Tetsuya Shimokawa

According to our database, Tetsuya Shimokawa authored at least 30 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Power Efficient Edge-Cloud Cooperation by Value-Sensitive Bayesian Attractor Model.

Tatsuya Otoshi, Hideyuki Shimonishi, Tetsuya Shimokawa, Masayuki Murata

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Information spillover effect on human exploratory behavior in contextual multi-armed bandit problem.

Shinji Nakazato, Bojian Yang, Tetsuya Shimokawa

Proceedings of the 5th World Symposium on Software Engineering, 2023

Distributed Timeslot Allocation in mMTC Network by Magnitude-Sensitive Bayesian Attractor Model.

Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing.

Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa

Proceedings of the International Conference on Computing, Networking and Communications, 2023

2021

Prestimulus Low-Alpha Frontal Networks Are Associated with Pareidolias in Parkinson's Disease.

Gajanan S. Revankar, Yuta Kajiyama, Noriaki Hattori, Tetsuya Shimokawa, Tomohito Nakano, Masahito Mihara, Etsuro Mori, Hideki Mochizuki

Brain Connect., 2021

2019

Evolvable Virtual Network Function Placement Method: Mechanism and Performance Evaluation.

Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata

IEEE Trans. Netw. Serv. Manag., 2019

2017

Robustness and efficiency in interconnected networks with changes in network assortativity.

Masaya Murakami, Shu Ishikura, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata

Appl. Netw. Sci., 2017

Constructing virtual IoT network topologies with a brain-inspired connectivity model.

Masaya Murakami, Kenji Leibnitz, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

2016

Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling.

Ferdinand Peper, Kenji Leibnitz, Jun-nosuke Teramae, Tetsuya Shimokawa, Naoki Wakamiya

IEEE Internet Things J., 2016

Brownian Circuits: Designs.

Jia Lee, Ferdinand Peper, Sorin Dan Cotofana, Makoto Naruse, Motoichi Ohtsu, Tadashi Kawazoe, Yasuo Takahashi, Tetsuya Shimokawa, Laszlo B. Kish, Tohru Kubota

Int. J. Unconv. Comput., 2016

Average consensus in asymmetric broadcasting wireless sensor networks through gossiping.

Ferdinand Peper, Kenji Leibnitz, Tetsuya Shimokawa, Marie-Ange Remiche

Proceedings of the Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services, 2016

Application of evolutionary mechanism to dynamic Virtual Network Function Placement.

Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata

Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

Impact of Fluctuating Goals on Adaptability of Evolvable VNF Placement Method.

Mari Otokura, Kenji Leibnitz, Yuki Koizumi, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata

Proceedings of the Fourth International Symposium on Computing and Networking, 2016

2015

A Novel Double Oscillation Model for Prediction of fMRI BOLD Signals without Detrending.

Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

2014

A Binary Option Pricing Based on Fuzziness.

Masatoshi Miyake, Hiroshi Inoue, Jianming Shi, Tetsuya Shimokawa

Int. J. Inf. Technol. Decis. Mak., 2014

A nonlinear model of fMRI BOLD signal including the trend component.

Takashi Matsubara, Hiroyuki Torikai, Tetsuya Shimokawa, Kenji Leibnitz, Ferdinand Peper

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Extracting Transition Rules from a 3-Dimensional Cellular Automaton Representing fMRI Data of a Visual Stimulus Experiment.

Kenji Leibnitz, Tetsuya Shimokawa, Ferdinand Peper

Proceedings of the Second International Symposium on Computing and Networking, 2014

2013

Evolutionary Foundation of Bounded Rationality in a Financial Market.

Kanta Kinoshita, Kyoko Suzuki, Tetsuya Shimokawa

IEEE Trans. Evol. Comput., 2013

On the Topological Changes of Brain Functional Networks under Priming and Ambiguity.

Kenji Leibnitz, Tetsuya Shimokawa, Aya Ihara, Norio Fujimaki, Ferdinand Peper

IEICE Trans. Commun., 2013

Maximum entropy based randomized routing in data-centric networks.

Kenji Leibnitz, Tetsuya Shimokawa, Ferdinand Peper, Masayuki Murata

Proceedings of the 15th Asia-Pacific Network Operations and Management Symposium, 2013

2012

Topological Comparison of Brain Functional Networks and Internet Service Providers.

Kenji Leibnitz, Tetsuya Shimokawa, Hiroaki Umehara, Tsutomu Murata

IEICE Trans. Commun., 2012

A brain information-aided intelligent investment system.

Tetsuya Shimokawa, Kanta Kinoshita, Kazuhiro Miyagawa, Tadanobu Misawa

Decis. Support Syst., 2012

2009

Agent-Based Approach to Option Pricing Anomalies.

Kyoko Suzuki, Tetsuya Shimokawa, Tadanobu Misawa

IEEE Trans. Evol. Comput., 2009

An Agent-Based Approach to Option Pricing Anomalies.

Kyoko Suzuki, Tetsuya Shimokawa, Tadanobu Misawa

IEEE Trans. Evol. Comput., 2009

Predicting investment behavior: An augmented reinforcement learning model.

Tetsuya Shimokawa, Kyoko Suzuki, Tadanobu Misawa, Yoshitaka Okano

Neurocomputing, 2009

2008

The Fokker-Planck approach for the cooperative molecular motor model with finite number of motors.

Kazunari Mouri, Tetsuya Shimokawa

Biosyst., 2008

Stochastic simulations on a model of circadian rhythm generation.

Shigehiro Miura, Tetsuya Shimokawa, Taishin Nomura

Biosyst., 2008

2007

The enhancement of the energetic efficiency by the cooperation of low-efficient flashing ratchets.

Tetsuya Shimokawa, Kazunari Mouri

Biosyst., 2007

2001

Coherence resonance and discharge time reliability in neurons and neuronal models.

Khashayar Pakdaman, Seiji Tanabe, Tetsuya Shimokawa

Neural Networks, 2001

2000

A first-passage-time analysis of the periodically forced noisy leaky integrate-and-fire model.

Tetsuya Shimokawa, Khashayar Pakdaman, Takayuki Takahata, Seiji Tanabe, Shunsuke Sato

Biol. Cybern., 2000