Corrado Mencar 个人学术档案

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	总计	2019 年至今
引用	2485	1286
h 指数	28	19
i10 指数	58	39

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Anna Maria FanelliDepartment of Computer Science, University of Bari, Italy在 uniba.it 的电子邮件经过验证
Giovanna CastellanoAssociate Professor, University of Bari Aldo Moro在 uniba.it 的电子邮件经过验证
Ciro CastielloUniversità di Bari Aldo Moro在 uniba.it 的电子邮件经过验证
Jose Maria Alonso Moral (ORCID: 000...Research Center on Intelligent Technologies (CITIUS) of University of Santiago de Compostela (USC)在 usc.es 的电子邮件经过验证
Gabriella CasalinoInformatics Department, University of Bari, Bari, Italy在 uniba.it 的电子邮件经过验证
Gennaro VessioAssistant Professor (tenure-track), Department of Computer Science, University of Bari在 uniba.it 的电子邮件经过验证
Luis MagdalenaUniversidad Politécnica de Madrid在 upm.es 的电子邮件经过验证
Nicoletta Del BuonoAssociate Professor of Numerical Analysis, University of Bari, Italy在 uniba.it 的电子邮件经过验证
Marco Lucarelli, PhDPostdoc Researcher, University of Bari在 uniba.it 的电子邮件经过验证
Maria Alessandra TorselloContract research, Department of Informatics, University of Bari在 uniba.it 的电子邮件经过验证
Arianna ConsiglioCNR - Institute for Biomedical Technologies在 ba.itb.cnr.it 的电子邮件经过验证
Francesca A. LisiDipartimento di Informatica, Università degli Studi di Bari在 uniba.it 的电子邮件经过验证
Crescenzio GalloResearch Professor - Information Processing Systems, University of Foggia, Italy在 unifg.it 的电子邮件经过验证
Donato LacedoniaUniversity of Foggia在 unifg.it 的电子邮件经过验证
Maria Pia Foschino BarbaroUniversità di Foggia在 unifg.it 的电子邮件经过验证
Giorgio GrilloInstitute of biomedical technologies - ITB C.N.R Italy在 ba.itb.cnr.it 的电子邮件经过验证
Andrzej BargielaProfessor of Computer Science and CEO InfoHub Ltd在 nottingham.ac.uk 的电子邮件经过验证
Witold Pedrycz在 ualberta.ca 的电子邮件经过验证
Flavia EspositoUniversità degli Studi di Bari Aldo Moro在 uniba.it 的电子邮件经过验证
Jose Manuel Soto HidalgoProfessor at University of Granada在 ugr.es 的电子邮件经过验证

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Corrado Mencar

Università degli Studi di Bari Aldo Moro

在 uniba.it 的电子邮件经过验证 - 首页

Computational Intelligence Granular computing Explainable Artificial Intelligence Uncertainty


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Interpretability constraints for fuzzy information granulation C Mencar, AM Fanelli Information Sciences 178 (24), 4585-4618, 2008	215	2008
Interpretability of fuzzy systems: Current research trends and prospects JM Alonso, C Castiello, C Mencar Springer handbook of computational intelligence, 219-237, 2015	139	2015
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
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	103	2018
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
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
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	69	2020
Distinguishability quantification of fuzzy sets C Mencar, G Castellano, AM Fanelli Information Sciences 177 (1), 130-149, 2007	62	2007
Subtractive clustering for seeding non-negative matrix factorizations G Casalino, N Del Buono, C Mencar Information Sciences 257, 369-387, 2014	61	2014
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
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
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
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	48	2020
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	48	2018
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 A Moral, C Castiello, L Magdalena, C Mencar Springer International Publishing, 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	40	2011
A fuzzy clustering approach for mining diagnostic rules G Castellano, AM Fanelli, C Mencar SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems …, 2003	40	2003

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