A parallel algorithm for multi-dimensional fuzzy reasoning - toward a parallel fuzzy production system. - Yoichi Hayashi; Masato Nakai; Pradip Dey (ACM Conference on Computer Science, 1988)

A flexible interactive control structure for rule-based systems. - S. Srinivasan; Pradip Dey; Yoichi Hayashi (ACM Conference on Computer Science, 1988)

A Combination of Strategies for Parsing Grammatical Agreement in Hindi. - Pradip Dey; Yoichi Hayashi; Edwin L. Battistella (Int. J. Pattern Recognit. Artif. Intell., 1989)

A Neural Network Expert System with Confidence Measurements. - Stephen I. Gallant; Yoichi Hayashi (IPMU, 1990)

A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules. - Yoichi Hayashi (NIPS, 1990)

A structural analysis of database management system technology with some Japanese experience. - Yoichi Hayashi; Hideto Ikeda (Inf. Manag., 1992)

Fuzzy neural network with fuzzy signals and weights. - Yoichi Hayashi; James J. Buckley; Ernest Czogala (Int. J. Intell. Syst., 1993)

Approximations between fuzzy expert systems and neural networks. - Yoichi Hayashi; James J. Buckley (Int. J. Approx. Reason., 1994)

Implementation of fuzzy max-min neural controller. - Yoichi Hayashi; James J. Buckley (ICNN, 1995)

Neural nets can be universal approximators for fuzzy functions. - James J. Buckley; Yoichi Hayashi (ICNN, 1997)

Neural net approximations to solutions of systems of fuzzy linear equations. - James J. Buckley; Yoichi Hayashi (ICNN, 1997)

Solving fuzzy equations using neural nets. - James J. Buckley; Esfandiar Eslami; Yoichi Hayashi (Fuzzy Sets Syst., 1997)

SUM-PI Network: A New Multilayered Feed-Forward Network. - Nikhil R. Pal; Kallol Banerjee; Yoichi Hayashi (ICONIP, 1998)

Adjusting fuzzy weights in fuzzy neural nets. - Thomas Feuring; James J. Buckley; Yoichi Hayashi (KES (2), 1998)

Verbal controlling. - Thomas Feuring; James J. Buckley; Yoichi Hayashi (KES (2), 1998)

Applications of fuzzy chaos to fuzzy simulation. - James J. Buckley; Yoichi Hayashi (Fuzzy Sets Syst., 1998)

Neural nets, fuzzy and crisp, in the design of an artificial agent. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (IJCNN, 1999)

Fuzzy neural nets can solve the overfitting problem. - Thomas Feuring; James J. Buckley; Yoichi Hayashi (IJCNN, 1999)

Neural net solutions to fuzzy linear programming. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Fuzzy Sets Syst., 1999)

Can neural nets be universal approximators for fuzzy functions? - James J. Buckley; Yoichi Hayashi (Fuzzy Sets Syst., 1999)

Multivariate Non-Linear Fuzzy Regression: An Evolutionary Algorithm Approach. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999)

Fuzzy Geometry Database. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Solving Fuzzy Problems in Operations Research. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

A Classifier Based on Neuro-Fuzzy Inference System Ernest. - Ernest Czogala; Jacek M. Leski; Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Editorial: Professor Ernest Czogala Memorial Issue Part 1. - Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Editorial: Professor Ernest Czogala Memorial Issue Part 2. - Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Neuro-Fuzzy Systems Approaches. - Danuta Rutkowska; Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Fuzzy integral equations. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (FUZZ-IEEE, 2000)

A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. - Yoichi Hayashi; Rudy Setiono; Katsumi Yoshida (Artif. Intell. Medicine, 2000)

Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. - Yoichi Hayashi; Rudy Setiono; Katsumi Yoshida (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Neuro-fuzzy rule generation: survey in soft computing framework. - Sushmita Mitra; Yoichi Hayashi (IEEE Trans. Neural Networks Learn. Syst., 2000)

Parallel Processing by Implication-Based Neuro-Fuzzy Systems. - Danuta Rutkowska; Robert Nowicki; Yoichi Hayashi (PPAM, 2001)

Fuzzy hierarchical analysis revisited. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Eur. J. Oper. Res., 2001)

Fuzzy Queueing Theory Revisited. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Multi-objective Fully Fuzzified Linear Programming. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Intelligent Consultant. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 2001)

Fuzzy Difference Equations: The Initial Value Problem. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (J. Adv. Comput. Intell. Intell. Informatics, 2001)

Combining neural network predictions for medical diagnosis. - Yoichi Hayashi; Rudy Setiono (Comput. Biol. Medicine, 2002)

Solving fuzzy equations using evolutionary algorithms and neural nets. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Soft Comput., 2002)

Linear systems of first order ordinary differential equations: fuzzy initial conditions. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Soft Comput., 2002)

Solving fuzzy problems in operations research: inventory control. - James J. Buckley; Thomas Feuring; Yoichi Hayashi (Soft Comput., 2002)

On Designing of Neuro-Fuzzy Systems. - Robert Nowicki; Agata Pokropinska; Yoichi Hayashi (PPAM, 2003)

Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system. - Karl Boegl; Klaus-Peter Adlassnig; Yoichi Hayashi; Thomas E. Rothenfluh; Harald Leitich (Artif. Intell. Medicine, 2004)

ICU-Based Monitoring of Nosocomial Infections. - Klaus-Peter Adlassnig; Alexander Blacky; Walter Koller; Yoichi Hayashi (CIMCA/IAWTIC, 2005)

Embedded Knowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results. - Klaus-Peter Adlassnig; Wolfgang Horak; Andrea Rappelsberger; Yoichi Hayashi (CIMCA/IAWTIC, 2005)

Greedy rule generation from discrete data and its use in neural network rule extraction. - Koichi Odajima; Yoichi Hayashi; Rudy Setiono (IJCNN, 2006)

Bioinformatics with soft computing. - Sushmita Mitra; Yoichi Hayashi (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Web-Based Decision Support in Selecting Patients with Parkinson's Disease for Deep Brain Stimulation. - Marcus Vitek; Michaela Pinter; Andrea Rappelsberger; Yoichi Hayashi; Klaus-Peter Adlassnig (CBMS, 2007)

Greedy rule generation from discrete data and its use in neural network rule extraction. - Koichi Odajima; Yoichi Hayashi; Gong Tianxia; Rudy Setiono (Neural Networks, 2008)

Predicting consumer preference for fast-food franchises: a data mining approach. - Yoichi Hayashi; Ming-Huei Hsieh; Rudy Setiono (J. Oper. Res. Soc., 2009)

Understanding consumer heterogeneity: A business intelligence application of neural networks. - Yoichi Hayashi; Ming-Huei Hsieh; Rudy Setiono (Knowl. Based Syst., 2010)

On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment. - Piotr Duda; Yoichi Hayashi (PPAM (1), 2011)

On General Regression Neural Network in a Nonstationary Environment. - Yoichi Hayashi; Lena Pietruczuk (PPAM (1), 2011)

On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment. - Maciej Jaworski; Yoichi Hayashi (PPAM (1), 2011)

Genetic Networks and Soft Computing. - Sushmita Mitra; Ranajit Das; Yoichi Hayashi (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment. - Piotr Duda; Yoichi Hayashi; Maciej Jaworski (ICAISC (1), 2012)

Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise. - Lena Pietruczuk; Yoichi Hayashi (ICAISC (1), 2012)

A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction. - Atsushi Hara; Yoichi Hayashi (ICANN (1), 2012)

Ensemble neural network rule extraction using Re-RX algorithm. - Atsushi Hara; Yoichi Hayashi (IJCNN, 2012)

Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds - (Invited Paper). - Yoichi Hayashi (ICAISC (1), 2013)

A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm. - Yoichi Hayashi; Ryusuke Sato; Sushmita Mitra (IJCNN, 2013)

Neural Network Rule Extraction by a New Ensemble Concept and its Theoretical and Historical Background: a Review. - Yoichi Hayashi (Int. J. Comput. Intell. Appl., 2013)

New Method for Dynamic Signature Verification Based on Global Features. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (2), 2014)

Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm. - Yoichi Hayashi; Yuki Tanaka; Shota Fujisawa; Tomoki Izawa (ICANN, 2014)

Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. - Yoichi Hayashi; Yuki Tanaka; Tomoki Izawa; Shota Fujisawa (ICONIP (1), 2014)

MofN rule extraction from neural networks trained with augmented discretized input. - Rudy Setiono; Arnulfo P. Azcarraga; Yoichi Hayashi (IJCNN, 2014)

Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem. - Lukasz Laskowski; Jerzy Jelonkiewicz; Yoichi Hayashi (ICAISC (1), 2015)

New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC, 2015)

Selective Prediction of Student Emotions based on Unusually Strong EEG Signals. - Judith J. Azcarraga; Nelson Marcos; Arnulfo P. Azcarraga; Yoichi Hayashi (ICCE, 2015)

Strategic approach for Multiple-MLP Ensemble Re-RX algorithm. - Yoichi Hayashi; Shota Fujisawa (IJCNN, 2015)

Three-MLP Ensemble Re-RX algorithm and recent classifiers for credit-risk evaluation. - Yoichi Hayashi; Yuki Tanaka; Shonosuke Yukita; Satoshi Nakano; Guido Bologna (IJCNN, 2015)

QSVM: A Support Vector Machine for Rule Extraction. - Guido Bologna; Yoichi Hayashi (IWANN (2), 2015)

Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications. - Rudy Setiono; Arnulfo P. Azcarraga; Yoichi Hayashi (Int. J. Comput. Intell. Appl., 2015)

New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. - Krystian Lapa; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2016)

A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (2), 2016)

A rule extraction study on a neural network trained by deep learning. - Guido Bologna; Yoichi Hayashi (IJCNN, 2016)

Neural network training and rule extraction with augmented discretized input. - Yoichi Hayashi; Rudy Setiono; Arnulfo P. Azcarraga (Neurocomputing, 2016)

Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores. - Yoichi Hayashi; Yuki Tanaka; Tomohiro Takagi; Takamichi Saito; Hideaki Iiduka; Hiroaki Kikuchi; Guido Bologna; Sushmita Mitra (J. Artif. Intell. Soft Comput. Res., 2016)

SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems. - Esmaeil Hadavandi; Jamal Shahrabi; Yoichi Hayashi (Soft Comput., 2016)

Hybrid Initialization in the Process of Evolutionary Learning. - Krystian Lapa; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2017)

A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2017)

Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning. - Guido Bologna; Yoichi Hayashi (J. Artif. Intell. Soft Comput. Res., 2017)

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

A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs. - Guido Bologna; Yoichi Hayashi (Appl. Comput. Intell. Soft Comput., 2018)

A Rule Extraction Study from SVM on Sentiment Analysis. - Guido Bologna; Yoichi Hayashi (Big Data Cogn. Comput., 2018)

Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization. - Yoichi Hayashi; Hideaki Iiduka (Neurocomputing, 2018)

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

High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring. - Yoichi Hayashi; Tatsuhiro Oishi (New Gener. Comput., 2018)

Neural eliminators and classifiers. - Wlodzislaw Duch; Rafal Adamczak; Yoichi Hayashi (CoRR, 2019)

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

Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. - Piotr Woldan; Piotr Duda; Yoichi Hayashi (ICAISC (2), 2020)

Signature Partitioning Using Selected Population-Based Algorithms. - Marcin Zalasinski; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz; Yoichi Hayashi (ICAISC (1), 2020)

Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic. - Marcin Gabryel; Konrad Grzanek; Yoichi Hayashi (J. Artif. Intell. Soft Comput. Res., 2020)

Rough Support Vector Machine for Classification with Interval and Incomplete Data. - Robert K. Nowicki; Konrad Grzanek; Yoichi Hayashi (J. Artif. Intell. Soft Comput. Res., 2020)

Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances. - Yoichi Hayashi (AI and ML for Digital Pathology, 2020)

Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm. - Piotr Dziwiñski; Andrzej Przybyl; Pawel Trippner; Józef Paszkowski; Yoichi Hayashi (J. Artif. Intell. Soft Comput. Res., 2021)

Performance Analysis of Rough Set-Based Hybrid Classification Systems in the Case of Missing Values. - Robert K. Nowicki; Robert Seliga; Dariusz Zelasko; Yoichi Hayashi (J. Artif. Intell. Soft Comput. Res., 2021)

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. - Luca Longo; Mario Brcic; Federico Cabitza; Jaesik Choi; Roberto Confalonieri 001; Javier Del Ser; Riccardo Guidotti; Yoichi Hayashi; Francisco Herrera; Andreas Holzinger; Richard Jiang 001; Hassan Khosravi; et al. (Inf. Fusion, 2024)

Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm? - Soma Onishi; Masahiro Nishimura; Ryota Fujimura; Yoichi Hayashi (Mach. Learn. Knowl. Extr., 2024)