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2020 – today
- 2024
[j52]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: 102301 (2024)- [j51]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): 658-678 (2024) - 2023
- [i2]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 abs/2310.19775 (2023) - 2021
- [j50]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): 243-266 (2021) - [j49]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): 307-318 (2021) - 2020
- [j48]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): 47-56 (2020) - [j47]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): 243-253 (2020) - [c45]Piotr Woldan, Piotr Duda, Yoichi Hayashi:
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. ICAISC (2) 2020: 455-465 - [c44]Marcin Zalasinski, Krzysztof Cpalka, Tacjana Niksa-Rynkiewicz, Yoichi Hayashi:
Signature Partitioning Using Selected Population-Based Algorithms. ICAISC (1) 2020: 480-488 - [p1]Yoichi Hayashi:
Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances. AI and ML for Digital Pathology 2020: 95-101
2010 – 2019
- 2019
- [j46]Yoichi Hayashi:
The Right Direction Needed to Develop White-Box Deep Learning in Radiology, Pathology, and Ophthalmology: A Short Review. Frontiers Robotics AI 6: 24 (2019) - [i1]Wlodzislaw Duch, Rafal Adamczak, Yoichi Hayashi:
Neural eliminators and classifiers. CoRR abs/1901.09632 (2019) - 2018
- [j45]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: 4084850:1-4084850:20 (2018) - [j44]Guido Bologna, Yoichi Hayashi:
A Rule Extraction Study from SVM on Sentiment Analysis. Big Data Cogn. Comput. 2(1): 6 (2018) - [j43]Yoichi Hayashi, Hideaki Iiduka:
Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization. Neurocomputing 273: 367-372 (2018) - [j42]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) - [j41]Yoichi Hayashi, Tatsuhiro Oishi:
High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring. New Gener. Comput. 36(4): 393-418 (2018) - 2017
- [j40]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): 265 (2017) - [j39]Yoichi Hayashi:
Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease. Knowl. Based Syst. 131: 170-182 (2017) - [c43]Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi:
Hybrid Initialization in the Process of Evolutionary Learning. ICAISC (1) 2017: 380-393 - [c42]Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi:
A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. ICAISC (1) 2017: 747-760 - 2016
- [j38]Yoichi Hayashi, Rudy Setiono, Arnulfo P. Azcarraga:
Neural network training and rule extraction with augmented discretized input. Neurocomputing 207: 610-622 (2016) - [j37]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): 35 (2016) - [j36]Esmaeil Hadavandi, Jamal Shahrabi, Yoichi Hayashi:
SPMoE: a novel subspace-projected mixture of experts model for multi-target regression problems. Soft Comput. 20(5): 2047-2065 (2016) - [c41]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: 218-231 - [c40]Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi:
New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. ICAISC (1) 2016: 230-247 - [c39]Guido Bologna, Yoichi Hayashi:
A rule extraction study on a neural network trained by deep learning. IJCNN 2016: 668-675 - 2015
- [j35]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): 1550021:1-1550021:20 (2015) - [c38]Lukasz Laskowski, Jerzy Jelonkiewicz, Yoichi Hayashi:
Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem. ICAISC (1) 2015: 59-71 - [c37]Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi:
New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. ICAISC 2015: 175-188 - [c36]Yoichi Hayashi, Shota Fujisawa:
Strategic approach for Multiple-MLP Ensemble Re-RX algorithm. IJCNN 2015: 1-8 - [c35]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: 1-8 - [c34]Guido Bologna, Yoichi Hayashi:
QSVM: A Support Vector Machine for Rule Extraction. IWANN (2) 2015: 276-289 - 2014
- [c33]Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi:
New Method for Dynamic Signature Verification Based on Global Features. ICAISC (2) 2014: 231-245 - [c32]Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa:
Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm. ICANN 2014: 491-498 - [c31]Yoichi Hayashi, Yuki Tanaka, Tomoki Izawa, Shota Fujisawa:
Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. ICONIP (1) 2014: 619-627 - [c30]Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi:
MofN rule extraction from neural networks trained with augmented discretized input. IJCNN 2014: 1079-1086 - 2013
- [j34]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) - [c29]Yoichi Hayashi:
Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds - (Invited Paper). ICAISC (1) 2013: 1-19 - [c28]Yoichi Hayashi, Ryusuke Sato, Sushmita Mitra:
A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm. IJCNN 2013: 1-7 - 2012
- [c27]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: 47-54 - [c26]Lena Pietruczuk, Yoichi Hayashi:
Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise. ICAISC (1) 2012: 160-168 - [c25]Atsushi Hara, Yoichi Hayashi:
A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction. ICANN (1) 2012: 515-522 - [c24]Atsushi Hara, Yoichi Hayashi:
Ensemble neural network rule extraction using Re-RX algorithm. IJCNN 2012: 1-6 - 2011
- [j33]Sushmita Mitra, Ranajit Das, Yoichi Hayashi:
Genetic Networks and Soft Computing. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 94-107 (2011) - [c23]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: 427-434 - [c22]Yoichi Hayashi, Lena Pietruczuk:
On General Regression Neural Network in a Nonstationary Environment. PPAM (1) 2011: 461-469 - [c21]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: 490-500 - 2010
- [j32]Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono:
Understanding consumer heterogeneity: A business intelligence application of neural networks. Knowl. Based Syst. 23(8): 856-863 (2010)
2000 – 2009
- 2009
- [j31]Yoichi Hayashi, Ming-Huei Hsieh, Rudy Setiono:
Predicting consumer preference for fast-food franchises: a data mining approach. J. Oper. Res. Soc. 60(9): 1221-1229 (2009) - 2008
- [j30]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): 1020-1028 (2008) - 2007
- [c20]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: 79-84 - 2006
- [j29]Sushmita Mitra, Yoichi Hayashi:
Bioinformatics with soft computing. IEEE Trans. Syst. Man Cybern. Syst. 36(5): 616-635 (2006) - [c19]Koichi Odajima, Yoichi Hayashi, Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction. IJCNN 2006: 1833-1839 - 2005
- [c18]Klaus-Peter Adlassnig, Alexander Blacky, Walter Koller, Yoichi Hayashi:
ICU-Based Monitoring of Nosocomial Infections. CIMCA/IAWTIC 2005: 1054-1059 - [c17]Klaus-Peter Adlassnig, Wolfgang Horak, Andrea Rappelsberger, Yoichi Hayashi:
Embedded Knowledge-Based Diagnostic Intelligence to Interpret Hepatitis Serology Test Results. CIMCA/IAWTIC 2005: 1080-1085 - 2004
- [j28]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): 1-26 (2004) - 2003
- [c16]Robert Nowicki, Agata Pokropinska, Yoichi Hayashi:
On Designing of Neuro-Fuzzy Systems. PPAM 2003: 641-649 - 2002
- [j27]Yoichi Hayashi, Rudy Setiono:
Combining neural network predictions for medical diagnosis. Comput. Biol. Medicine 32(4): 237-246 (2002) - [j26]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving fuzzy equations using evolutionary algorithms and neural nets. Soft Comput. 6(2): 116-123 (2002) - [j25]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Linear systems of first order ordinary differential equations: fuzzy initial conditions. Soft Comput. 6(6): 415-421 (2002) - [j24]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving fuzzy problems in operations research: inventory control. Soft Comput. 7(2): 121-129 (2002) - 2001
- [j23]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy hierarchical analysis revisited. Eur. J. Oper. Res. 129(1): 48-64 (2001) - [j22]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy Queueing Theory Revisited. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 527-537 (2001) - [j21]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Multi-objective Fully Fuzzified Linear Programming. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 605-621 (2001) - [j20]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Intelligent Consultant. J. Adv. Comput. Intell. Intell. Informatics 5(2): 119-124 (2001) - [j19]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy Difference Equations: The Initial Value Problem. J. Adv. Comput. Intell. Intell. Informatics 5(6): 315-325 (2001) - [c15]Danuta Rutkowska, Robert Nowicki, Yoichi Hayashi:
Parallel Processing by Implication-Based Neuro-Fuzzy Systems. PPAM 2001: 599-607 - 2000
- [j18]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): 205-216 (2000) - [j17]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): 294-301 (2000) - [j16]Sushmita Mitra, Yoichi Hayashi:
Neuro-fuzzy rule generation: survey in soft computing framework. IEEE Trans. Neural Networks Learn. Syst. 11(3): 748-768 (2000) - [c14]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy integral equations. FUZZ-IEEE 2000: 319-323 - [c13]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving fuzzy problems in operations research: inventory control. FUZZ-IEEE 2000: 352-357
1990 – 1999
- 1999
- [j15]James J. Buckley, Yoichi Hayashi:
Can neural nets be universal approximators for fuzzy functions? Fuzzy Sets Syst. 101(3): 323-330 (1999) - [j14]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Neural net solutions to fuzzy linear programming. Fuzzy Sets Syst. 106(2): 99-111 (1999) - [j13]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): 83-98 (1999) - [j12]Yoichi Hayashi:
Editorial: Professor Ernest Czogala Memorial Issue Part 1. J. Adv. Comput. Intell. Intell. Informatics 3(3): 149-150 (1999) - [j11]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Fuzzy Geometry Database. J. Adv. Comput. Intell. Intell. Informatics 3(3): 164-170 (1999) - [j10]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Solving Fuzzy Problems in Operations Research. J. Adv. Comput. Intell. Intell. Informatics 3(3): 171-176 (1999) - [j9]Danuta Rutkowska, Yoichi Hayashi:
Neuro-Fuzzy Systems Approaches. J. Adv. Comput. Intell. Intell. Informatics 3(3): 177-185 (1999) - [j8]Yoichi Hayashi:
Editorial: Professor Ernest Czogala Memorial Issue Part 2. J. Adv. Comput. Intell. Intell. Informatics 3(4): 213 (1999) - [j7]Ernest Czogala, Jacek M. Leski, Yoichi Hayashi:
A Classifier Based on Neuro-Fuzzy Inference System Ernest. J. Adv. Comput. Intell. Intell. Informatics 3(4): 282-288 (1999) - [c12]James J. Buckley, Thomas Feuring, Yoichi Hayashi:
Neural nets, fuzzy and crisp, in the design of an artificial agent. IJCNN 1999: 2414-2418 - [c11]Thomas Feuring, James J. Buckley, Yoichi Hayashi:
Fuzzy neural nets can solve the overfitting problem. IJCNN 1999: 4197-4201 - 1998
- [j6]James J. Buckley, Yoichi Hayashi:
Applications of fuzzy chaos to fuzzy simulation. Fuzzy Sets Syst. 99(2): 151-157 (1998) - [c10]Nikhil R. Pal, Kallol Banerjee, Yoichi Hayashi:
SUM-PI Network: A New Multilayered Feed-Forward Network. ICONIP 1998: 687-690 - [c9]Thomas Feuring, James J. Buckley, Yoichi Hayashi:
Adjusting fuzzy weights in fuzzy neural nets. KES (2) 1998: 402-406 - [c8]Thomas Feuring, James J. Buckley, Yoichi Hayashi:
Verbal controlling. KES (2) 1998: 407-414 - 1997
- [j5]James J. Buckley, Esfandiar Eslami, Yoichi Hayashi:
Solving fuzzy equations using neural nets. Fuzzy Sets Syst. 86(3): 271-278 (1997) - [c7]James J. Buckley, Yoichi Hayashi:
Neural nets can be universal approximators for fuzzy functions. ICNN 1997: 2347-2350 - [c6]James J. Buckley, Yoichi Hayashi:
Neural net approximations to solutions of systems of fuzzy linear equations. ICNN 1997: 2355-2358 - 1995
- [c5]Yoichi Hayashi, James J. Buckley:
Implementation of fuzzy max-min neural controller. ICNN 1995: 3113-3117 - 1994
- [j4]Yoichi Hayashi, James J. Buckley:
Approximations between fuzzy expert systems and neural networks. Int. J. Approx. Reason. 10(1): 63-73 (1994) - 1993
- [j3]Yoichi Hayashi, James J. Buckley, Ernest Czogala:
Fuzzy neural network with fuzzy signals and weights. Int. J. Intell. Syst. 8(4): 527-537 (1993) - 1992
- [j2]Yoichi Hayashi, Hideto Ikeda:
A structural analysis of database management system technology with some Japanese experience. Inf. Manag. 22(6): 347-362 (1992) - 1990
- [c4]Stephen I. Gallant, Yoichi Hayashi:
A Neural Network Expert System with Confidence Measurements. IPMU 1990: 562-567 - [c3]Yoichi Hayashi:
A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules. NIPS 1990: 578-584
1980 – 1989
- 1989
- [j1]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): 261-274 (1989) - 1988
- [c2]S. Srinivasan, Pradip Dey, Yoichi Hayashi:
A flexible interactive control structure for rule-based systems. ACM Conference on Computer Science 1988: 447-453 - [c1]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: 731-733
Coauthor Index
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