Yoichi Hayashi

According to our database1, Yoichi Hayashi authored at least 86 papers between 1988 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review.
Front. Robotics and AI, 2019

Neural eliminators and classifiers.
CoRR, 2019

2018
High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring.
New Generation Comput., 2018

Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction.
Neural Computation, 2018

Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization.
Neurocomputing, 2018

A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs.
Applied Comp. Int. Soft Computing, 2018

2017
Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease.
Knowl.-Based Syst., 2017

Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning.
J. Artif. Intell. Soft Comput. Res., 2017

A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Hybrid Initialization in the Process of Evolutionary Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems.
Soft Comput., 2016

Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores.
J. Artif. Intell. Soft Comput. Res., 2016

Neural network training and rule extraction with augmented discretized input.
Neurocomputing, 2016

A rule extraction study on a neural network trained by deep learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications.
International Journal of Computational Intelligence and Applications, 2015

QSVM: A Support Vector Machine for Rule Extraction.
Proceedings of the Advances in Computational Intelligence, 2015

Three-MLP Ensemble Re-RX algorithm and recent classifiers for credit-risk evaluation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Strategic approach for Multiple-MLP Ensemble Re-RX algorithm.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
MofN rule extraction from neural networks trained with augmented discretized input.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

New Method for Dynamic Signature Verification Based on Global Features.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Neural Network Rule Extraction by a New Ensemble Concept and its Theoretical and Historical Background: a Review.
International Journal of Computational Intelligence and Applications, 2013

A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds - (Invited Paper).
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Ensemble neural network rule extraction using Re-RX algorithm.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011
Genetic Networks and Soft Computing.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

On General Regression Neural Network in a Nonstationary Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

2010
Understanding consumer heterogeneity: A business intelligence application of neural networks.
Knowl.-Based Syst., 2010

2009
Predicting consumer preference for fast-food franchises: a data mining approach.
JORS, 2009

2008
Greedy rule generation from discrete data and its use in neural network rule extraction.
Neural Networks, 2008

2007
Web-Based Decision Support in Selecting Patients with Parkinson's Disease for Deep Brain Stimulation.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006
Greedy rule generation from discrete data and its use in neural network rule extraction.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Embedded Knowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

ICU-Based Monitoring of Nosocomial Infections.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system.
Artif. Intell. Medicine, 2004

2003
On Designing of Neuro-Fuzzy Systems.
Proceedings of the Parallel Processing and Applied Mathematics, 2003

2002
Solving fuzzy problems in operations research: inventory control.
Soft Comput., 2002

Linear systems of first order ordinary differential equations: fuzzy initial conditions.
Soft Comput., 2002

Solving fuzzy equations using evolutionary algorithms and neural nets.
Soft Comput., 2002

Combining neural network predictions for medical diagnosis.
Comp. in Bio. and Med., 2002

2001
Fuzzy Difference Equations: The Initial Value Problem.
JACIII, 2001

Intelligent Consultant.
JACIII, 2001

Multi-objective Fully Fuzzified Linear Programming.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Fuzzy Queueing Theory Revisited.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001

Fuzzy hierarchical analysis revisited.
European Journal of Operational Research, 2001

Parallel Processing by Implication-Based Neuro-Fuzzy Systems.
Proceedings of the Parallel Processing and Applied Mathematics, 2001

2000
Neuro-fuzzy rule generation: survey in soft computing framework.
IEEE Trans. Neural Netw. Learning Syst., 2000

Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks.
JACIII, 2000

A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders.
Artif. Intell. Medicine, 2000

1999
Neuro-Fuzzy Systems Approaches.
JACIII, 1999

Editorial: Professor Ernest Czogala Memorial Issue Part 2.
JACIII, 1999

Editorial: Professor Ernest Czogala Memorial Issue Part 1.
JACIII, 1999

A Classifier Based on Neuro-Fuzzy Inference System Ernest.
JACIII, 1999

Solving Fuzzy Problems in Operations Research.
JACIII, 1999

Fuzzy Geometry Database.
JACIII, 1999

Multivariate Non-Linear Fuzzy Regression: An Evolutionary Algorithm Approach.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999

Can neural nets be universal approximators for fuzzy functions?
Fuzzy Sets Syst., 1999

Neural net solutions to fuzzy linear programming.
Fuzzy Sets Syst., 1999

Fuzzy neural nets can solve the overfitting problem.
Proceedings of the International Joint Conference Neural Networks, 1999

Neural nets, fuzzy and crisp, in the design of an artificial agent.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Applications of fuzzy chaos to fuzzy simulation.
Fuzzy Sets Syst., 1998

Verbal controlling.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

Adjusting fuzzy weights in fuzzy neural nets.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

SUM-PI Network: A New Multilayered Feed-Forward Network.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Solving fuzzy equations using neural nets.
Fuzzy Sets Syst., 1997

Neural net approximations to solutions of systems of fuzzy linear equations.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Neural nets can be universal approximators for fuzzy functions.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1995
Implementation of fuzzy max-min neural controller.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
Approximations between fuzzy expert systems and neural networks.
Int. J. Approx. Reasoning, 1994

1993
Fuzzy neural network with fuzzy signals and weights.
Int. J. Intell. Syst., 1993

1992
A structural analysis of database management system technology with some Japanese experience.
Inf. Manag., 1992

1990
A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

A Neural Network Expert System with Confidence Measurements.
Proceedings of the Uncertainty in Knowledge Bases, 1990

1989
A Combination of Strategies for Parsing Grammatical Agreement in Hindi.
IJPRAI, 1989

1988
A flexible interactive control structure for rule-based systems.
Proceedings of the Sixteenth ACM Annual Conference on Computer Science, 1988

A parallel algorithm for multi-dimensional fuzzy reasoning - toward a parallel fuzzy production system.
Proceedings of the Sixteenth ACM Annual Conference on Computer Science, 1988


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