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, DaSCI Research Institute, 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
Oliver Urs LenzPostdoc, Ghent UniversityVerified email at ugent.be
Enislay RamentolFraunhofer ITWMVerified email at itwm.fraunhofer.de
Mauricio RestrepoUniversidad Militar Nueva GranadaVerified email at unimilitar.edu.co
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
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. 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

Chris Cornelis

Associate professor, 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	741	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	545	2004
Attribute selection with fuzzy decision reducts C Cornelis, R Jensen, G Hurtado, D Slezak Information Sciences 180 (2), 209-224, 2010	279	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	250	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	242	2009
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	212	2014
Advances and challenges in interval-valued fuzzy logic C Cornelis, G Deschrijver, EE Kerre Fuzzy sets and systems 157 (5), 622-627, 2006	205	2006
Trust and recommendations P Victor, M De Cock, C Cornelis Recommender systems handbook, 645-675, 2011	179	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	169	2011
Fuzzy neighborhood operators based on fuzzy coverings L D'eer, C Cornelis, L Godo Fuzzy Sets and Systems 312, 17-35, 2017	165	2017
Fuzzy-rough nearest neighbour classification and prediction R Jensen, C Cornelis Theoretical Computer Science 412 (42), 5871-5884, 2011	158	2011
Vaguely quantified rough sets C Cornelis, M De Cock, AM Radzikowska Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th …, 2007	153	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	150	2011
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	149	2016
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	147	2012
Fuzzy rough sets: The forgotten step M De Cock, C Cornelis, EE Kerre IEEE Transactions on Fuzzy Systems 15 (1), 121-130, 2007	139	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
Filters of residuated lattices and triangle algebras B Van Gasse, G Deschrijver, C Cornelis, EE Kerre Information Sciences 180 (16), 3006-3020, 2010	126	2010
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	119	2003
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	115	2014

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