| 2020 | ICAISC | Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. | Piotr Woldan, Piotr Duda, Yoichi Hayashi |
| 2020 | ICAISC | Signature Partitioning Using Selected Population-Based Algorithms. | Marcin Zalasinski, Krzysztof Cpalka, Tacjana Niksa-Rynkiewicz, Yoichi Hayashi |
| 2017 | ICAISC | Hybrid Initialization in the Process of Evolutionary Learning. | Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi |
| 2017 | ICAISC | A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. | Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi |
| 2016 | ICAISC | New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. | Krystian Lapa, Krzysztof Cpalka, Yoichi Hayashi |
| 2016 | ICAISC | A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. | Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi |
| 2016 | IJCNN | A rule extraction study on a neural network trained by deep learning. | Guido Bologna, Yoichi Hayashi |
| 2015 | ICAISC | Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem. | Lukasz Laskowski, Jerzy Jelonkiewicz, Yoichi Hayashi |
| 2015 | ICAISC | New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. | Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi |
| 2015 | ICCE | Selective Prediction of Student Emotions based on Unusually Strong EEG Signals. | Judith J. Azcarraga, Nelson Marcos, Arnulfo P. Azcarraga, Yoichi Hayashi |
| 2015 | IJCNN | Strategic approach for Multiple-MLP Ensemble Re-RX algorithm. | Yoichi Hayashi, Shota Fujisawa |
| 2015 | IJCNN | Three-MLP Ensemble Re-RX algorithm and recent classifiers for credit-risk evaluation. | Yoichi Hayashi, Yuki Tanaka, Shonosuke Yukita, Satoshi Nakano, Guido Bologna |
| 2015 | IWANN | QSVM: A Support Vector Machine for Rule Extraction. | Guido Bologna, Yoichi Hayashi |
| 2014 | ICAISC | New Method for Dynamic Signature Verification Based on Global Features. | Marcin Zalasinski, Krzysztof Cpalka, Yoichi Hayashi |
| 2014 | ICANN | Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm. | Yoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa |
| 2014 | ICONIP | Characteristics and Potential Developments of Multiple-MLP Ensemble Re-RX Algorithm. | Yoichi Hayashi, Yuki Tanaka, Tomoki Izawa, Shota Fujisawa |
| 2014 | IJCNN | MofN rule extraction from neural networks trained with augmented discretized input. | Rudy Setiono, Arnulfo P. Azcarraga, Yoichi Hayashi |
| 2013 | ICAISC | Neural Data Analysis: Ensemble Neural Network Rule Extraction Approach and Its Theoretical and Historical Backgrounds - (Invited Paper). | Yoichi Hayashi |
| 2013 | IJCNN | A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm. | Yoichi Hayashi, Ryusuke Sato, Sushmita Mitra |
| 2012 | ICAISC | On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment. | Piotr Duda, Yoichi Hayashi, Maciej Jaworski |
| 2012 | ICAISC | Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise. | Lena Pietruczuk, Yoichi Hayashi |
| 2012 | ICANN | A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction. | Atsushi Hara, Yoichi Hayashi |
| 2012 | IJCNN | Ensemble neural network rule extraction using Re-RX algorithm. | Atsushi Hara, Yoichi Hayashi |
| 2011 | PPAM | On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment. | Piotr Duda, Yoichi Hayashi |
| 2011 | PPAM | On General Regression Neural Network in a Nonstationary Environment. | Yoichi Hayashi, Lena Pietruczuk |
| 2011 | PPAM | 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 |
| 2007 | CBMS | 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 |
| 2006 | IJCNN | Greedy rule generation from discrete data and its use in neural network rule extraction. | Koichi Odajima, Yoichi Hayashi, Rudy Setiono |
| 2003 | PPAM | On Designing of Neuro-Fuzzy Systems. | Robert Nowicki, Agata Pokropinska, Yoichi Hayashi |
| 2001 | PPAM | Parallel Processing by Implication-Based Neuro-Fuzzy Systems. | Danuta Rutkowska, Robert Nowicki, Yoichi Hayashi |
| 1999 | IJCNN | Neural nets, fuzzy and crisp, in the design of an artificial agent. | James J. Buckley, Thomas Feuring, Yoichi Hayashi |
| 1999 | IJCNN | Fuzzy neural nets can solve the overfitting problem. | Thomas Feuring, James J. Buckley, Yoichi Hayashi |
| 1998 | ICONIP | SUM-PI Network: A New Multilayered Feed-Forward Network. | Nikhil R. Pal, Kallol Banerjee, Yoichi Hayashi |
| 1998 | KES | Adjusting fuzzy weights in fuzzy neural nets. | Thomas Feuring, James J. Buckley, Yoichi Hayashi |
| 1998 | KES | Verbal controlling. | Thomas Feuring, James J. Buckley, Yoichi Hayashi |
| 1990 | IPMU | A Neural Network Expert System with Confidence Measurements. | Stephen I. Gallant, Yoichi Hayashi |