S. Mabu

发表

Mining Fuzzy Association Rules: A General Model Based on Genetic Network Programming and its Applications

K. Hirasawa, K. Shimada, K. Taboada, 2010 .

Fuzzy association rule mining and classifier with chi-squared correlation measure using genetic network programming

K. Hirasawa, K. Shimada, K. Taboada, 2009, 2009 ICCAS-SICE.

Agent bidding strategy of multiple round English Auction based on genetic network programming

K. Hirasawa, S. Mabu, Chuan Yue, 2009, 2009 ICCAS-SICE.

Acquisition of optimal attribute subset through genetic algorithm using GNP‐based class association rule mining

K. Hirasawa, K. Shimada, S. Mabu, 2014 .

Genetic Network Programming with updating rule accumulation

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Generalized rule accumulation based on Genetic Network Programming considering different population size and rule length

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2010, Proceedings of SICE Annual Conference 2010.

Neural Networks using Reinforcement Learning and their Applications to Time Series Forecasting

S. Mabu, M. Obayashi, Takashi Kremoto, 2015 .

Analysis of crossover rate in variable size Genetic Network Programming with binomial distribution

K. Hirasawa, Bing Li, S. Mabu, 2011, SICE Annual Conference 2011.

International Journal of Engineering Innovation and Management

S. Mabu, M. Obayashi, Shunsuke Gotoh, 2017 .

Variable size genetic relation algorithm for portfolio diversification

K. Hirasawa, S. Mabu, V. Parque, 2010, SOCO 2010.

A genetic network programming based method to mine generalized association rules with ontology

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2008, SICE Annual Conference 2007.

Genetic Network Programming with Reinforcement Learning and Its Application to Creating Stock Trading Rules

K. Hirasawa, S. Mabu, Yan Chen, 2009 .

A Bidding Strategy with Heuristic Rules for Continuous Double Auctions based on Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, K. Hirasawa, 2011 .

Dynamic Simulations of the Humidification Tower for An Advanced Humid Air Turbine System

K. Hirasawa, Yukinori Katagiri, S. Mabu, 2011 .

Two-Stage Reinforcement Learning on Credit Branch Genetic Network Programming for Mobile Robots

Shingo Mabu, Kotaro Hirasawa, Siti Sendari, 2013 .

Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World

Qingfu Zhang, Zbigniew Michalewicz, Riccardo Poli, 2007 .

Importance of Advanced Metrology in Semiconductor Industry and Value-added Creation Using AI/ML

Shingo Mabu, Kazuya Okamoto, Masaaki Sugiyama, 2020, e-Journal of Surface Science and Nanotechnology.

Pruning of Redundant Information to Improve Performance for Agent Control in A Changing Environment

Shingo Mabu, Kotaro Hirasawa, Wei Xu, 2012 .

Adaptive random search with intensification and diversification combined with genetic algorithm

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2005, 2005 IEEE Congress on Evolutionary Computation.

Solving multi-objective optimization problems by RasID-GA

K. Hirasawa, K. Shimada, S. Mabu, 2008, 2008 SICE Annual Conference.

A Control System Based on Auto-Fusion Cerebellar Perceptron Improved Model and Its Application to Consensus Problem

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2014 .

A Genetic Network Programming-based Bidding Strategy with Adjusting Parameters for Large-scale Continuous Double Auction

Shingo Mabu, Kotaro Hirasawa, Chuan Yue, 2013 .

Enhancing Bidding Strategy Using Genetic Network Programming in Agent-Based Multiple Round English Auction

Shingo Mabu, Kotaro Hirasawa, Chuan Yue, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Genetic Network Programming-Sarsa with Subroutines for Trading Rules on Stock Markets

Shingo Mabu, Kotaro Hirasawa, Jianhua Li, 2011, J. Adv. Comput. Intell. Intell. Informatics.

A Cooperative Coevolutionary Stock Trading Model Using Genetic Network Programming-Sarsa

Shingo Mabu, Kotaro Hirasawa, Yang Yang, 2012, J. Adv. Comput. Intell. Intell. Informatics.

Adaptive Mutation in SARSA Learning of Genetic Network Programming with Individual Reconstruction

Shingo Mabu, Kotaro Hirasawa, Fengming Ye, 2011 .

Diversifying risk in portfolios using a variable‐size genetic relation algorithm

K. Hirasawa, S. Mabu, V. Parque, 2012 .

An Evolutionary Model of Multilateral Negotiation System

Shingo Mabu, Kotaro Hirasawa, Md. Tofazzal Hossain, 2013 .

Multi-subroutines in Genetic Network Programming-Sarsa for trading rules on stock markets

Shingo Mabu, Kotaro Hirasawa, Yang Yang, 2011, SICE Annual Conference 2011.

Combination of genetic network programming and knapsack problem to support record clustering on distributed databases

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2016, Expert Syst. Appl..

Genetic network programming with credit

Shingo Mabu, K. Hirasawa, Wei Xu, 2012, 2012 Proceedings of SICE Annual Conference (SICE).

Pruning generalized rules for stock markets accumulated by Genetic Network Programming with Rule Accumulation

Shingo Mabu, Kotaro Hirasawa, Yafei Xing, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Probabilistic model building Genetic Network Programming using multiple probability vectors

Shingo Mabu, Kotaro Hirasawa, M. K. Mainali, 2010, TENCON 2010 - 2010 IEEE Region 10 Conference.

Shingo Mabu, Kotaro Hirasawa, Huiyu Zhou, 2010, Proceedings of SICE Annual Conference 2010.

Generalized rule extraction and traffic prediction in the optimal route search

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010, IEEE Congress on Evolutionary Computation.

Constructing portfolio investment strategy based on Time Adapting Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2009, 2009 IEEE Congress on Evolutionary Computation.

Propagation and control of stochastic signals through universal learning networks

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2006, Neural Networks.

Real Time Updating Genetic Network Programming for adapting to the change of stock prices

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Enhancement of trading rules on stock markets using genetic network programming with Sarsa learning

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2007, SICE Annual Conference 2007.

Classification of respiratory sounds using improved convolutional recurrent neural network

Shingo Mabu, Shoji Kido, Tohru Kamiya, 2021, Comput. Electr. Eng..

Summarizing Articles into Sentences by Hierarchical Attention Model and RNN Language Model

Shingo Mabu, Takashi Kuremoto, Takuji Tsuruda, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

A Sentence Summarizer using Recurrent Neural Network and Attention-Based Encoder

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2017 .

Automatic Classification of Large-Scale Respiratory Sound Dataset Based on Convolutional Neural Network

Shingo Mabu, Huimin Lu, Hyoungseop Kim, 2019, 2019 19th International Conference on Control, Automation and Systems (ICCAS).

Analysis of Various Interestingness Measures in Class Association Rule Mining

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2011 .

A bidding strategy of multiple round auctions based on Genetic Network Programming

Shingo Mabu, Yu Wang, Kotaro Hirasawa, 2010, IEEE Congress on Evolutionary Computation.

Detection of pulmonary nodules on chest x-ray images using R-CNN

Shingo Mabu, Yasushi Hirano, Shoji Kido, 2019, Other Conferences.

Automatic program generation with genetic network programming using subroutines

Shingo Mabu, Kotaro Hirasawa, Bing Li, 2010, Proceedings of SICE Annual Conference 2010.

Efficient hybrid rule pruning for intrusion detection using multi-dimensional probability distribution

Shingo Mabu, Kotaro Hirasawa, Tuo Wang, 2011, SICE Annual Conference 2011.

Evolving graph‐based chromosome by means of variable size genetic network programming with binomial distribution

Shingo Mabu, Kotaro Hirasawa, Bing Li, 2013 .

Genetic network programming with subroutines for automatic program generation

Shingo Mabu, Kotaro Hirasawa, Bing Li, 2012 .

Towards automatic discovery and reuse of subroutines in Variable Size Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Xianneng Li, 2012, 2012 IEEE Congress on Evolutionary Computation.

Variable Size Genetic Network Programming with Binomial Distribution

Shingo Mabu, Kotaro Hirasawa, Xianneng Li, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Tile-world — A case study of Genetic Network Programming with automatic program generation

Shingo Mabu, Kotaro Hirasawa, Bing Li, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010, IEEE Congress on Evolutionary Computation.

Genetic Network Programming with generalized rule accumulation

Qingbiao Meng, Shingo Mabu, Kotaro Hirasawa, 2010, IEEE Congress on Evolutionary Computation.

Rule accumulation method with modified fitness function based on Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2009, 2009 ICCAS-SICE.

Evolving plural programs by genetic network programming with multi-start nodes

Shingo Mabu, Kotaro Hirasawa, K. Hirasawa, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Genetic network programming with sarsa learning and its application to creating stock trading rules

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2007, 2007 IEEE Congress on Evolutionary Computation.

A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Adaptive random search with intensification and diversification combined with genetic algorithm

Kotaro Hirasawa, Jinglu Hu, DongKyu Sohn, 2005, 2005 IEEE Congress on Evolutionary Computation.

A Visual System of Citrus Picking Robot Using Convolutional Neural Networks

Shingo Mabu, Takashi Kuremoto, Huang Ling, 2018, 2018 5th International Conference on Systems and Informatics (ICSAI).

Training Deep Neural Networks with Reinforcement Learning for Time Series Forecasting

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2019, Time Series Analysis - Data, Methods, and Applications.

A Genetic Algorithm Based Clustering Method for Optimal Route Calculation on Multilevel Networks

Shingo Mabu, Kotaro Hirasawa, Feng Wen, 2011 .

Genetic network programming with automatically generated macro nodes (GNP with AGMs)

K. Hirasawa, J. Hu, H. Nakagoe, 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

An Explicit Memory Scheme of Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Fengming Ye, 2012, J. Adv. Comput. Intell. Intell. Informatics.

A portfolio selection model using genetic relation algorithm and genetic network programming

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2007, Evolutionary Computation.

No Time Limit and Time Limit Model of Multiple Round Dutch Auction Based on Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Chuan Yue, 2011, J. Adv. Comput. Intell. Intell. Informatics.

A model of portfolio optimization using time adapting genetic network programming

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2010, Comput. Oper. Res..

A genetic relation algorithm with guided mutation for the large-scale portfolio optimization

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2009, 2009 ICCAS-SICE.

A portfolio optimization model using Genetic Network Programming with control nodes

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, Expert Syst. Appl..

The Recollection Characteristics of Generalized MCNN Using Different Control Methods

Shingo Mabu, Shun Watanabe, Kunikazu Kobayashi, 2014, J. Robotics Netw. Artif. Life.

The recollection characteristics of a generalized MCNN

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2013, The SICE Annual Conference 2013.

A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems

Shingo Mabu, Kotaro Hirasawa, Masanao Obayashi, 2014, Expert Syst. Appl..

A Novel Graph-Based Estimation of the Distribution Algorithm and its Extension Using Reinforcement Learning

Shingo Mabu, Kotaro Hirasawa, Xianneng Li, 2014, IEEE Transactions on Evolutionary Computation.

A novel estimation of distribution algorithm using graph-based chromosome representation and reinforcement learning

Shingo Mabu, Kotaro Hirasawa, Xianneng Li, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Genetic Network Programming with Sarsa Learning Based Nonuniform Mutation

Qingbiao Meng, Shingo Mabu, Kotaro Hirasawa, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Guiding the evolution of Genetic Network Programming with reinforcement learning

K. Hirasawa, S. Mabu, Yu Wang, 2010, IEEE Congress on Evolutionary Computation.

Towards the Maintenance of Population Diversity: A Hybrid Probabilistic Model Building Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Xianneng Li, 2010 .

Robust Genetic Network Programming using SARSA Learning for autonomous robots

Shingo Mabu, Kotaro Hirasawa, Sung Gil Park, 2009, 2009 ICCAS-SICE.

A Study of Double-Deck Elevator Systems Using Genetic Network Programming with Reinforcement Learning

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2007, 2007 IEEE Congress on Evolutionary Computation.

Elevator group control system using genetic network programming with ACO considering transitions

Jinglu Hu, Jin Zhou, Lu Yu, 2007, SICE Annual Conference 2007.

Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2004, GECCO.

Genetic network programming with learning and evolution for adapting to dynamical environments

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Online Learning of Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Junichi Murata, 2002 .

Enhanced rule extraction and classification mechanism of genetic network programming for stock trading signal generation

Shingo Mabu, Kotaro Hirasawa, K. Hirasawa, 2011, GECCO '11.

A genetic network programming with learning approach for enhanced stock trading model

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, Expert Syst. Appl..

Forecast chaotic time series data by DBNs

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2014, 2014 7th International Congress on Image and Signal Processing.

Forecasting Real Time Series Data using Deep Belief Net and Reinforcement Learning

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2017, J. Robotics Netw. Artif. Life.

Analysis of various interestingness measures in classification rule mining for traffic prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010, Proceedings of SICE Annual Conference 2010.

Enhancing the generalization ability of neural networks through controlling the hidden layers

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, Appl. Soft Comput..

Discovering fuzzy classification rules using Genetic Network Programming

S. Mabu, K. Hirasawa, K. Shimada, 2008, 2008 SICE Annual Conference.

Parallel evolutionary association rule mining for efficient summarization of wireless sensor network data pattern

Shingo Mabu, Wirarama Wedashwara, Candra Ahmadi, 2017, 2017 5th International Conference on Cyber and IT Service Management (CITSM).

Evolutionary Rule Based Clustering for Making Fuzzy Object Oriented Database Models

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2015, 2015 IIAI 4th International Congress on Advanced Applied Informatics.

Anomaly Detection Using Convolutional Adversarial Autoencoder and One-class SVM for Landslide Area Detection from Synthetic Aperture Radar Images

Shingo Mabu, Takashi Kuremoto, Soichiro Hirata, 2021, J. Robotics Netw. Artif. Life.

Traffic flow prediction with Genetic Network Programming

Wei Wei, Huiyu Zhou, K. Shimada, 2008, 2008 SICE Annual Conference.

An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Global portfolio diversification by genetic relation algorithm

Shingo Mabu, Kotaro Hirasawa, Victor Parque, 2009, 2009 ICCAS-SICE.

Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2015, Appl. Soft Comput..

Ensemble learning of rule-based evolutionary algorithm using multi layer perceptron for stock trading models

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Segmentation of liver tumors in multiphase computed tomography images using hybrid method

Shingo Mabu, Shoji Kido, Tohru Kamiya, 2022, Computers & electrical engineering.

Web mining using Genetic Relation Algorithm

Shingo Mabu, Kotaro Hirasawa, Eloy Gonzales, 2010, Proceedings of SICE Annual Conference 2010.

MBFP generalized association rule mining and classification in traffic volume prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2011 .

A random-forests-based classifier using class association rules and its application to an intrusion detection system

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2016, Artificial Life and Robotics.

EvoCMAR: A New Evolutionary Method to Directly Mine Association Rules for Classification

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010 .

Genetic Network Programming with Estimation of Distribution Algorithms and its application to association rule mining for traffic prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, 2009 ICCAS-SICE.

Class association rule mining with correlation measures using genetic network programming

Shingo Mabu, Kotaro Hirasawa, Eloy Gonzales, 2009, 2009 ICCAS-SICE.

Backward time related association rule mining with database rearrangement in traffic volume prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Generalized Time Related Sequential Association rule mining and traffic prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, 2009 IEEE Congress on Evolutionary Computation.

A nonlinear model to rank association rules based on semantic similarity and genetic network programing

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009 .

Comparative association rules mining using Genetic Network Programming(GNP) with attributes accumulation mechanism and its application to traffic systems

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A personalized association rule ranking method based on semantic similarity and evolutionary computation

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Mining association rules from databases with continuous attributes using genetic network programming

Shingo Mabu, Kotaro Hirasawa, Eloy Gonzales, 2007, 2007 IEEE Congress on Evolutionary Computation.

Self-Adaptive Mechanism in Genetic Network Programming for Mining Association Rules

K. Shimada, S. Mabu, K. Hirasawa, 2006, 2006 SICE-ICASE International Joint Conference.

Lung Sound Classification Using Deep Neural Networks with Pre-training

Shoji Kido, Takashi Kuremoto, Ryosuke Wakamoto, 2020 .

Time Series Prediction Using DBN and ARIMA

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2015, 2015 International Conference on Computer Application Technologies.

Improving the robustness of GNP-PCA using the multiagent system

Shingo Mabu, Kotaro Hirasawa, Jinyin Chen, 2017, Appl. Soft Comput..

Robust intelligent PCA‐based face recognition framework using GNP‐fuzzy data mining

Shingo Mabu, Kotaro Hirasawa, Deng Zhang, 2013 .

A robust intelligent face recognition framework using GNP-based multi-agent system

Shingo Mabu, Kotaro Hirasawa, Deng Zhang, 2011, SICE Annual Conference 2011.

Evolutionary approach for the traffic volume estimation of road sections

Shingo Mabu, Kotaro Hirasawa, Manoj Kanta Mainali, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

A Novel Approach to Time Series Forecasting using Deep Learning and Linear Model

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2016 .

Landslide Classification from Synthetic Aperture Radar Images Using Convolutional Neural Network with Multichannel Information

Takashi Kuremoto, Shingo Mabu, Yoshiaki Nakayama, 2020, Journal of Signal Processing.

An efficient preprocessing method for suboptimal route computation

Kotaro Hirasawa, Shingo Mabu, Feng Wen, 2011 .

Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases

Shingo Mabu, Shoji Kido, Takashi Kuremoto, 2020, J. Signal Process. Syst..

Analysis of the effects of transfer learning on opacity classification of diffuse lung diseases using convolutional neural network

Shingo Mabu, Yasushi Hirano, Shoji Kido, 2019, Other Conferences.

A Class Association Rule Based Classifier Using Probability Density Functions for Intrusion Detection Systems

Shingo Mabu, Kotaro Hirasawa, Wenjing Li, 2015, J. Adv. Comput. Intell. Intell. Informatics.

An Evolutionary Negotiation Model Using Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Md. Tofazzal Hossain, 2010, J. Adv. Comput. Intell. Intell. Informatics.

Online Learning of Genetic Network Programming and its Application to Prisoner's Dilemma Game

Shingo Mabu, Kotaro Hirasawa, Junichi Murata, 2003 .

Learning of Genetic Network Programming ( GNP )

J. Murata, K. Hirasawa, Jinglu Hu, 2002 .

Rule pool updating through Sarsa‐learning to improve adaptability in changing environments

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2014 .

An evolutionary multi‐issue negotiation model

Shingo Mabu, Kotaro Hirasawa, Md. Tofazzal Hossain, 2012 .

Adaptability analysis of genetic network programming with reinforcement learning in dynamically changing environments

Shingo Mabu, Kotaro Hirasawa, Andre Tjahjadi, 2012, Expert Syst. Appl..

Multi-order Rule Accumulation for an Agent Control Problem in Non-Markov Environments

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2012 .

Classification based on distribution of average matching degree and Gaussian function and its application to intrusion detection

Yuhong Li, S. Mabu, K. Hirasawa, 2012, 2012 Proceedings of SICE Annual Conference (SICE).

Continuous traveling time prediction using Genetic Network Programming-based data mining and Neural Networks

Huiyu Zhou, S. Mabu, K. Hirasawa, 2012, 2012 Proceedings of SICE Annual Conference (SICE).

Rule accumulation method based on Credit Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Wei Xu, 2012, 2012 IEEE Congress on Evolutionary Computation.

Genetic Network Programming-Sarsa with Multi-Subroutines for Trading Rules on Stock Markets

Shingo Mabu, Kotaro Hirasawa, Yang Yang, 2012 .

Evolving asset selection using genetic network programming

Shingo Mabu, Kotaro Hirasawa, Victor Parque, 2012 .

Traffic prediction using time related association rules and vehicle routing

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Fuzzy genetic Network Programming with Reinforcement Learning for mobile robot navigation

Shingo Mabu, Kotaro Hirasawa, Siti Sendari, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

A pruning method for accumulated rules by genetic network programming

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2011, SICE Annual Conference 2011.

Trading rules on stock markets using Genetic Network Programming-Sarsa Learning with plural subroutines

Shingo Mabu, Kotaro Hirasawa, Jianhua Li, 2011, SICE Annual Conference 2011.

Multi-Order Rules Extraction by Genetic Network Programming with Rule Accumulation and its Application to Stock Trading Problems

Shingo Mabu, Kotaro Hirasawa, Yafei Xing, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Fuzzy intertransaction class association rule mining using Genetic Network Programming for stock market prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2011 .

Efficient program generation by evolving graph structures with multi-start nodes

Shingo Mabu, Kotaro Hirasawa, K. Hirasawa, 2011, Appl. Soft Comput..

Genetic Network Programming with new genetic operators

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Evaluation on the robustness of Genetic Network Programming with reinforcement learning

Shingo Mabu, Kotaro Hirasawa, Siti Sendari, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Asset selection in global financial markets using Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Victor Parque, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

GNP-Sarsa with subroutines for trading rules on stock markets

Shingo Mabu, Kotaro Hirasawa, Jianhua Li, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Genetic network programming with route nodes

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2010, TENCON 2010 - 2010 IEEE Region 10 Conference.

Robust genetic network programming on asset selection

Shingo Mabu, Kotaro Hirasawa, Victor Parque, 2010, TENCON 2010 - 2010 IEEE Region 10 Conference.

Genetic network programming with exception control

Shingo Mabu, Kotaro Hirasawa, QingBiao Meng, 2010, Proceedings of SICE Annual Conference 2010.

Generating stock trading signals based on matching degree with extracted rules by genetic network programming

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2010, Proceedings of SICE Annual Conference 2010.

Enhancing global portfolio optimization using genetic network programming

Shingo Mabu, Kotaro Hirasawa, Victor Parque, 2010, Proceedings of SICE Annual Conference 2010.

Evolving Asset Portfolios by Genetic Relation Algorithm

Shingo Mabu, Kotaro Hirasawa, Victor Parque, 2010, J. Adv. Comput. Intell. Intell. Informatics.

A Novel Taxi Dispatch System Integrating a Multi-Customer Strategy and Genetic Network Programming

Qingbiao Meng, Shingo Mabu, Kotaro Hirasawa, 2010, J. Adv. Comput. Intell. Intell. Informatics.

A portfolio selection strategy using Genetic Relation Algorithm

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2010, IEEE Congress on Evolutionary Computation.

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010 .

Intertransaction Class Association Rule Mining Based on Genetic Network Programming and Its Application to Stock Market Prediction

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2010 .

Traffic Flow Prediction with Genetic Network Programming (GNP)

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Genetic Network Programming with General Individual Reconstruction

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2009, 2009 ICCAS-SICE.

A study on energy consumption of elevator group supervisory control systems using genetic network programming

Shingo Mabu, Kotaro Hirasawa, Lu Yu, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Genetic Network Programming with Rule Accumulation and its Application to Tile-World Problem

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Genetic Network Programming with Rule Accumulation Considering Judgment Order

Shingo Mabu, Kotaro Hirasawa, Lutao Wang, 2009, 2009 IEEE Congress on Evolutionary Computation.

Genetic Network Programming with Rule Chains

K. Shimada, S. Mabu, K. Hirasawa, 2008, 2008 SICE Annual Conference.

Stock trading model for multi-brands optimization based on Genetic Network Programming with control nodes

Yan Chen, K. Shimada, S. Mabu, 2008, 2008 SICE Annual Conference.

Evaluation of varying portfolio construction of stocks using Genetic Network Programming with control nodes

K. Hirasawa, K. Shimada, S. Mabu, 2008, 2008 SICE Annual Conference.

Genetic Network Programming with rules

Shingo Mabu, Kotaro Hirasawa, Kaoru Shimada, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Performance Evaluation of Genetic Network Programming with Actor-Critic for Creating Mobile Robot Behavior

Shingo Mabu, Kotaro Hirasawa, Takayuki Furuzuki, 2008 .

Stock trading rules using genetic network programming with actor-critic

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2007, 2007 IEEE Congress on Evolutionary Computation.

Buying and selling stocks of multi brands using genetic network programming with control nodes

Jinglu Hu, S. Mabu, K. Hirasawa, 2007, SICE Annual Conference 2007.

Elevator Group Supervisory Control System Using Genetic Network Programming with Macro Nodes and Reinforcement Learning

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2007 .

Trading Rules on Stock Markets Using Genetic Network Programming with Candle Chart

Shingo Mabu, Kotaro Hirasawa, Takayuki Furuzuki, 2007 .

Trading Rules on the Stock Markets using Genetic Network Programming with Candlestick Chart

Shingo Mabu, Kotaro Hirasawa, Yoshihiro Izumi, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Genetic Network Programming with Evolution and Learning and Its Application to the Tileworld Problem

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, 2004 .

Online learning of genetic network programming (GNP)

Shingo Mabu, Kotaro Hirasawa, Junichi Murata, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Algorithm for Route Planning with Multiple Intermediate Destinations

Shingo Mabu, Kotaro Hirasawa, Manoj Kanta Mainali, 2011 .

Optimal route planning with restrictions for car navigation systems

Shingo Mabu, Kotaro Hirasawa, Xianneng Li, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Semi-supervised CycleGAN for domain transformation of chest CT images and its application to opacity classification of diffuse lung diseases

Shingo Mabu, Shoji Kido, Takashi Kuremoto, 2021, International Journal of Computer Assisted Radiology and Surgery.

Automatic Classification of Respiratory Sounds Based on Convolutional Neural Network with Multi Images

Tohru Kamiya, S. Kido, S. Mabu, 2020, ICBSP.

Reinforcement Learning with Symbiotic Relationships for Multiagent Environments

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, 2015, J. Robotics Netw. Artif. Life.

Generating stock trading rules using genetic network programming with flag nodes and adjustment of importance indexes

Shingo Mabu, Kotaro Hirasawa, Yan Chen, 2008 .

An Improved Reinforcement Learning System Using Affective Factors

Shingo Mabu, Kunikazu Kobayashi, Masanao Obayashi, 2013, Robotics.

Object Detection for Chest X-ray Image Diagnosis Using Deep Learning with Pseudo Labeling

Shingo Mabu, Thanawit Gerdprasert, S. Mabu, 2021, 2021 IEEE 12th International Workshop on Computational Intelligence and Applications (IWCIA).

Dynamic optimal route search algorithm for car navigation systems with preferences by dynamic programming

Shingo Mabu, Kotaro Hirasawa, Shanqing Yu, 2011 .