Masayuki Yamamura

Masayuki Yamamura, Fumihide Tanaka, M. Yamamura, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

An Efficient Genetic Algorithm for Job Shop Scheduling Problems

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

Exploiting value statistics for similar continuing tasks

Masayuki Yamamura, F. Tanaka, 2003, The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003..

Virtual DNA simulator and protocol design by GA

Masami Hagiya, Masayuki Yamamura, Akio Nishikawa, 1999 .

A Genetic Algorithm without parameters tuning and its application on the floorplan design problem

Masayuki Yamamura, Hiroshi Someya, 1999 .

A Design for Cellular Evolutionary Computation by Using Bacteria

Masayuki Yamamura, Kenichi Wakabayashi, 2004, DNA.

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

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

Reinforcement learning agent that is capable of 2-dimensional multitask learning

Masayuki Yamamura, Fumihide Tanaka, 2001 .

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..

Multi-Objective Robust Optimization for In Vitro RNA Synthesis

Masayuki Yamamura, Takanori Kigawa, Satoru Akama, 2011 .

Emerging Cooperation by Reinforcement Learning

Shigenobu Kobayashi, Masayuki Yamamura, Takehisa Iwashita, 1994 .

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

Shigenobu Kobayashi, Kazuteru Miyazaki, Masayuki Yamamura, 1995 .

Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward

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

Search and Learning by Genetic Algorithms

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

Visualization and observation of dragging class transition induced by targeted adversarial attacks

Masayuki Yamamura, Kense Todo, Shoya Yasuda, 2020 .

Biomolecular computing

Masami Hagiya, Masayuki Yamamura, Tom Head, 2009, New Generation Computing.

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.

FROG (Fitted Rotation and Orientation of protein structure by means of real-coded Genetic algorithm) : Asynchronous Parallelizing for Protein Structure-Based Comparison on the Basis of Geometrical Similarity

Masayuki Yamamura, Sung-Joon Park, 2002 .

Biologically-implemented genetic algorithm for protein engineering

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

Data Mining for Expressivity of Recombinant Protein Expression

Masayuki Yamamura, Satoshi Kira, Atsushi Isoai, 2006 .

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

Shigenobu Kobayashi, Masayuki Yamamura, Ken Tanaka, 1992 .

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

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

Aqueous Solutions of Algorithmic Problems: Emphasizing Knights on a 3 x 3

Xia Chen, Masayuki Yamamura, Tom Head, 2001, DNA.

Toward "Wet" Implementation of Genetic Algorithm for Protein Engineering

Masayuki Yamamura, Hiroshi Someya, Kensaku Sakamoto, 2004, DNA.

Two-layer protein structure comparison

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

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

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

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.

Synthetic Biology

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

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

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

A Realization of Information Gate by Using Enterococcus faecalis Pheromone System

Masayuki Yamamura, Kenichi Wakabayashi, 2001, DNA.

Reinforcement Learning for 2-dimensionally Multiple Tasks:

Masayuki Yamamura, Fumihide Tanaka, 2002 .

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 .

An Interface for a Computing Model Using Methylation to Allow Precise Population Control by Quantitative Monitoring

Masayuki Yamamura, Ken Komiya, Noriko Hirayama, 2007, DNA.

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.

An Accurate Prediction Method for Protein Structural Class from Signal Patterns of NMR Spectra in the Absence of Chemical Shift Assignments

Tsuyoshi Kato, Masayuki Yamamura, Naoya Tochio, 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

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

Masayuki Yamamura, Ken Komiya, 2015, New Generation Computing.

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..

Spider algorithm for clustering time series

Masayuki Yamamura, Shohei Kameda, 2006 .

Aqueous computing: A survey with an invitation to participate

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

Gradient Masking Is a Type of Overfitting

Masayuki Yamamura, Yusuke Yanagita, 2018 .

An Augmented EBL and its Application to the Utility Problem

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

A Realization of DNA Molecular Machine That Walks Autonomously by Using a Restriction Enzyme

Masayuki Yamamura, Daisuke Kiga, Hiroyuki Sekiguchi, 2007, DNA.

Tensegrity representation of microtubule objects using unified particle objects and springs

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

Experimental Validation of Signal Dependent Operation in Whiplash PCR

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

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

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

Effects of downstream genes on synthetic genetic circuits

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

A Wet Implementation of Evolutionary Computation and its Application on Protein Engineering

Masayuki Yamamura, 2012 .

Materializing Architecture for Processing Multimodal Signals for a Humanoid Robot Control System

Masayuki Yamamura, Motohiro Akikawa, 2021, J. Adv. Comput. Intell. Intell. Informatics.

A System for Generating Audio Influenced by Audience Evaluation Using Interactive Genetic Algorithm

Masayuki Yamamura, Kense Todo, Shoya Yasuda, 2021, Advances in Intelligent Systems and Computing.

SYANAC: SYnthetic biological Automaton for Noughts And Crosses

Satoshi Murata, Masami Hagiya, Masayuki Yamamura, 2007 .

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

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

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.

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

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