Yoichi Hayashi

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 26

Top Topics

Signature Verification

Global Features

Rule Extraction

Top Venues

J. Artif. Intell. Soft Comput. Res.

Publications

Soma Onishi, Masahiro Nishimura, Ryota Fujimura, Yoichi Hayashi
Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm? Mach. Learn. Knowl. Extr. 6 (1) (2024)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Piotr Dziwiñski, Andrzej Przybyl, Pawel Trippner, Józef Paszkowski, Yoichi Hayashi
Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm. J. Artif. Intell. Soft Comput. Res. 11 (3) (2021)
Robert K. Nowicki, Robert Seliga, Dariusz Zelasko, Yoichi Hayashi
Performance Analysis of Rough Set-Based Hybrid Classification Systems in the Case of Missing Values. J. Artif. Intell. Soft Comput. Res. 11 (4) (2021)
Robert K. Nowicki, Konrad Grzanek, Yoichi Hayashi
Rough Support Vector Machine for Classification with Interval and Incomplete Data. J. Artif. Intell. Soft Comput. Res. 10 (1) (2020)
Piotr Woldan, Piotr Duda, Yoichi Hayashi
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. ICAISC (2) (2020)
Marcin Gabryel, Konrad Grzanek, Yoichi Hayashi
Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic. J. Artif. Intell. Soft Comput. Res. 10 (4) (2020)
Marcin Zalasinski, Krzysztof Cpalka, Tacjana Niksa-Rynkiewicz, Yoichi Hayashi
Signature Partitioning Using Selected Population-Based Algorithms. ICAISC (1) (2020)
Wlodzislaw Duch, Rafal Adamczak, Yoichi Hayashi
Neural eliminators and classifiers. CoRR (2019)
Yoichi Hayashi
The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review. Frontiers Robotics AI 6 (2019)
Yoichi Hayashi, Hideaki Iiduka
Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization. Neurocomputing 273 (2018)
Guido Bologna, Yoichi Hayashi
A Rule Extraction Study from SVM on Sentiment Analysis. Big Data Cogn. Comput. 2 (1) (2018)
Guido Bologna, Yoichi Hayashi
A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs. Appl. Comput. Intell. Soft Comput. 2018 (2018)
Yoichi Hayashi
Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction. Neural Comput. 30 (12) (2018)
Yoichi Hayashi, Tatsuhiro Oishi
High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring. New Gener. Comput. 36 (4) (2018)
Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi
A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. ICAISC (1) (2017)
Yoichi Hayashi
Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease. Knowl. Based Syst. 131 (2017)
Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi
Hybrid Initialization in the Process of Evolutionary Learning. ICAISC (1) (2017)
Guido Bologna, Yoichi Hayashi
Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning. J. Artif. Intell. Soft Comput. Res. 7 (4) (2017)
Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi
New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. ICAISC (1) (2016)
Yoichi Hayashi, Rudy Setiono, Arnulfo P. Azcarraga
Neural network training and rule extraction with augmented discretized input. Neurocomputing 207 (2016)
Yoichi Hayashi, Yuki Tanaka, Tomohiro Takagi, Takamichi Saito, Hideaki Iiduka, Hiroaki Kikuchi, Guido Bologna, Sushmita Mitra
Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores. J. Artif. Intell. Soft Comput. Res. 6 (1) (2016)
Guido Bologna, Yoichi Hayashi
A rule extraction study on a neural network trained by deep learning. IJCNN (2016)
Esmaeil Hadavandi, Jamal Shahrabi, Yoichi Hayashi
SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems. Soft Comput. 20 (5) (2016)
Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi
A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. ICAISC (2) (2016)
Yoichi Hayashi, Yuki Tanaka, Shonosuke Yukita, Satoshi Nakano, Guido Bologna
Three-MLP Ensemble Re-RX algorithm and recent classifiers for credit-risk evaluation. IJCNN (2015)
Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi
Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications. Int. J. Comput. Intell. Appl. 14 (4) (2015)
Guido Bologna, Yoichi Hayashi
QSVM: A Support Vector Machine for Rule Extraction. IWANN (2) (2015)
Lukasz Laskowski, Jerzy Jelonkiewicz, Yoichi Hayashi
Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem. ICAISC (1) (2015)
Yoichi Hayashi, Shota Fujisawa
Strategic approach for Multiple-MLP Ensemble Re-RX algorithm. IJCNN (2015)
Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi
New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. ICAISC (2015)
Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa
Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm. ICANN (2014)
Yoichi Hayashi, Yuki Tanaka, Tomoki Izawa, Shota Fujisawa
Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. ICONIP (1) (2014)
Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi
MofN rule extraction from neural networks trained with augmented discretized input. IJCNN (2014)
Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi
New Method for Dynamic Signature Verification Based on Global Features. ICAISC (2) (2014)
Yoichi Hayashi
Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds - (Invited Paper). ICAISC (1) (2013)
Yoichi Hayashi, Ryusuke Sato, Sushmita Mitra
A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm. IJCNN (2013)
Yoichi Hayashi
Neural Network Rule Extraction by a New Ensemble Concept and its Theoretical and Historical Background: a Review. Int. J. Comput. Intell. Appl. 12 (4) (2013)
Piotr Duda, Yoichi Hayashi, Maciej Jaworski
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment. ICAISC (1) (2012)
Atsushi Hara, Yoichi Hayashi
Ensemble neural network rule extraction using Re-RX algorithm. IJCNN (2012)
Lena Pietruczuk, Yoichi Hayashi
Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise. ICAISC (1) (2012)
Atsushi Hara, Yoichi Hayashi
A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction. ICANN (1) (2012)
Piotr Duda, Yoichi Hayashi
On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment. PPAM (1) (2011)
Yoichi Hayashi, Lena Pietruczuk
On General Regression Neural Network in a Nonstationary Environment. PPAM (1) (2011)
Maciej Jaworski, Yoichi Hayashi
On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment. PPAM (1) (2011)
Sushmita Mitra, Ranajit Das, Yoichi Hayashi
Genetic Networks and Soft Computing. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (1) (2011)
Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono
Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowl. Based Syst. 23 (8) (2010)
Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono
Predicting consumer preference for fast-food franchises: a data mining approach. J. Oper. Res. Soc. 60 (9) (2009)
Koichi Odajima, Yoichi Hayashi, Gong Tianxia, Rudy Setiono
Greedy rule generation from discrete data and its use in neural network rule extraction. Neural Networks 21 (7) (2008)
Marcus Vitek, Michaela Pinter, Andrea Rappelsberger, Yoichi Hayashi, Klaus-Peter Adlassnig
Web-Based Decision Support in Selecting Patients with Parkinson's Disease for Deep Brain Stimulation. CBMS (2007)
Sushmita Mitra, Yoichi Hayashi
Bioinformatics with soft computing. IEEE Trans. Syst. Man Cybern. Syst. 36 (5) (2006)
Koichi Odajima, Yoichi Hayashi, Rudy Setiono
Greedy rule generation from discrete data and its use in neural network rule extraction. IJCNN (2006)
Klaus-Peter Adlassnig, Alexander Blacky, Walter Koller, Yoichi Hayashi
ICU-Based Monitoring of Nosocomial Infections. CIMCA/IAWTIC (2005)
Klaus-Peter Adlassnig, Wolfgang Horak, Andrea Rappelsberger, Yoichi Hayashi
Embedded Knowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results. CIMCA/IAWTIC (2005)
Karl Boegl, Klaus-Peter Adlassnig, Yoichi Hayashi, Thomas E. Rothenfluh, Harald Leitich
Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system. Artif. Intell. Medicine 30 (1) (2004)
Robert Nowicki, Agata Pokropinska, Yoichi Hayashi
On Designing of Neuro-Fuzzy Systems. PPAM (2003)
Yoichi Hayashi, Rudy Setiono
Combining neural network predictions for medical diagnosis. Comput. Biol. Medicine 32 (4) (2002)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Solving fuzzy equations using evolutionary algorithms and neural nets. Soft Comput. 6 (2) (2002)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Linear systems of first order ordinary differential equations: fuzzy initial conditions. Soft Comput. 6 (6) (2002)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Solving fuzzy problems in operations research: inventory control. Soft Comput. 7 (2) (2002)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Fuzzy Difference Equations: The Initial Value Problem. J. Adv. Comput. Intell. Intell. Informatics 5 (6) (2001)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Intelligent Consultant. J. Adv. Comput. Intell. Intell. Informatics 5 (2) (2001)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Multi-objective Fully Fuzzified Linear Programming. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9 (5) (2001)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Fuzzy hierarchical analysis revisited. Eur. J. Oper. Res. 129 (1) (2001)
Danuta Rutkowska, Robert Nowicki, Yoichi Hayashi
Parallel Processing by Implication-Based Neuro-Fuzzy Systems. PPAM (2001)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Fuzzy Queueing Theory Revisited. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9 (5) (2001)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Fuzzy integral equations. FUZZ-IEEE (2000)
Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida
Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 4 (4) (2000)
Sushmita Mitra, Yoichi Hayashi
Neuro-fuzzy rule generation: survey in soft computing framework. IEEE Trans. Neural Networks Learn. Syst. 11 (3) (2000)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Solving fuzzy problems in operations research: inventory control. FUZZ-IEEE (2000)
Yoichi Hayashi, Rudy Setiono, Katsumi Yoshida
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artif. Intell. Medicine 20 (3) (2000)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Neural nets, fuzzy and crisp, in the design of an artificial agent. IJCNN (1999)
Yoichi Hayashi
Editorial: Professor Ernest Czogala Memorial Issue Part 2. J. Adv. Comput. Intell. Intell. Informatics 3 (4) (1999)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Solving Fuzzy Problems in Operations Research. J. Adv. Comput. Intell. Intell. Informatics 3 (3) (1999)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Fuzzy Geometry Database. J. Adv. Comput. Intell. Intell. Informatics 3 (3) (1999)
James J. Buckley, Yoichi Hayashi
Can neural nets be universal approximators for fuzzy functions? Fuzzy Sets Syst. 101 (3) (1999)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Neural net solutions to fuzzy linear programming. Fuzzy Sets Syst. 106 (2) (1999)
Thomas Feuring, James J. Buckley, Yoichi Hayashi
Fuzzy neural nets can solve the overfitting problem. IJCNN (1999)
James J. Buckley, Thomas Feuring, Yoichi Hayashi
Multivariate Non-Linear Fuzzy Regression: An Evolutionary Algorithm Approach. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7 (2) (1999)
Ernest Czogala, Jacek M. Leski, Yoichi Hayashi
A Classifier Based on Neuro-Fuzzy Inference System Ernest. J. Adv. Comput. Intell. Intell. Informatics 3 (4) (1999)
Danuta Rutkowska, Yoichi Hayashi
Neuro-Fuzzy Systems Approaches. J. Adv. Comput. Intell. Intell. Informatics 3 (3) (1999)
Yoichi Hayashi
Editorial: Professor Ernest Czogala Memorial Issue Part 1. J. Adv. Comput. Intell. Intell. Informatics 3 (3) (1999)
Thomas Feuring, James J. Buckley, Yoichi Hayashi
Verbal controlling. KES (2) (1998)
Nikhil R. Pal, Kallol Banerjee, Yoichi Hayashi
SUM-PI Network: A New Multilayered Feed-Forward Network. ICONIP (1998)
Thomas Feuring, James J. Buckley, Yoichi Hayashi
Adjusting fuzzy weights in fuzzy neural nets. KES (2) (1998)
James J. Buckley, Yoichi Hayashi
Applications of fuzzy chaos to fuzzy simulation. Fuzzy Sets Syst. 99 (2) (1998)
James J. Buckley, Esfandiar Eslami, Yoichi Hayashi
Solving fuzzy equations using neural nets. Fuzzy Sets Syst. 86 (3) (1997)
James J. Buckley, Yoichi Hayashi
Neural net approximations to solutions of systems of fuzzy linear equations. ICNN (1997)
James J. Buckley, Yoichi Hayashi
Neural nets can be universal approximators for fuzzy functions. ICNN (1997)
Yoichi Hayashi, James J. Buckley
Implementation of fuzzy max-min neural controller. ICNN (1995)
Yoichi Hayashi, James J. Buckley
Approximations between fuzzy expert systems and neural networks. Int. J. Approx. Reason. 10 (1) (1994)
Yoichi Hayashi, James J. Buckley, Ernest Czogala
Fuzzy neural network with fuzzy signals and weights. Int. J. Intell. Syst. 8 (4) (1993)
Yoichi Hayashi, Hideto Ikeda
A structural analysis of database management system technology with some Japanese experience. Inf. Manag. 22 (6) (1992)
Yoichi Hayashi
A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules. NIPS (1990)
Stephen I. Gallant, Yoichi Hayashi
A Neural Network Expert System with Confidence Measurements. IPMU (1990)
Pradip Dey, Yoichi Hayashi, Edwin L. Battistella
A Combination of Strategies for Parsing Grammatical Agreement in Hindi. Int. J. Pattern Recognit. Artif. Intell. 3 (2) (1989)
S. Srinivasan, Pradip Dey, Yoichi Hayashi
A flexible interactive control structure for rule-based systems. ACM Conference on Computer Science (1988)
Yoichi Hayashi, Masato Nakai, Pradip Dey
A parallel algorithm for multi-dimensional fuzzy reasoning - toward a parallel fuzzy production system. ACM Conference on Computer Science (1988)