
NLP 2007-11-22
Fukuoka   Effects of embedded motifs on behavior of Boolean networks
Chikoo Oosawa (KIT), Kazuhiro Takemoto (Kyoto Univ.) NLP2007-95
We show advantages of feedforward loops using Boolean network that is one of the discrete dynamical models for the trans... [more] NLP2007-95
COMP 2007-05-25
Fukuoka Kyushu University An O(1.787^n)-time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes
Takeyuki Tamura, Tatsuya Akutsu (Kyoto Univ.) COMP2007-13
The Boolean network (BN) is a mathematical model of genetic networks. It is known that detecting a singleton attractor i... [more] COMP2007-13
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