Chris Cornelis

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etienne kerreemeritus gewoon hoogleraar Universiteit GentVerified email at ugent.be
Martine De CockProfessor, University of Washington TacomaVerified email at uw.edu
Francisco HerreraProfessor Computer Science and AI, Granada University, SpainVerified email at decsai.ugr.es
Sarah VluymansUniversiteit GentVerified email at ugent.be
Richard JensenDepartment of Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
Rafael BelloProfessor of Computer Science, Universidad Central "Marta Abreu" de Las VillasVerified email at uclv.edu.cu
Lynn D'eerIDLab Antwerp - imec, University of AntwerpVerified email at imec.be
Steven SchockaertCardiff UniversityVerified email at cs.cardiff.ac.uk
Danel Sanchez TarragoUniversity of GranadaVerified email at decsai.ugr.es
Ankur TeredesaiUniversity of WashingtonVerified email at uw.edu
Enislay RamentolFraunhofer ITWMVerified email at itwm.fraunhofer.de
Amelia ZafraAssociate Professor of Computer Science, University of CordobaVerified email at uco.es
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)Verified email at uco.es
Mauricio RestrepoUniversidad Militar Nueva GranadaVerified email at unimilitar.edu.co
Oliver Urs LenzPostdoc, Ghent UniversityVerified email at ugent.be
Lluis GodoIIIA - CSICVerified email at iiia.csic.es
Enrique Herrera-ViedmaProfessor of Computer Science and Artificial Intelligence, Spain, University of GranadaVerified email at decsai.ugr.es
Veronique HosteProfessor of computational linguistics, Ghent UniversityVerified email at ugent.be
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es

Chris Cornelis

Researcher of Computer Science, Ghent University

Verified email at ugent.be - Homepage

Artificial intelligence machine learning fuzzy sets rough sets recommender systems


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On the representation of intuitionistic fuzzy t-norms and t-conorms G Deschrijver, C Cornelis, EE Kerre IEEE transactions on fuzzy systems 12 (1), 45-61, 2004	722	2004
Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application C Cornelis, G Deschrijver, EE Kerre International journal of approximate reasoning 35 (1), 55-95, 2004	534	2004
Attribute selection with fuzzy decision reducts C Cornelis, R Jensen, G Hurtado, D Slezak Information Sciences 180 (2), 209-224, 2010	260	2010
Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge C Cornelis, M De Cock, EE Kerre Expert systems 20 (5), 260-270, 2003	234	2003
Gradual trust and distrust in recommender systems P Victor, C Cornelis, M De Cock, PP Da Silva Fuzzy Sets and Systems 160 (10), 1367-1382, 2009	233	2009
Advances and challenges in interval-valued fuzzy logic C Cornelis, G Deschrijver, EE Kerre Fuzzy sets and systems 157 (5), 622-627, 2006	201	2006
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets” LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez Information sciences 287, 68-89, 2014	192	2014
Trust and recommendations P Victor, M De Cock, C Cornelis Recommender systems handbook, 645-675, 2011	170	2011
Trust-and distrust-based recommendations for controversial reviews P Victor, C Cornelis, M De Cock, AM Teredesai IEEE Intelligent Systems 26 (1), 48-55, 2011	160	2011
Fuzzy-rough nearest neighbour classification and prediction R Jensen, C Cornelis Theoretical Computer Science 412 (42), 5871-5884, 2011	146	2011
Vaguely quantified rough sets C Cornelis, M De Cock, AM Radzikowska Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th …, 2007	145	2007
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection J Derrac, C Cornelis, S García, F Herrera Information Sciences 186 (1), 73-92, 2012	141	2012
Fuzzy rough sets: The forgotten step M De Cock, C Cornelis, EE Kerre IEEE Transactions on Fuzzy Systems 15 (1), 121-130, 2007	133	2007
One-and-only item recommendation with fuzzy logic techniques C Cornelis, J Lu, X Guo, G Zhang Information sciences 177 (22), 4906-4921, 2007	132	2007
Practical aggregation operators for gradual trust and distrust P Victor, C Cornelis, M De Cock, E Herrera-Viedma Fuzzy Sets and Systems 184 (1), 126-147, 2011	127	2011
Fuzzy neighborhood operators based on fuzzy coverings L D'eer, C Cornelis, L Godo Fuzzy Sets and Systems 312, 17-35, 2017	126	2017
Multiple instance learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ... Multiple instance learning: foundations and algorithms, 17-33, 2016	124	2016
Sinha–Dougherty approach to the fuzzification of set inclusion revisited C Cornelis, C Van der Donck, E Kerre Fuzzy Sets and Systems 134 (2), 283-295, 2003	120	2003
Filters of residuated lattices and triangle algebras B Van Gasse, G Deschrijver, C Cornelis, EE Kerre Information Sciences 180 (16), 3006-3020, 2010	118	2010
IFROWANN: imbalanced fuzzy-rough ordered weighted average nearest neighbor classification E Ramentol, S Vluymans, N Verbiest, Y Caballero, R Bello, C Cornelis, ... IEEE Transactions on Fuzzy Systems 23 (5), 1622-1637, 2014	102	2014

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