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 Univ.; Senior Associate Researcher in DL&ML at Sherpa.aiVerified 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'eerPhD. Student, Ghent UniversityVerified email at UGent.be
Steven SchockaertCardiff UniversityVerified email at cs.cardiff.ac.uk
Ankur TeredesaiUniversity of WashingtonVerified email at uw.edu
Danel Sanchez TarragoUniversity of GranadaVerified email at decsai.ugr.es
Enislay RamentolFraunhofer ITWMVerified email at itwm.fraunhofer.de
Mauricio RestrepoUniversidad Militar Nueva GranadaVerified email at unimilitar.edu.co
Ofer ArieliDept. of Computer Science, The Academic College of Tel-AvivVerified email at mta.ac.il
Amelia ZafraAssociate Professor of Computer Science, University of CordobaVerified email at uco.es
Sebastián VenturaProfessor of Computer Science and Artificial Intelligence, University of CordobaVerified email at uco.es
Enrique Herrera-ViedmaProfessor of Computer Science and Artificial Intelligence, Spain, University of GranadaVerified email at decsai.ugr.es
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
Lluis GodoIIIA - CSICVerified email at iiia.csic.es
Jonatan GómezEngineering School, Universidad Nacional de ColombiaVerified email at unal.edu.co

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	618	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	486	2004
Attribute selection with fuzzy decision reducts C Cornelis, R Jensen, G Hurtado, D Slezak Information Sciences 180 (2), 209-224, 2010	214	2010
Advances and challenges in interval-valued fuzzy logic C Cornelis, G Deschrijver, EE Kerre Fuzzy sets and systems 157 (5), 622-627, 2006	189	2006
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	184	2009
Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge C Cornelis, M De Cock, EE Kerre Expert systems 20 (5), 260-270, 2003	184	2003
Trust-and distrust-based recommendations for controversial reviews P Victor, C Cornelis, M De Cock, A Teredesai Web Science Conference (WebSci'09: Society On-Line), 2009	152	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	142	2014
Trust and recommendations P Victor, M De Cock, C Cornelis Recommender systems handbook, 645-675, 2011	142	2011
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	122	2012
Fuzzy rough sets: The forgotten step M De Cock, C Cornelis, EE Kerre IEEE Transactions on Fuzzy Systems 15 (1), 121-130, 2007	118	2007
Vaguely quantified rough sets C Cornelis, M De Cock, AM Radzikowska International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular …, 2007	117	2007
Fuzzy-rough nearest neighbour classification and prediction R Jensen, C Cornelis Theoretical Computer Science 412 (42), 5871-5884, 2011	111	2011
One-and-only item recommendation with fuzzy logic techniques C Cornelis, J Lu, X Guo, G Zhang Information Sciences 177 (22), 4906-4921, 2007	110	2007
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	105	2003
Filters of residuated lattices and triangle algebras B Van Gasse, G Deschrijver, C Cornelis, EE Kerre Information Sciences 180 (16), 3006-3020, 2010	97	2010
Intuitionistic fuzzy sets and intervalvalued fuzzy sets: a critical comparison C Cornelis, K Atanassov, EE Kerre Proc. EUSFLAT’03, 2003	90	2003
Elicitation of fuzzy association rules from positive and negative examples M De Cock, C Cornelis, EE Kerre Fuzzy Sets and Systems 149 (1), 73-85, 2005	89	2005
Intuitionistic fuzzy connectives revisited G Deschrijver, C Cornelis, E Kerre 9th International Conference on Information Processing and Management of …, 2002	87	2002
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	85	2011

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