| 2026 | AAAI | On Coresets for End-to-end Learning from Crowds. | Hang Yang, Zhiwu Li, Witold Pedrycz |
| 2026 | DASFAA | Mining Large Independent Sets on Massive Graphs. | Yu Zhang, Witold Pedrycz, Chanjuan Liu, Enqiang Zhu |
| 2026 | ICDE | GeminiSketch: An Accurate and Efficient Sketch for Summarizing Temporal Graph Streams with Rolling-Out Elimination. | Xuyang Jing, Chenhao Zhang, Zheng Yan, Qingze Jiang, Witold Pedrycz, Mingjun Wang, Cong Wang |
| 2025 | ICAISC | Dimensionality-Based Evaluation of Fuzzy Models Developed for High-Dimensional Data. | Rami Al-Hmouz, Witold Pedrycz, Majdi Mansouri, Ahmed Al-Hmouz |
| 2025 | ICAISC | Application of Adaptive PSO Algorithm in Design of FIR Filters. | Kamil Pipka, Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz |
| 2025 | ICDE | TardySketch: A Framework for Cardinality Estimation Adaptable to Sliding Windows. | Xuyang Jing, Qinghua Cao, Chenhao Zhang, Zheng Yan, Wenxiu Ding, Witold Pedrycz, Pu Wang |
| 2025 | IJCAI | Adaptive Deep Learning from Crowds. | Hang Yang, Zhiwu Li, Witold Pedrycz |
| 2025 | IECON | Robust Control of Drill String in Horizontal Boreholes of Coal Mines Considering Wall Friction. | Xiao Liu, Luefeng Chen, Chengda Lu, Min Wu, Witold Pedrycz |
| 2024 | ICAISC | Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. | Pawel Karczmarek, Rafal Stegierski, Bartlomiej Ambrozkiewicz, Andrzej Koszewnik, Daniel Oldziej, Arkadiusz Syta, Michal Dolecki, Adam Kiersztyn, Albert Rachwal, Konrad Smolinski, Witold Pedrycz |
| 2024 | ICCS | A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification. | Rauzan Sumara, Wladyslaw Homenda, Witold Pedrycz, Fusheng Yu |
| 2024 | SMC | Building Consensus in Group Decision-Making with Intuitionistic Reciprocal Preference Relations: An Analysis of Various Protocols of Information Granularity Distribution. | Juan Carlos Gonzlez-Quesada, Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Witold Pedrycz |
| 2023 | ICMLC | A Novel Preference Scale Function Based on Poincar Metric for Decision-Making. | Youpeng Yang, Sanghyuk Lee, Hao Lan Zhang, Witold Pedrycz, Kyeong Soo Kim |
| 2022 | ICCS | ARIMA Feature-Based Approach to Time Series Classification. | Agnieszka Jastrzebska, Wladyslaw Homenda, Witold Pedrycz |
| 2022 | ICMLC | Negative Hesitation Soft Fuzzy Sets and its Application on Decision Making Problems. | Youpeng Yang, Sanhgyuk Lee, Haolan Zhang, Witold Pedrycz |
| 2022 | ICSE | Issues in the Adoption of the Scaled Agile Framework. | Paolo Ciancarini, Artem V. Kruglov, Witold Pedrycz, Dilshat Salikhov, Giancarlo Succi |
| 2022 | ICSoft | Federated Learning, Knowledge Transfer, and Knowledge Distillation: Developments with Information Granules. | Witold Pedrycz |
| 2022 | MSR | Automatically Prioritizing and Assigning Tasks from Code Repositories in Puzzle Driven Development. | Yegor Bugayenko, Ayomide Bakare, Arina Cheverda, Mirko Farina, Artem V. Kruglov, Yaroslav Plaksin, Giancarlo Succi, Witold Pedrycz |
| 2022 | MSR | Extracting Corrective Actions from Code Repositories. | Yegor Bugayenko, Kirill Daniakin, Mirko Farina, Firas Jolha, Artem V. Kruglov, Giancarlo Succi, Witold Pedrycz |
| 2022 | SMC | Managing Inconsistency With an Optimal Distribution of Information Granularity in Fuzzy Preference Relations. | Francisco Javier Cabrerizo, Juan Carlos Gonzlez-Quesada, Enrique Herrera-Viedma, Arturas Kaklauskas, Witold Pedrycz |
| 2021 | COMPLEXIS | Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules. | Witold Pedrycz |
| 2020 | ICAISC | n-ary Isolation Forest: An Experimental Comparative Analysis. | Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz |
| 2020 | IJCNN | Minority Oversampling Using Sensitivity. | Jianjun Zhang, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang, Chris D. Nugent |
| 2020 | SMC | A Granular Consensus Approach With Minimum Adjustment for Multi-criteria Group Decision Making. | Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma |
| 2019 | CEC | Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. | Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz |
| 2019 | ICAISC | Generalizations of Aggregation Functions for Face Recognition. | Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz |
| 2019 | ISKE | Keynote Speech 1 From Data to Symbols: A Unified Perspective Through Information Granules. | Witold Pedrycz |
| 2019 | ISKE | Entropy-Based Symmetric Implicational Method for R-and (S, N)-Implications. | Yiming Tang, Xiaocheng Song, Fuji Ren, Witold Pedrycz |
| 2019 | SMC | A Deep Learning Model with Data Enrichment for Intent Detection and Slot Filling. | Slawomir Dadas, Jaroslaw Protasiewicz, Witold Pedrycz |
| 2019 | SoMeT | Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular. | Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma |
| 2018 | ICAISC | An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features. | Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz |
| 2018 | ICAISC | On Some Aspects of an Aggregation Mechanism in Face Recognition Problems. | Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz |
| 2018 | ICAISC | Multi-level Aggregation in Face Recognition. | Adam Kiersztyn, Pawel Karczmarek, Witold Pedrycz |
| 2018 | ICAISC | Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge. | Adam Kiersztyn, Pawel Karczmarek, Khrystyna Zhadkovska, Witold Pedrycz |
| 2018 | ICDCS | PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization. | Huangke Chen, Xiaomin Zhu, Witold Pedrycz, Shu Yin, Guohua Wu, Hui Yan |
| 2018 | SMC | Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach. | Francisco Javier Cabrerizo, Juan Antonio Morente-Molinera, Sergio Alonso, Witold Pedrycz, Enrique Herrera-Viedma |
| 2017 | DATE | A true random number generator based on parallel STT-MTJs. | Yuanzhuo Qu, Jie Han, Bruce F. Cockburn, Witold Pedrycz, Yue Zhang, Weisheng Zhao |
| 2017 | ICAISC | An Evaluation of Fuzzy Measure for Face Recognition. | Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz |
| 2017 | ICPRAM | Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. | Mario G. C. A. Cimino, Federico A. Galatolo, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini |
| 2017 | IFSA | On the design of similarity measures based on fuzzy integral. | Jaehoon Cha, Sanghyuk Lee, Kyeong Soo Kim, Witold Pedrycz |
| 2017 | SMC | Analysis of optimization algorithms in automated test pattern generation for sequential circuits. | Majed M. Alateeq, Witold Pedrycz |
| 2017 | SMC | An improvement of multiplicative consistency of reciprocal preference relations: A framework of granular computing. | Francisco Javier Cabrerizo, Ignacio Javier Prez, Witold Pedrycz, Enrique Herrera-Viedma |
| 2016 | ACIIDS | Multiple Kernel Based Collaborative Fuzzy Clustering Algorithm. | Trong Hop Dang, Long Thanh Ngo, Witold Pedrycz |
| 2016 | ICAISC | Linguistic Descriptors and Analytic Hierarchy Process in Face Recognition Realized by Humans. | Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki |
| 2016 | IJCNN | Face recognition by humans performed on basis of linguistic descriptors and neural networks. | Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz |
| 2016 | IJCNN | A substitution of the general partial differential equation with extended polynomial networks. | Ladislav Zjavka, Vclav Snsel, Varun Kumar Ojha, Witold Pedrycz |
| 2016 | ICSE | Applying scrum to the army: a case study. | Luigi Benedicenti, Franco Raffaele Cotugno, Paolo Ciancarini, Angelo Messina, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi |
| 2016 | ICSE | Assessing the process of an Eastern European software SME using systemic analysis, GQM, and reliability growth models: a case study. | Vladimir Ivanov, Manuel Mazzara, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi |
| 2016 | SMC | Advanced Fuzzy Possibilistic C-means Clustering based on Granular Computing. | Hung Quoc Truong, Long Thanh Ngo, Witold Pedrycz |
| 2015 | DATE | Minimizing the number of process corner simulations during design verification. | Michael Shoniker, Bruce F. Cockburn, Jie Han, Witold Pedrycz |
| 2015 | FQAS | LORI: Linguistically Oriented RDF Interface for Querying Fuzzy Temporal Data. | Majid RobatJazi, Marek Z. Reformat, Witold Pedrycz, Petr Muslek |
| 2015 | ICAART | Rejecting Foreign Elements in Pattern Recognition Problem - Reinforced Training of Rejection Level. | Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz |
| 2015 | ICAART | Time Series Modelling with Fuzzy Cognitive Maps - Study on an Alternative Concept's Representation Method. | Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz |
| 2015 | ICAISC | The Directed Compatibility Between Ordered Fuzzy Numbers - A Base Tool for a Direction Sensitive Fuzzy Information Processing. | Piotr Prokopowicz, Witold Pedrycz |
| 2014 | ESANN | An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps. | Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz |
| 2014 | ICAART | Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments. | Wladyslaw Homenda, Agnieszka Jastrzebska, Witold Pedrycz |
| 2014 | IJCNN | Classification with rejection based on various SVM techniques. | Wladyslaw Homenda, Marcin Luckner, Witold Pedrycz |
| 2014 | SoMeT | Improving Consistency in Fuzzy Preference Relations with an Allocation of Information Granularity. | Francisco Javier Cabrerizo, Witold Pedrycz, Francisco Chiclana, Enrique Herrera-Viedma |
| 2014 | SoMeT | A New Selection Process Based on Granular Computing for Group Decision Making Problems. | Francisco Javier Cabrerizo, Raquel Urea, Juan Antonio Morente-Molinera, Witold Pedrycz, Francisco Chiclana, Enrique Herrera-Viedma |
| 2013 | IFSA | Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering. | Eric Chalmers, Witold Pedrycz, Edmond Lou |
| 2013 | IFSA | Finite automata with imperfect information as tools for accumulating information. | Wladyslaw Homenda, Witold Pedrycz |
| 2013 | IFSA | Anomaly detection in time series data using a fuzzy c-means clustering. | Hesam Izakian, Witold Pedrycz |
| 2013 | IFSA | Growing rule-based fuzzy model developed with the aid of fuzzy clustering. | W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz |
| 2013 | IFSA | A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO. | W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz |
| 2013 | IFSA | Interval-based analysis of BOCR (benefits, opportunities, costs and risks) models evaluated by multiple experts. | K. Krishna Mohan, Marek Z. Reformat, Witold Pedrycz |
| 2013 | IFSA | Fuzzy relational structures: Learning alternatives for fuzzy modeling. | Orion Fausto Reyes-Galaviz, Witold Pedrycz |
| 2013 | IFSA | Application of granular fuzzy modeling for abstracting labour productivity knowledge bases. | Abraham Assefa Tsehayae, Witold Pedrycz, Aminah Robinson Fayek |
| 2013 | IFSA | A new granular particle swarm optimization variant for Granular optimization problems. | Guohua Wu, Witold Pedrycz, Dishan Qiu, Manhao Ma |
| 2013 | IFSA | Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs. | Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz |
| 2013 | IFSA | Neighborhood Rough Sets based Multi-Label classification. | Ying Yu, Witold Pedrycz, Duoqian Miao, Hongyun Zhang |
| 2013 | IFSA | Fuzzy granular principal curves algorithm for large data sets. | Hongyun Zhang, Duoqian Miao, Witold Pedrycz |
| 2013 | SMC | Fuzzy Rule-Based System through Granular Computing. | Sharifah Sakinah Syed Ahmad, Witold Pedrycz |
| 2012 | CEC | Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. | Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz |
| 2012 | ESANN | Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA. | Rafal Dlugosz, Marta Kolasa, Michal Szulc, Witold Pedrycz, Pierre-Andr Farine |
| 2012 | ESANN | Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology. | Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Pierre-Andr Farine |
| 2012 | ICCCI | Finite Automata with Imperfect Information as Classification Tools. | Wladyslaw Homenda, Witold Pedrycz |
| 2012 | ICCCI | From Fuzzy Cognitive Maps to Granular Cognitive Maps. | Witold Pedrycz, Wladyslaw Homenda |
| 2012 | SMC | Ontology-based framework for reasoning with fuzzy temporal data. | Majid RobatJazi, Marek Z. Reformat, Witold Pedrycz |
| 2012 | SEKE | Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling. | Kuwen Li, Marek Z. Reformat, Witold Pedrycz, Jinfeng Yu |
| 2011 | ESANN | Fisherman learning algorithm of the SOM realized in the CMOS technology. | Rafal Dlugosz, Marta Kolasa, Witold Pedrycz |
| 2011 | ESEM | Predicting Development Effort from User Stories. | Pekka Abrahamsson, Ilenia Fronza, Raimund Moser, Jelena Vlasenko, Witold Pedrycz |
| 2011 | IJCCI | Concepts and Design of Granular Fuzzy Neural Networks - New Constructs of Computational Intelligence. | Witold Pedrycz |
| 2011 | ISNN | Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. | Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu |
| 2011 | SMC | Feature and instance selection via cooperative PSO. | Sharifah Sakinah Syed Ahmad, Witold Pedrycz |
| 2010 | ECMS | Collaborative Granular Modeling And Simulation. | Witold Pedrycz |
| 2010 | ESANN | Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. | Rafal Dlugosz, Marta Kolasa, Witold Pedrycz |
| 2010 | IPMU | Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets. | Witold Pedrycz, Janusz Kacprzyk, Slawomir Zadrozny |
| 2010 | ISDA | Proximity fuzzy clustering and its application to time series clustering and prediction. | Daniel Graves, Witold Pedrycz |
| 2009 | ESANN | Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. | Rafal Dlugosz, Witold Pedrycz |
| 2009 | EUSFLAT | Multivariate Segmentation of Time Series with Differential Evolution. | Daniel Graves, Witold Pedrycz |
| 2009 | EUSFLAT | Discriminatory Components for Pattern Classification. | Nick J. Pizzi, Witold Pedrycz |
| 2009 | EUSFLAT | Sorted Kernel Matrices as Cluster Validity Indexes. | Francisco Queiroz, Antonio Braga, Witold Pedrycz |
| 2009 | IIWAS | Real-time fuzzy switching regression analysis: a convex hull approach. | Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz |
| 2009 | IJCCI | Computational Intelligence - The Quests and Opportunities. | Witold Pedrycz |
| 2009 | SMC | Numeric Data to Information Granules and Computing with Words. | Stuart Harvey Rubin, Witold Pedrycz |
| 2009 | SMC | Fuzzy Random Facility Location Problems with Recourse. | Shuming Wang, Junzo Watada, Witold Pedrycz |
| 2008 | ESEM | Analysis of the reliability of a subset of change metrics for defect prediction. | Raimund Moser, Witold Pedrycz, Giancarlo Succi |
| 2008 | ICSE | A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction. | Raimund Moser, Witold Pedrycz, Giancarlo Succi |
| 2008 | PROFES | A Model to Identify Refactoring Effort during Maintenance by Mining Source Code Repositories. | Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi |
| 2008 | SEKE | Fuzziness in the Semantic Web: Survey and Future Directions. | Seyed Koosha Golmohammadi, Marek Z. Reformat, Witold Pedrycz |
| 2007 | CIDM | Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. | Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz |
| 2007 | ESANN | Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. | Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz |
| 2007 | ESEM | Effort Prediction in Iterative Software Development Processes - Incremental Versus Global Prediction Models. | Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi |
| 2007 | GRC | Type-2 Fuzzy Logic: Theory and Applications. | Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz |
| 2007 | ICCS | Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process. | Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz |
| 2007 | ICCSA | Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization. | Keon-Jun Park, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz, Seong-Whan Jang |
| 2007 | ICNC | Applying Genetic Algorithms to Efficiently Locate Mobile Terminals in Personal Communication Networks. | Yi-hua Zhu, Witold Pedrycz |
| 2007 | IJCNN | Parallel Learning of Large Fuzzy Cognitive Maps. | Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz |
| 2007 | ISNN | Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms. | Sung-Kwun Oh, In-Tae Lee, Witold Pedrycz, Hyun-Ki Kim |
| 2007 | SEKE | Incremental Effort Prediction Models in Agile Development using Radial Basis Functions. | Raimund Moser, Witold Pedrycz, Giancarlo Succi |
| 2006 | GRC | The roots of granular computing. | Andrzej Bargiela, Witold Pedrycz |
| 2006 | ICANN | Interpolating Support Information Granules. | Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz |
| 2006 | ISNN | Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz |
| 2006 | ISNN | Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. | Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz |
| 2006 | PRICAI | GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process. | Sung-Kwun Oh, Witold Pedrycz, Wan-Su Kim, Hyun-Ki Kim |
| 2006 | SMC | Computational Intelligence Techniques for Building Transparent Construction Performance Models. | Long Chen, Witold Pedrycz, C. L. Philip Chen |
| 2005 | ICCS | Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn |
| 2005 | ICCS | Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yong-Kab Kim |
| 2005 | ICCS | Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. | Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim |
| 2005 | ICCSA | Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim |
| 2005 | IJCNN | Stochastic feature selection for the discrimination of biomedical spectra. | Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz |
| 2005 | IRI | Granular Computing in Knowledge Integration and Reuse. | Witold Pedrycz |
| 2005 | IWANN | Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks. | Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Yong-Kab Kim |
| 2005 | IWANN | IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. | Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee |
| 2005 | MDAI | Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. | Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz |
| 2005 | MDAI | Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim |
| 2005 | MDAI | A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. | Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz |
| 2005 | MDAI | Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim |
| 2004 | FlAIRS | Proactive Utilization of Proximity-Oriented Information Inside an Agent-based Framework. | Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa |
| 2004 | HIS | Granular Modeling: The Synergy of Granular Computing and Fuzzy Logic. | Witold Pedrycz |
| 2004 | ICCS | Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. | Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee |
| 2004 | ICCS | Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. | Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn |
| 2004 | IJCNN | Classification of magnetic resonance spectra using parallel randomized feature selection. | Nicolino J. Pizzi, Witold Pedrycz |
| 2004 | ISNN | A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim |
| 2004 | ISNN | Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim |
| 2004 | ISNN | A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yong-Kab Kim |
| 2004 | IV | Dimensionality Reduction for Content-Based Image Classification. | Edyta Mrwka, Andrs Dorado, Witold Pedrycz, Ebroul Izquierdo |
| 2004 | KES | Medical Diagnosis System Using the Intelligent Fuzzy Systems. | Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz |
| 2003 | EUSFLAT | Proximity fuzzy clustering for web context analysis. | Vincenzo Loia, Witold Pedrycz, Sabrina Senatore |
| 2003 | IFSA | A Semi-supervised Clutsering Algorithm for Data Exploration. | Abdelhamid Bouchachia, Witold Pedrycz |
| 2003 | KES | Exclusion/Inclusion Fuzzy Classification Network. | Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka |
| 2002 | COMPSAC | Logic-Based Granular Prototyping. | Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota |
| 2002 | SEKE | Computational intelligence as an emerging paradigm of software engineering. | Witold Pedrycz |
| 2001 | ESANN | One-to-many mappings represented on feed-forward networks. | Roelof K. Brouwer, Witold Pedrycz |
| 2001 | EUSFLAT | Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms. | Hung T. Nguyen, Vladik Kreinovich, Witold Pedrycz |
| 2001 | ICSE | Holmes: An Intelligent System to Support Software Product Line Development. | Giancarlo Succi, Jason Yip, Witold Pedrycz |
| 2001 | SMC | Perception issues in data mining. | Michael H. Smith, Witold Pedrycz |
| 2001 | SAC | Application of computational intelligence techniques in active networks. | Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz |
| 2000 | IJCNN | Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. | Nicolino J. Pizzi, Witold Pedrycz |
| 2000 | ICSE | Holmes: a system to support software product lines. | Giancarlo Succi, Jason Yip, Eric Liu, Witold Pedrycz |
| 2000 | SMC | Expanding the meaning of and applications for data mining. | Michael H. Smith, Witold Pedrycz |
| 2000 | SAC | Information Granulation for Concept Formation. | Witold Pedrycz, Athanasios V. Vasilakos, Adam Gacek |
| 1998 | SMC | Controller design using multigranular architecture of fuzzy inference and Petri nets. | Takeshi Furuhashi, James F. Peters, Witold Pedrycz |
| 1991 | ECSQARU | Difference Fuzzy Relation Equations: Studies in Dynamical Systems. | Antonio Di Nola, Witold Pedrycz, Salvatore Sessa |
| 1991 | IJCAI | Fuzzy Dynamic Systems. | Witold Pedrycz |
| 1990 | IJCNN | A fuzzy cognitive system: examination of a referential neural architecture. | J. Diamond, R. McLeod, Witold Pedrycz |