M. Yamamura

发表

Power plant start-up scheduling: a reinforcement learning approach combined with evolutionary computation

Shigenobu Kobayashi, Masayuki Yamamura, Hajime Kimura, 1998, J. Intell. Fuzzy Syst..

A Survey on Learning for Agents ( "Foundations and Applications of Agents")

Shigenobu Kobayashi, Kazuteru Miyazaki, Masayuki Yamamura, 1995 .

An Efficient Genetic Algorithm for Job Shop Scheduling Problems

Isao Ono, Shigenobu Kobayashi, Masayuki Yamamura, 1995, International Conference on Genetic Algorithms.

A functional specialization hypothesis for designing genetic algorithms

M. Yamamura, H. Kita, H. Kita, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Multi-parent recombination with simplex crossover in real coded genetic algorithms

M. Yamamura, S. Tsutsui, T. Higuchi, 1999 .

An analysis of crossover's effect in genetic algorithms

Shigenobu Kobayashi, Masayuki Yamamura, Hiroshi Satoh, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

A genetic algorithm for job-shop scheduling problems using job-based order crossover

Isao Ono, Shigenobu Kobayashi, Masayuki Yamamura, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Theoretical Analysis of Simplex Crossover for Real-Coded Genetic Algorithms

Masayuki Yamamura, Shigeyoshi Tsutsui, Takahide Higuchi, 2000, PPSN.

A GA Approach to Solving Reachability Problems for Petri Nets (Special Section on Description Models for Concurrent Systems and Their Applications)

Shigenobu Kobayashi, Masayuki Yamamura, Keiko Takahashi, 1996 .

On the Capability of the Higher-Order Back-Propagation Network

Shigenobu Kobayashi, Masayuki Yamamura, Ken Tanaka, 1992 .

Emergent search on double circle TSPs using subgour exchange crossover

Isao Ono, Shigenobu Kobayashi, Masayuki Yamamura, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning

Shigenobu Kobayashi, Kazuteru Miyazaki, Masayuki Yamamura, 1997, Artif. Intell..

l-Certainty Exploration Method: An Action Selector to Identify the Environment by an Agent : An Extension of k-Certainty Exploration Method to Stochastic MDPs

Shigenobu Kobayashi, K. Miyazaki, M. Yamamura, 1996 .

Congestion detection and clearing history of trip time in AntNet

Masayuki Yamamura, Shigeo Doi, M. Yamamura, 2005, 2005 IEEE Congress on Evolutionary Computation.

Biologically-implemented genetic algorithm for protein engineering

Masayuki Yamamura, Hiroshi Someya, Kensaku Sakamoto, 2009, GECCO.

Experimental validation and optimization of signal dependent operation in whiplash PCR

Masayuki Yamamura, John A. Rose, Ken Komiya, 2010, Natural Computing.

Design and Control of Synthetic Biological Systems

Masayuki Yamamura, Ryoji Sekine, M. Yamamura, 2013 .

Tunable synthetic phenotypic diversification on Waddington’s landscape through autonomous signaling

M. Yamamura, M. Hagiya, M. Takinoue, 2011, Proceedings of the National Academy of Sciences.

Comparison between Effects of Retroactivity and Resource Competition upon Change in Downstream Reporter Genes of Synthetic Genetic Circuits

M. Yamamura, D. Kiga, Shotaro Ayukawa, 2019, Life.

Contribution of reflection in language emergence with an under-restricted situation

M. Yamamura, Kense Todo, 2020, 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE).

CONTRIBUTION OF INTERNAL REFLECTION IN LANGUAGE EMERGENCE WITH AN UNDER-RESTRICTED SITUATION

M. Yamamura, Kense Todo, 2019 .

General applicability of synthetic gene-overexpression for cell-type ratio control via reprogramming.

Masayuki Yamamura, Daisuke Kiga, Ryoji Sekine, 2014, ACS synthetic biology.

Two-layered Comparison of Protein Structures by Real-coded GA

M. Yamamura, S. Takada, P. Sung-Joon, 2005 .

A new modeling method in feature construction for the HSQC spectra screening problem

Masayuki Yamamura, Satoru Watanabe, Takanori Kigawa, 2009, Bioinform..

Identification and characterization of new long conserved noncoding sequences in vertebrates

M. Yamamura, H. Masuya, S. Wakana, 2008, Mammalian Genome.

Tunability of the ratio of cell states after the synthetic diversification by the diversity generator

M. Yamamura, M. Hagiya, D. Kiga, 2012, Communicative & integrative biology.

A Highly Bioactive Lys-Deficient IFN Leads to a Site-Specific Di-PEGylated IFN with Equivalent Bioactivity to That of Unmodified IFN-α2b.

M. Yamamura, D. Kiga, Shotaro Ayukawa, 2018, ACS synthetic biology.

PNCF: neural collaborative filtering based on pre-trained embedding

M. Yamamura, Atsushi Yoshikawa, Jianqi Pan, 2022, Neural Networks, Information and Communication Engineering.

Using Heart Rate and Machine Learning for VR Horror Game Personalization

M. Yamamura, S. Zaib, 2022, 2022 IEEE Conference on Games (CoG).

Emerging Cooperation by Reinforcement Learning

Shigenobu Kobayashi, Masayuki Yamamura, Takehisa Iwashita, 1994 .

Search and Learning by Genetic Algorithms

Shigenobu Kobayashi, Masayuki Yamamura, M. Yamamura, 1995 .

M. Yamamura, Atsushi Yoshikawa, Qiuhan Han, 2022, 2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS).

Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward

Shigenobu Kobayashi, Masayuki Yamamura, Hajime Kimura, 1995, ICML.

An approach to Lifelong Reinforcement Learning through Multiple Environments

M. Yamamura, F. Tanaka, 1998 .

A multiphysics model of in vitro transcription coupling enzymatic reaction and precipitation formation.

M. Yamamura, T. Kigawa, Satoru Akama, 2012, Biophysical journal.

Experimental Validation of Signal Dependent Operation in Whiplash PCR

Masayuki Yamamura, John A. Rose, Ken Komiya, 2009, DNA.

Cascading Whiplash PCR with a Nicking Enzyme

Daisuke Matsuda, Masayuki Yamamura, M. Yamamura, 2002, DNA.

Data Mining for Expressivity of Recombinant Protein Expression

Masayuki Yamamura, Satoshi Kira, Atsushi Isoai, 2006 .

Reinforcement learning with knowledge by using a stochastic gradient method on a Bayesian network

T. Onozuka, M. Yamamura, M. Yamamura, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

High-frequency Noise Attenuation of a Two-component System Responding to Short-pulse Input

Masayuki Yamamura, Daisuke Kiga, Ryoji Sekine, 2016, CSBio.

Construction of a genetic AND gate under a new standard for assembly of genetic parts

Satoshi Murata, Masami Hagiya, Masayuki Yamamura, 2010, BMC Genomics.

Escherichia coli expression, purification, and refolding of human folate receptor α (hFRα) and β (hFRβ).

M. Yamamura, Roopa Dharmatti, Yoshihiro Ito, 2018, Protein expression and purification.

Two site genetic incorporation of varying length polyethylene glycol into the backbone of one peptide.

M. Yamamura, Yoshihiro Ito, D. Kiga, 2015, Chemical communications.

Enhancement of Binding Affinity of Folate to Its Receptor by Peptide Conjugation

M. Yamamura, Roopa Dharmatti, Yoshihiro Ito, 2019, International journal of molecular sciences.

A Design for Cellular Evolutionary Computation by using Bacteria

Masayuki Yamamura, Kenichi Wakabayashi, M. Yamamura, 2004, Natural Computing.

Tensegrity representation of microtubule objects using unified particle objects and springs

Akihiko Konagaya, Yutaka Ueno, Masayuki Yamamura, 2020, Chem-Bio Informatics Journal.

GA-based generic method for protein structure comparison

Masayuki Yamamura, Sung-Joon Park, M. Yamamura, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Two-layer protein structure comparison

Masayuki Yamamura, Sung-Joon Park, M. Yamamura, 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.

Genetic algorithm with search area adaptation for the function optimization and its experimental analysis

Masayuki Yamamura, Hiroshi Someya, M. Yamamura, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Where should Children be Generated by Crossover Operator on Function Optimization?

Masayuki Yamamura, Hiroshi Someya, M. Yamamura, 2000, GECCO.

A robust real-coded evolutionary algorithm with toroidal search space conversion

H. Someya, M. Yamamura, M. Yamamura, 2005, Soft Comput..

Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins

Masayuki Yamamura, Sung-Joon Park, M. Yamamura, 2003, GECCO.

Robust Evolutionary Algorithms With Toroidal Search Space Conversion For Function Optimization

Masayuki Yamamura, Hiroshi Someya, M. Yamamura, 2002, GECCO.

Virtual DNA simulator and protocol design by GA

Masami Hagiya, Masayuki Yamamura, Akio Nishikawa, 1999 .

A Genetic Algorithm for the Floorplan Design Problem with Search Area Adaptation along with Searching Stage

Masayuki Yamamura, Hiroshi Someya, M. Yamamura, 1999 .

A Genetic Algorithm for Function Optimization

Masayuki Yamamura, Hiroshi Someya, M. Yamamura, 2002 .

Aqueous computing: A survey with an invitation to participate

Xia Chen, Masayuki Yamamura, Tom Head, 2002, Journal of Computer Science and Technology.

Global Local Fusion Neural Network for Multimodal Sentiment Analysis

M. Yamamura, Xiaoran Hu, 2022, Applied Sciences.

Design strategy for an initial state-independent diversity generator

M. Yamamura, D. Kiga, Ryoji Sekine, 2012 .

An Augmented EBL and its Application to the Utility Problem

Shigenobu Kobayashi, Masayuki Yamamura, M. Yamamura, 1991, IJCAI.

Extracting Branch Factors of Scenarios from a Gaming Simulation Using Log-Cluster Analysis

M. Yamamura, T. Terano, M. Kunigami, 2023, J. Adv. Comput. Intell. Intell. Informatics.

Synthetic Biology

Masayuki Yamamura, Daisuke Kiga, M. Yamamura, 2008, New Generation Computing.

Computer simulation of the cellular arrangement using physical model in early cleavage of the nematode Caenorhabditis elegans

Masayuki Yamamura, Yuji Kohara, Atsushi Kajita, 2003, Bioinform..

Learning Reaching Tasks Using an Arm Robot Equipped with MACMSA

M. Yamamura, Motohiro Akikawa, 2022, Journal of Physics: Conference Series.

An Experimental Analysis of Loop-Free Algorithms for Scale-Free Networks

Masayuki Yamamura, Shigeo Doi, M. Yamamura, 2004, ANTS Workshop.

Personalized saliency prediction using color spaces

M. Yamamura, S. Zaib, 2022, Multimedia Tools and Applications.

Cascading DNA Generation Reaction for Controlling DNA Nanomachines at a Physiological Temperature

M. Yamamura, K. Komiya, 2015, New Generation Computing.

Quantitative design and experimental validation for a single-molecule DNA nanodevice transformable among three structural states

Masayuki Yamamura, John A. Rose, Ken Komiya, 2010, Nucleic acids research.

Leak-free million-fold DNA amplification with locked nucleic acid and targeted hybridization in one pot.

M. Yamamura, K. Komiya, T. Yoshimura, 2019, Organic & biomolecular chemistry.

Effects of downstream genes on synthetic genetic circuits

Masayuki Yamamura, Daisuke Kiga, Takefumi Moriya, 2014, BMC Systems Biology.

A design and feasibility study of reactions comprising DNA molecular machine that walks autonomously by using a restriction enzyme

Masayuki Yamamura, Daisuke Kiga, Hiroyuki Sekiguchi, 2008, Natural Computing.