Corrado Mencar

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Anna Maria FanelliDepartment of Computer Science, University of Bari, ItalyVerified email at uniba.it
Giovanna CastellanoAssociate Professor, University of Bari Aldo MoroVerified email at uniba.it
Ciro CastielloUniversità di Bari Aldo MoroVerified email at uniba.it
Jose Maria Alonso Moral (ORCID: 000...Research Center on Intelligent Technologies (CITIUS) of University of Santiago de Compostela (USC)Verified email at usc.es
Gabriella CasalinoInformatics Department, University of Bari, Bari, ItalyVerified email at uniba.it
Gennaro VessioAssistant Professor (tenure-track), Department of Computer Science, University of BariVerified email at uniba.it
Luis MagdalenaUniversidad Politécnica de MadridVerified email at upm.es
Nicoletta Del BuonoAssociate Professor of Numerical Analysis, University of Bari, ItalyVerified email at uniba.it
Marco Lucarelli, PhDPostdoc Researcher, University of BariVerified email at uniba.it
Maria Alessandra TorselloContract research, Department of Informatics, University of BariVerified email at uniba.it
Arianna ConsiglioCNR - Institute for Biomedical TechnologiesVerified email at ba.itb.cnr.it
Francesca A. LisiDipartimento di Informatica, Università degli Studi di BariVerified email at uniba.it
Crescenzio GalloResearch Professor - Information Processing Systems, University of Foggia, ItalyVerified email at unifg.it
Donato LacedoniaUniversity of FoggiaVerified email at unifg.it
Maria Pia Foschino BarbaroUniversità di FoggiaVerified email at unifg.it
Giorgio GrilloInstitute of biomedical technologies - ITB C.N.R ItalyVerified email at ba.itb.cnr.it
Andrzej BargielaProfessor of Computer Science and CEO InfoHub LtdVerified email at nottingham.ac.uk
Witold PedryczVerified email at ualberta.ca
Jose Manuel Soto HidalgoProfessor at University of GranadaVerified email at ugr.es
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es

Corrado Mencar

Università degli Studi di Bari Aldo Moro

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Computational Intelligence Granular computing Explainable Artificial Intelligence Uncertainty


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Interpretability constraints for fuzzy information granulation C Mencar, AM Fanelli Information Sciences 178 (24), 4585-4618, 2008	221	2008
Interpretability of fuzzy systems: Current research trends and prospects JM Alonso, C Castiello, C Mencar Springer handbook of computational intelligence, 219-237, 2015	148	2015
A bibliometric analysis of the explainable artificial intelligence research field JM Alonso, C Castiello, C Mencar International conference on information processing and management of …, 2018	113	2018
Interpretability assessment of fuzzy knowledge bases: A cointension based approach C Mencar, C Castiello, R Cannone, AM Fanelli International Journal of Approximate Reasoning 52 (4), 501-518, 2011	113	2011
Knowledge discovery by a neuro-fuzzy modeling framework G Castellano, C Castiello, AM Fanelli, C Mencar Fuzzy sets and Systems 149 (1), 187-207, 2005	82	2005
Application of machine learning to predict obstructive sleep apnea syndrome severity C Mencar, C Gallo, M Mantero, P Tarsia, GE Carpagnano, ... Health informatics journal 26 (1), 298-317, 2020	79	2020
Similarity-based fuzzy clustering for user profiling G Castellano, AM Fanelli, C Mencar, MA Torsello 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2007	77	2007
Subtractive clustering for seeding non-negative matrix factorizations G Casalino, N Del Buono, C Mencar Information Sciences 257, 369-387, 2014	64	2014
Distinguishability quantification of fuzzy sets C Mencar, G Castellano, AM Fanelli Information Sciences 177 (1), 130-149, 2007	63	2007
Explainable fuzzy systems A Moral, C Castiello, L Magdalena, C Mencar Springer International Publishing, 2021	61*	2021
A neuro-fuzzy network to generate human-understandable knowledge from data G Castellano, AM Fanelli, C Mencar Cognitive Systems Research 3 (2), 125-144, 2002	57	2002
Crowd detection in aerial images using spatial graphs and fully-convolutional neural networks G Castellano, C Castiello, C Mencar, G Vessio IEEE Access 8, 64534-64544, 2020	56	2020
An empirical risk functional to improve learning in a neuro-fuzzy classifier G Castellano, AM Fanelli, C Mencar IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004	56	2004
Paving the way to explainable artificial intelligence with fuzzy modeling: Tutorial C Mencar, JM Alonso International Workshop on Fuzzy Logic and Applications, 215-227, 2018	54	2018
Generation of interpretable fuzzy granules by a double-clustering technique G Castellano, AM Fanelli, C Mencar Archives of Control Science 12 (4), 397-410, 2002	49	2002
Design of transparent Mamdani fuzzy inference systems. G Castellano, AM Fanelli, C Mencar HIS, 468-477, 2003	48	2003
Data stream classification by dynamic incremental semi-supervised fuzzy clustering G Casalino, G Castellano, C Mencar International Journal on Artificial Intelligence Tools 28 (08), 1960009, 2019	47	2019
Explainable Fuzzy Systems-Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems JM Alonso, C Castiello, L Magdalena, C Mencar Studies in Computational Intelligence. Springer, 2021	46	2021
Crowd detection for drone safe landing through fully-convolutional neural networks G Castellano, C Castiello, C Mencar, G Vessio SOFSEM 2020: Theory and Practice of Computer Science: 46th International …, 2020	42	2020
Design of fuzzy rule-based classifiers with semantic cointension C Mencar, C Castiello, R Cannone, AM Fanelli Information Sciences 181 (20), 4361-4377, 2011	41	2011

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