A neuro-fuzzy network to generate human-understandable knowledge from data. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (Cogn. Syst. Res., 2002)

Design of Transparent Mamdani Fuzzy Inference Systems. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (HIS, 2003)

Discovering Prediction Rules by a Neuro-fuzzy Modeling Framework. - Giovanna Castellano; Ciro Castiello; Anna Maria Fanelli; Corrado Mencar (KES, 2003)

A fuzzy clustering approach for mining diagnostic rules. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (SMC, 2003)

Bi-monotonic Fuzzy Sets Lead to Optimal Fuzzy Interfaces. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (WILF, 2003)

Fuzzy Information Granules: a Compact, Transparent and Efficient Representation. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (J. Adv. Comput. Intell. Intell. Informatics, 2003)

A neuro-fuzzy methodology for predicting industrial discarded material properties. - Giovanna Castellano; Ciro Castiello; Anna Maria Fanelli; Corrado Mencar (Intelligenza Artificiale, 2004)

An empirical risk functional to improve learning in a neuro-fuzzy classifier. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Theory of fuzzy information granulation. - Corrado Mencar (2004)

Some Fundamental Interpretability Issues in Fuzzy Modeling. - Corrado Mencar; Giovanna Castellano; Anna Maria Fanelli (EUSFLAT Conf., 2005)

DCf: a double clustering framework for fuzzy information granulation. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (GrC, 2005)

Knowledge discovery by a neuro-fuzzy modeling framework. - Giovanna Castellano; Ciro Castiello; Anna Maria Fanelli; Corrado Mencar (Fuzzy Sets Syst., 2005)

Deriving prediction intervals for neuro-fuzzy networks. - Corrado Mencar; Giovanna Castellano; Anna Maria Fanelli (Math. Comput. Model., 2005)

Balancing Interpretability and Accuracy by Multi-Level Fuzzy Information Granulation. - Corrado Mencar; Giovanna Castellano; Anna Maria Fanelli (FUZZ-IEEE, 2006)

Interface optimality in fuzzy inference systems. - Corrado Mencar; Giovanna Castellano; Anna Maria Fanelli (Int. J. Approx. Reason., 2006)

DCg: Interpretable Granulation of Data through GA-based Double Clustering. - Corrado Mencar; Arianna Consiglio; Anna Maria Fanelli (FUZZ-IEEE, 2007)

Interpretable Granulation of Medical Data with DC. - Corrado Mencar; Arianna Consiglio; Anna Maria Fanelli (HIS, 2007)

Similarity-Based Fuzzy Clustering for User Profiling. - Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar; Maria Alessandra Torsello (Web Intelligence/IAT Workshops, 2007)

Improving the Classification Ability of DC* Algorithm. - Corrado Mencar; Arianna Consiglio; Giovanna Castellano; Anna Maria Fanelli (WILF, 2007)

On the Role of Interpretability in Fuzzy Data Mining. - Corrado Mencar; Giovanna Castellano; Anna Maria Fanelli (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007)

Distinguishability quantification of fuzzy sets. - Corrado Mencar; Giovanna Castellano; Anna Maria Fanelli (Inf. Sci., 2007)

A Neural Network for Water Level Prediction in Artesian Wells. - Corrado Mencar; Anna Maria Fanelli; Michele Chieco (CIMCA/IAWTIC/ISE, 2008)

A Profile Modelling Approach for E-Learning Systems. - Corrado Mencar; Ciro Castiello; Anna Maria Fanelli (ICCSA (2), 2008)

Fuzzy User Profiling in e-Learning Contexts. - Corrado Mencar; Ciro Castiello; Anna Maria Fanelli (KES (2), 2008)

Interpretability constraints for fuzzy information granulation. - Corrado Mencar; Anna Maria Fanelli (Inf. Sci., 2008)

A Logic-Based Approach for Evaluating Interpretability of Fuzzy Rule-Based Classifiers. - Corrado Mencar; Ciro Castiello; Anna Maria Fanelli (IFSA/EUSFLAT Conf., 2009)

A Study on Interpretability Conditions for Fuzzy Rule-Based Classifiers. - Raffaele Cannone; Ciro Castiello; Corrado Mencar; Anna Maria Fanelli (ISDA, 2009)

Item Recommendation with Veristic and Possibilistic Metadata: A Preliminary Approach. - Danilo Dell'Agnello; Corrado Mencar; Anna Maria Fanelli (ISDA, 2009)

Modeling User Preferences through Adaptive Fuzzy Profiles. - Corrado Mencar; Maria Alessandra Torsello; Danilo Dell'Agnello; Giovanna Castellano; Ciro Castiello (ISDA, 2009)

Interpretability Assessment of Fuzzy Rule-Based Classifiers. - Corrado Mencar; Ciro Castiello; Anna Maria Fanelli (WILF, 2009)

Interpretability of Fuzzy Information Granules. - Corrado Mencar (Human-Centric Information Processing Through Granular Modelling, 2009)

A System for Fuzzy Items Recommendation. - Corrado Mencar; Ciro Castiello; Danilo Dell'Agnello; Anna Maria Fanelli (Web Personalization in Intelligent Environments, 2009)

Data-driven design of fuzzy classification rules with semantic cointension. - Raffaele Cannone; Ciro Castiello; Corrado Mencar; Anna Maria Fanelli (FUZZ-IEEE, 2010)

A competitive learning strategy for adapting fuzzy user profiles. - Giovanna Castellano; Danilo Dell'Agnello; Anna Maria Fanelli; Corrado Mencar; Maria Alessandra Torsello (ISDA, 2010)

Learning Fuzzy User Profiles for Resource Recommendation. - Giovanna Castellano; Ciro Castiello; Danilo Dell'Agnello; Anna Maria Fanelli; Corrado Mencar; Maria Alessandra Torsello (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010)

Assessment of semantic cointension of fuzzy rule-based classifiers in a medical context. - Raffaele Cannone; Ciro Castiello; Anna Maria Fanelli; Corrado Mencar (ISDA, 2011)

Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering. - Gabriella Casalino; Nicoletta Del Buono; Corrado Mencar (WILF, 2011)

Serendipitous Fuzzy Item Recommendation with ProfileMatcher. - Danilo Dell'Agnello; Anna Maria Fanelli; Corrado Mencar; Massimo Minervini (WILF, 2011)

Interpretability assessment of fuzzy knowledge bases: A cointension based approach. - Corrado Mencar; Ciro Castiello; Raffaele Cannone; Anna Maria Fanelli (Int. J. Approx. Reason., 2011)

Design of fuzzy rule-based classifiers with semantic cointension. - Corrado Mencar; Ciro Castiello; Raffaele Cannone; Anna Maria Fanelli (Inf. Sci., 2011)

Design of Strong Fuzzy Partitions from Cuts. - Corrado Mencar; Marco Lucarelli; Ciro Castiello; Anna Maria Fanelli (EUSFLAT Conf., 2013)

Automatic Design of Interpretable Fuzzy Partitions with Variable Granularity: An Experimental Comparison. - Marco Lucarelli; Ciro Castiello; Anna Maria Fanelli; Corrado Mencar (ICAISC (1), 2013)

A New Heuristic Function for DC. - Marco Lucarelli; Corrado Mencar; Ciro Castiello; Anna Maria Fanelli (WILF, 2013)

Interpretability of Fuzzy Systems. - Corrado Mencar (WILF, 2013)

Fast Fuzzy Inference in Octave. - Piero Molino; Gianvito Pio; Corrado Mencar (Int. J. Comput. Intell. Syst., 2013)

Part-Based Data Analysis with Masked Non-negative Matrix Factorization. - Gabriella Casalino; Nicoletta Del Buono; Corrado Mencar (ICCSA (6), 2014)

Subtractive clustering for seeding non-negative matrix factorizations. - Gabriella Casalino; Nicoletta Del Buono; Corrado Mencar (Inf. Sci., 2014)

Managing NGS Differential Expression Uncertainty with Fuzzy Sets. - Arianna Consiglio; Corrado Mencar; Giorgio Grillo; Sabino Liuni (CIBB, 2015)

Towards fuzzy granulation in OWL ontologies. - Francesca Alessandra Lisi; Corrado Mencar (CILC, 2015)

Interpretable knowledge discovery from data with DC. - Marco Lucarelli; Ciro Castiello; Anna Maria Fanelli; Corrado Mencar (IFSA-EUSFLAT, 2015)

Interpretability of Fuzzy Systems: Current Research Trends and Prospects. - José Maria Alonso; Ciro Castiello; Corrado Mencar (Handbook of Computational Intelligence, 2015)

A System for Fuzzy Granulation of OWL Ontologies. - Francesca A. Lisi; Corrado Mencar (WILF, 2016)

A fuzzy method for RNA-Seq differential expression analysis in presence of multireads. - Arianna Consiglio; Corrado Mencar; Giorgio Grillo; Flaviana Marzano; Mariano Francesco Caratozzolo; Sabino Liuni (BMC Bioinform., 2016)

Building Cognitive Cities with Explainable Artificial Intelligent Systems. - José Maria Alonso; Corrado Mencar (CEx@AI*IA, 2017)

Efficiency improvement of DC∗ through a Genetic Guidance. - Ciro Castiello; Corrado Mencar; Marco Lucarelli; Franz Rothlauf (FUZZ-IEEE, 2017)

Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations. - Gabriella Casalino; Ciro Castiello; Nicoletta Del Buono; Flavia Esposito; Corrado Mencar (ICCSA (1), 2017)

Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations. - Gabriella Casalino; Ciro Castiello; Nicoletta Del Buono; Corrado Mencar (ICCSA (1), 2017)

Introducing Fuzzy Quantification in OWL 2 Ontologies. - Francesca Alessandra Lisi; Corrado Mencar (ICTCS/CILC, 2017)

Incremental adaptive semi-supervised fuzzy clustering for data stream classification. - Gabriella Casalino; Giovanna Castellano; Corrado Mencar (EAIS, 2018)

A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field. - José Maria Alonso; Ciro Castiello; Corrado Mencar (IPMU (1), 2018)

Explainable AI Beer Style Classifier. - José Maria Alonso; Alejandro Ramos-Soto; Ciro Castiello; Corrado Mencar (SICSA ReaLX, 2018)

Enhancing the DISSFCM Algorithm for Data Stream Classification. - Gabriella Casalino; Giovanna Castellano; Anna Maria Fanelli; Corrado Mencar (WILF, 2018)

Looking at the Branches and Roots. - Corrado Mencar (WILF, 2018)

Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling - Tutorial. - Corrado Mencar; José Maria Alonso (WILF, 2018)

A Granular Computing Method for OWL Ontologies. - Francesca A. Lisi; Corrado Mencar (Fundam. Informaticae, 2018)

A framework for intelligent Twitter data analysis with non-negative matrix factorization. - Gabriella Casalino; Ciro Castiello; Nicoletta Del Buono; Corrado Mencar (Int. J. Web Inf. Syst., 2018)

Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering. - Gabriella Casalino; Giovanna Castellano; Corrado Mencar (EUSFLAT Conf., 2019)

Exploiting Particle Swarm Optimization to Attune Strong Fuzzy Partitions Based on Cuts. - Ciro Castiello; Corrado Mencar (EUSFLAT Conf., 2019)

Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. - Jesús Alcalá-Fdez; José Maria Alonso; Ciro Castiello; Corrado Mencar; José M. Soto-Hidalgo (FUZZ-IEEE, 2019)

Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis. - Gabriella Casalino; Giovanna Castellano; Corrado Mencar (IV (1), 2019)

Interpretable fuzzy partitioning of classified data with variable granularity. - Ciro Castiello; Anna Maria Fanelli; Marco Lucarelli; Corrado Mencar (Appl. Soft Comput., 2019)

Data Stream Classification by Dynamic Incremental Semi-Supervised Fuzzy Clustering. - Gabriella Casalino; Giovanna Castellano; Corrado Mencar (Int. J. Artif. Intell. Tools, 2019)

Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images. - Giovanna Castellano; Ciro Castiello; Marco Cianciotta; Corrado Mencar; Gennaro Vessio (ECCV Workshops (4), 2020)

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Ali Al-Ali; Amr Mohamed 001; Bakour Imene; Bin Dong 006; et al. (ECCV Workshops (4), 2020)

An Incremental Algorithm for Granular Counting with Possibility Theory. - Corrado Mencar (FUZZ-IEEE, 2020)

Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks. - Giovanna Castellano; Ciro Castiello; Corrado Mencar; Gennaro Vessio (IJCNN, 2020)

Possibilistic Bounds for Granular Counting. - Corrado Mencar (IPMU (3), 2020)

Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks. - Giovanna Castellano; Ciro Castiello; Corrado Mencar; Gennaro Vessio (SOFSEM, 2020)

Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks. - Giovanna Castellano; Ciro Castiello; Corrado Mencar; Gennaro Vessio (IEEE Access, 2020)

Granular counting of uncertain data. - Corrado Mencar; Witold Pedrycz (Fuzzy Sets Syst., 2020)

Application of machine learning to predict obstructive sleep apnea syndrome severity. - Corrado Mencar; Crescenzio Gallo; Marco Mantero; Paolo Tarsia; Giovanna E. Carpagnano; Maria P. Foschino Barbaro; Donato Lacedonia (Health Informatics J., 2020)

Fine-Tuning the Fuzziness of Strong Fuzzy Partitions through PSO. - Ciro Castiello; Corrado Mencar (Int. J. Comput. Intell. Syst., 2020)

Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations. - Sergio Caputo; Giovanna Castellano; Francesco Greco; Corrado Mencar; Niccolò Petti; Gennaro Vessio (AI*IA, 2021)

Possibilistic Granular Count: Derivation and Extension to Granular Sum. - Corrado Mencar (IFSA/EUSFLAT/AGOP, 2021)

Descriptive Stability of Fuzzy Rule-Based Systems. - Corrado Mencar; Ciro Castiello (FUZZ-IEEE, 2021)

Highlights. - Giovanni Acampora; Tiago da Cruz Asmus; Benjamín R. C. Bedregal; Humberto Bustince; Graçaliz Pereira Dimuro; Javier Fernández 002; Chin-Teng Lin; Giancarlo Lucca; Corrado Mencar; Radko Mesiar; José Antonio Sanz Delgado; Autilia Vitiello (WILF, 2021)

Computer Vision Meets Drones: Our Research Experience. - Giovanna Castellano; Corrado Mencar; Gennaro Vessio (DP@AI*IA, 2022)

Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. - Giovanna Castellano; Corrado Mencar; Gaetano Sette; Francesco Saverio Troccoli; Gennaro Vessio (IJCNN, 2022)

Connections Between Granular Counts and Twofold Fuzzy Sets. - Corrado Mencar; Didier Dubois (IPMU (2), 2022)

Explainable and Trustworthy Artificial Intelligence [Guest Editorial]. - Jose Maria Alonso-Moral; Corrado Mencar; Hisao Ishibuchi (IEEE Comput. Intell. Mag., 2022)

Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference. - Gabriella Casalino; Giovanna Castellano; Ciro Castiello; Corrado Mencar (Soft Comput., 2022)

A Bayesian Interpretation of Fuzzy C-Means. - Corrado Mencar; Ciro Castiello (EUSFLAT/AGOP, 2023)

Semi-Supervised Fuzzy C-Means for Regression. - Gabriella Casalino; Giovanna Castellano; Corrado Mencar (IJCCI, 2023)

Density-based clustering with fully-convolutional networks for crowd flow detection from drones. - Giovanna Castellano; Eugenio Cotardo; Corrado Mencar; Gennaro Vessio (Neurocomputing, 2023)

Uncertainty Estimation of Raters' Performance and Ground Truth Through a Bayesian Extension of STAPLE. - Davide Cazzorla; Corrado Mencar (DEXA Workshops, 2024)

A Soft Clustering Method Derived from the Probabilistic Interpretation of Fuzzy C-Means. - Davide Cazzorla; Corrado Mencar (EUSFLAT (2), 2025)