Chris Cornelis

Contact

Ghent University
Dept. of Applied Mathematics, Computer Science and Statistics
Krijgslaan 281 (Building S9, Room 40.09.120.028)
9000 Gent
Belgium

Phone: +32 9 264 47 72
Email: chris.cornelis@ugent.be

Short biography

Chris Cornelis holds an M.Sc. (2000) and a Ph.D. (2004) degree in Computer Science from Ghent University (Belgium). He has worked as a postdoctoral researcher both at Ghent University and at the University of Granada. Currently, he is a full-time professor at the Department of Applied Mathematics, Computer Science and Statistics of Ghent University.

Teaching

Capita Selecta in Soft Computing
Master of Science in Mathematics and Computer Science, Ghent University
Mathematical Modelling of Fuzziness
Master of Science in Mathematics, Ghent University
Mathematics I(A)
Bachelor of Science in Economics, Business Economics and Economics Engineering, Ghent University
Mathematics I(B)
Bachelor of Science in Economics, Business Economics and Economics Engineering, Ghent University

Publications

Papers in international journals listed in SCI - Science Citation Index

FRRI: A Novel Algorithm for Fuzzy-Rough Rule Induction
H. Bollaert, M. Palangetic, C. Cornelis, S. Greco, R. Slowinski
Information Sciences 686, 121362, 2025
An Exploration of Ideals and Filters in Triangle Algebras [PDF]
E. Noumen, F. Tchoua Yinga, B. Blériot Koguep Njionou, C. Cornelis
Axioms 13(8), 566, 2024
On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets
A. Theerens, C. Cornelis
Information Sciences 665, 120385, 2024
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values
O.U. Lenz, D. Peralta, C. Cornelis
IEEE Transactions on Fuzzy Systems 32(5), p. 3084-3093, 2025
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules [PDF]
M. Palangetic, C. Cornelis, S. Greco, R. Slowinski
Fuzzy Sets and Systems 478, 2024
Fuzzy Rough Nearest Neighbour Methods for Aspect-Based Sentiment Analysis [PDF]
O. Kaminska, C. Cornelis, V. Hoste
Electronics 12(5), 1088, 2023
Fuzzy rough sets based on fuzzy quantification [PDF]
A. Theerens, C. Cornelis
Fuzzy Sets and Systems 473, 2023
Granular approximations: A novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation [PDF]
M. Palangetic, C. Cornelis, S. Greco, R. Slowinski
Information Sciences 629, p. 249-275, 2023
Kitainik Axioms do not Characterize the Class of Inclusion Measures Based on Contrapositive Fuzzy Implications [PDF]
N. Madrid, C. Cornelis
Fuzzy Sets and Systems 456, p. 208-214, 2023
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony [PDF]
O. Kaminska, C. Cornelis, V. Hoste
Information Sciences 625, p. 521-535, 2023
Granular Representation of OWA-based Fuzzy Rough Sets [PDF]
M. Palangetic, C. Cornelis, S. Greco, R. Slowinski
Fuzzy Sets and Systems 440, p. 112-130, 2022
Choquet-Based Fuzzy Rough Sets [PDF]
A. Theerens, O.U. Lenz, C. Cornelis
International Journal of Approximate Reasoning 146, p. 62-78, 2022
Optimised one-class classification performance [PDF]
O.U. Lenz, D. Peralta, C. Cornelis
Machine Learning, 2022
Average Localised Proximity: a new data descriptor with good default one-class classification performance [PDF]
O.U. Lenz, D. Peralta, C. Cornelis
Pattern Recognition 118, 2021
Fuzzy extensions of the dominance-based rough set approach [PDF]
M. Palangetic, C. Cornelis, S. Greco, R. Slowinski
International Journal of Approximate Reasoning 129, p. 1-19, 2021
Scalable approximate FRNN-OWA classification [PDF]
O.U. Lenz, D. Peralta, C. Cornelis
IEEE Transactions on Fuzzy Systems 28(5), p. 929-938, 2020
Decision reducts and bireducts in a covering approximation space and their relationship to set definability [PDF]
L. D'eer, C. Cornelis
International Journal of Approximate Reasoning 109, p. 42-54, 2019
Weight Selection Strategies for Ordered Weighted Average Based Fuzzy Rough Sets [PDF]
S. Vluymans, N. Mac Parthalain , C. Cornelis, Y. Saeys
Information Sciences 501, p. 155-171, 2019
Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Approach [PDF]
S. Vluymans, A. Fernández, Y. Saeys, C. Cornelis, F. Herrera
Knowledge and Information Systems 56(1), p. 55-84, 2018
A Comprehensive Study of Fuzzy Covering-Based Rough Set Models: Definitions, Properties and Interrelationships [PDF]
L. D’eer, C. Cornelis
Fuzzy Sets and Systems 336, p. 1-26, 2018
Multi-Label Classification using a Fuzzy Rough Neighborhood Consensus [PDF]
S. Vluymans, C. Cornelis , F. Herrera, Y. Saeys
Information Sciences 433-434, p. 96–114, 2018
Notes on Covering-Based Rough Sets from Topological Point of View: Relationships with General Framework of Dual Approximation Operators [PDF]
L. D’eer, C. Cornelis
International Journal of Approximate Reasoning 88, p. 295-305, 2017
Fuzzy Neighborhood Operators based on Fuzzy Coverings [PDF]
L. D’eer, C. Cornelis, L. Godo
Fuzzy Sets and Systems 312, p. 17-35, 2017
Fuzzy Multi-Instance Classifiers [PDF]
S. Vluymans, D. Sánchez Tarragó, Y. Saeys, C. Cornelis, F. Herrera
IEEE Transactions on Fuzzy Systems 24(6), p. 1395-1409, 2016
EPRENNID: An Evolutionary Prototype Reduction Based Ensemble for Nearest Neighbor Classification of Imbalanced Data [PDF]
S. Vluymans, I. Triguero, C. Cornelis, Y. Saeys
Neurocomputing 216, p. 596-610, 2016
Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets [PDF]
N. Verbiest, S. Vluymans, C. Cornelis, N. García-Pedrajas, Y. Saeys
Applied Soft Computing 44, p. 75-88, 2016
A Semantically Sound Approach to Pawlak Rough Sets and Covering-Based Rough Sets [PDF]
L. D’eer, C. Cornelis, Y. Yao
International Journal of Approximate Reasoning 78, p. 62-72, 2016
Fuzzy Rough Classifiers for Class Imbalanced Multi-Instance Data [PDF]
S. Vluymans, D. Sánchez Tarragó, Y. Saeys, C. Cornelis, F. Herrera
Pattern Recognition 53, p. 36-45, 2016
Neighborhood Operators for Covering Based Rough Sets [PDF]
L. D’eer, M. Restrepo, C. Cornelis, J. Gómez
Information Sciences 336, p. 21-44, 2016
Fuzzy-Rough Imbalanced Learning for the Diagnosis of High Voltage Circuit Breaker Maintenance: the SMOTE-FRST-2T Algorithm [PDF]
E. Ramentol, I. Gondres, S. Lajes, Y. Caballero, R. Bello, C. Cornelis, F. Herrera
Engineering Applications of Artificial Intelligence 48, p. 134-139, 2016
Wrapper Approaches for Training Set Selection as Preprocessing Mechanism for Support Vector Machines: an Experimental Evaluation [PDF]
N. Verbiest, J. Derrac, C. Cornelis, S. García, F. Herrera
Applied Soft Computing 38, p. 10-22, 2016
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey [PDF]
S. Vluymans, L. D’eer, Y. Saeys, C. Cornelis
Fundamenta Informaticae 142(1-4), p. 53-86, 2015
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification [PDF]
E. Ramentol, S. Vluymans, N. Verbiest, Y. Caballero, R. Bello, C. Cornelis, F. Herrera
IEEE Transactions on Fuzzy Systems 23(5), p. 1622-1637, 2015
A Comprehensive Study of Implicator-Conjunctor Based and Noise-Tolerant Fuzzy Rough Sets: Definitions, Properties and Robustness Analysis [PDF]
L. D’eer, N. Verbiest, C. Cornelis, L. Godo
Fuzzy Sets and Systems 275, p. 1-38, 2015
Implementing Rough Set Theory and Fuzzy Rough Set Theory in the R Package RoughSets [PDF]
L. Riza, A. Janusz, C. Bergmeir, C. Cornelis, F. Herrera, D. Slezak, J.M. Benítez
Information Sciences 287, p. 68-89, 2014
Partial Order Relation for Approximation Operators in Covering Based Rough Sets [PDF]
M. Restrepo, C. Cornelis, J. Gómez
Information Sciences 284, p. 44-59, 2014
Preprocessing Noisy Imbalanced Datasets using SMOTE enhanced with Fuzzy Rough Prototype Selection [PDF]
N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera
Applied Soft Computing 22, p. 511-517, 2014
Multi-Instance Learning Wrapper based on the Rocchio Classifier for Web Index Recommendation [PDF]
D. Sánchez Tarragó, C. Cornelis, R.E. Bello, F. Herrera
Knowledge-Based Systems 59, p. 173-181, 2014
Multi-Adjoint Fuzzy Rough Sets: Definition, Properties and Attribute Selection [PDF]
C. Cornelis, J. Medina, N. Verbiest
International Journal of Approximate Reasoning 55(1), p. 412-426, 2014
Duality, Conjugacy and Adjointness of Approximation Operators in Covering Based Rough Sets [PDF]
M. Restrepo, C. Cornelis, J. Gómez
International Journal of Approximate Reasoning 55(1), p. 469-485, 2014
Enhancing the Trust-Based Recommendation Process with Explicit Distrust [PDF]
P. Victor, N. Verbiest, C. Cornelis, M. De Cock
ACM Transactions on the Web 7(2), article 6, 2013
FRPS: a Fuzzy Rough Prototype Selection Method [PDF]
N. Verbiest, C. Cornelis, F. Herrera
Pattern Recognition 46(10), p. 2770-2782, 2013
On the Use of Evolutionary Feature Selection for Improving Fuzzy Rough Set Based Prototype Selection [PDF]
J. Derrac, N. Verbiest, S. García, C. Cornelis, F. Herrera
Soft Computing 17(2), p. 223-238, 2013
Using Semi-Structured Data for Assessing Research Paper Similarity [PDF]
G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
Information Sciences 221(1), p. 245-261, 2013
Trust and Distrust Aggregation Enhanced with Path Length Incorporation [PDF]
N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma
Fuzzy Sets and Systems 202, p. 61-74, 2012
The Standard Completeness of Interval-Valued Monoidal t-Norm Based Logic [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
Information Sciences 189(1), p. 63-76, 2012
Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection [PDF]
J. Derrac, C. Cornelis, S. García, F. Herrera
Information Sciences 186(1), p. 73-92, 2012
Fuzzy Rough Nearest Neighbour Classification and Prediction [PDF]
R. Jensen, C. Cornelis
Theoretical Computer Science 412(42), p. 5871-5884, 2011
Practical Aggregation Operators for Gradual Trust and Distrust [PDF]
P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
Fuzzy Sets and Systems 184(1), p. 126-147, 2011
Modelling Gene and Protein Regulatory Networks with Answer Set Programming [PDF]
T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock
International Journal of Data Mining and Bioinformatics 5(2), p. 209-229, 2011
Trust- and Distrust-Based Recommendations for Controversial Reviews [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
IEEE Intelligent Systems 26(1), p. 48-55, 2011
Filters of Residuated Lattices and Triangle Algebras [PDF]
B. Van Gasse, G. Deschrijver, C. Cornelis, E. E. Kerre
Information Sciences 180(16), p. 3006-3020, 2010
Attribute Selection with Fuzzy Decision Reducts [PDF]
C. Cornelis, R. Jensen, G. Hurtado Martín, D. Slezak
Information Sciences 180(2), p. 209-224, 2010
Linguistic Feature Analysis for Protein Interaction Extraction [PDF]
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
BMC Bioinformatics 10:374, 2009
Gradual Trust and Distrust in Recommender Systems [PDF]
P. Victor, C. Cornelis, M. De Cock, P. Pinheiro Da Silva
Fuzzy Sets and Systems 160(10), p. 1367-1382, 2009
The Pseudo-Linear Semantics of Interval-Valued Fuzzy Logics [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
Information Sciences 179(6), p. 717-728, 2009
Key Figure Impact in Trust-Enhanced Recommender Systems [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
AI Communications 21(2-3), p. 127-143, 2008
A Characterization of Interval-Valued Residuated Lattices [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
International Journal of Approximate Reasoning 49(2), p. 478-487, 2008
Fuzzy Region Connection Calculus: An Interpretation Based on Closeness [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
International Journal of Approximate Reasoning 48(1), p. 332-347, 2008
Fuzzy Region Connection Calculus: Representing Vague Topological Information [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
International Journal of Approximate Reasoning 48(1), p. 314-331, 2008
Triangle Algebras: A Formal Logic Approach to Interval-Valued Residuated Lattices [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
Fuzzy Sets and Systems 159(9), p. 1042-1060, 2008
One-and-Only Item Recommendation with Fuzzy Logic Techniques [PDF]
C. Cornelis, J. Lu, X. Guo, G. Zhang
Information Sciences 177(22), p. 4906-4921, 2007
Representability in Interval-Valued Fuzzy Set Theory [PDF]
G. Deschrijver, C. Cornelis
International Journal of Fuzziness, Uncertainty and Knowledge-Based Systems 15(3), p. 345-361, 2007
Clustering Web Search Results Using Fuzzy Ants [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
International Journal of Intelligent Systems 22(5), p. 455-474, 2007
Uncertainty Modeling by Bilattice-Based Squares and Triangles [PDF]
C. Cornelis, O. Arieli, G. Deschrijver, E. E. Kerre
IEEE Transactions on Fuzzy Systems 15(2), p. 161-175, 2007
A Bilattice-Based Framework for Handling Graded Truth and Imprecision [PDF]
G. Deschrijver, O. Arieli, C. Cornelis, E. E. Kerre
International Journal of Fuzziness, Uncertainty and Knowledge-Based Systems 15(1), p. 13-41, 2007
Fuzzy Rough Sets: the Forgotten Step [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
IEEE Transactions on Fuzzy Systems 15(1), p. 121-130, 2007
Advances and challenges in interval-valued fuzzy logic [PDF]
C. Cornelis, G. Deschrijver, E. E. Kerre
Fuzzy Sets and Systems 157(5), p.622-627, 2006
Relatedness of Fuzzy Sets [PDF]
S. Schockaert, M. De Cock, C. Cornelis
Journal of Intelligent and Fuzzy Systems 16(4), p. 297-303, 2005
Elicitation of Fuzzy Association Rules from Positive and Negative Examples [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
Fuzzy Sets and Systems 149(1), p. 73-85, 2005
Shortest Paths in Fuzzy Weighted Graphs [PDF]
C. Cornelis, P. De Kesel, E. E. Kerre
International Journal of Intelligent Systems 19(11), p. 1051-1068, 2004
Implication in Intuitionistic Fuzzy and Interval-Valued Fuzzy Set Theory: Construction, Classification, Application [PDF]
C. Cornelis, G. Deschrijver, E. E. Kerre
International Journal of Approximate Reasoning 35(1), p. 55-95, 2004
On the Representation of Intuitionistic Fuzzy t-Norms and t-Conorms [PDF]
G. Deschrijver, C. Cornelis, E. E. Kerre
IEEE Transactions on Fuzzy Systems 12(1),p. 45-61, 2004
Intuitionistic Fuzzy Rough Sets: at the Crossroads of Imperfect Knowledge [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
Expert Systems: The International Journal of Knowledge Engineering and Neural Networks 20(5), p. 260-269, 2003
Sinha-Dougherty Approach to the Fuzzification of Set Inclusion Revisited [PDF]
C. Cornelis, C. Van Der Donck, E. E. Kerre
Fuzzy Sets and Systems 134(2), p. 283-295, 2003
On the meaning of noise annoyance modifiers: a fuzzy set theoretical approach [PDF]
D. Botteldooren, A. Verkeyn, C. Cornelis, M. De Cock
Acta Acustica united with Acustica, 88 (2), p. 239-251, 2002

Papers in other international journals

Fuzzy-Rough Nearest Neighbour Classification [PDF]
R. Jensen, C. Cornelis
Transactions on Rough Sets XIII, LNCS 6499, p. 56-72, 2010
On the Properties of a Generalized Class of t-norms in Interval-Valued Fuzzy Logics [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
New Mathematics and Natural Computation 2(1), p. 29-42, 2006
(Reviewed by V. Kreinovich, Interval Methods in Knowledge Representation, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14(3), p. 368, 2006)
Square and Triangle: Reflections on Two Prominent Mathematical Structures for the Representation of Imprecision [PDF]
C. Cornelis, G. Deschrijver, E. E. Kerre
Notes on Intuitionistic Fuzzy Sets 9(3), p. 11-21, 2003
On the Representation of Intuitionistic Fuzzy t-norms and t-conorms [PDF]
G. Deschrijver, C. Cornelis, E. E. Kerre
Notes on Intuitionistic Fuzzy Sets 8(3), p. 1-10, 2002
Survey of the Research on Intuitionistic Fuzzy Sets
M. Nikolova, N. Nikolov, C. Cornelis, G. Deschrijver
Advanced Studies in Contemporary Mathematics 4(2), p. 127-157, 2002

Books

Multiple Instance Learning - Foundations and Algorithms [Publisher's link]
F. Herrera, S. Ventura, R. Bello, C. Cornelis, A. Zafra, D. Sánchez-Tarragó, S. Vluymans
Springer, 2016
Rough Sets and Current Trends in Computing [Publisher's link]
C. Cornelis, M. Kryszkiewicz, D. Ślȩzak, E. Menasalvas Ruiz, R. Bello, L. Shang (eds.)
Lecture Notes in Artificial Intelligence 8536, Springer, 2014
Rough Sets and Intelligent Systems Paradigms [Publisher's link]
M. Kryszkiewicz, C. Cornelis, D. Ciucci, J. Medina-Moreno, H. Motoda, Z. Raś (eds.)
Lecture Notes in Artificial Intelligence 8537, Springer, 2014
Rough Sets and Knowledge Technology [Publisher's link]
P. Lingras, M. Wolski, C. Cornelis, S. Mitra, P. Wasilewski (eds.)
Lecture Notes in Artificial Intelligence 8171, Springer, 2013
Trust Networks for Recommender Systems [Publisher's link]
P. Victor, C. Cornelis, M. De Cock
Atlantis Computational Intelligence Systems 4, Atlantis Press, 2011
35 Years of Fuzzy Set Theory: Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre [Publisher's link]
C. Cornelis, G. Deschrijver, M. Nachtegael, S. Schockaert, Y. Shi (eds.)
Studies in Fuzziness and Soft Computing 261, Springer-Verlag, 2011

Chapters in books

Fuzzy-Rough Hybridization [PDF]
M. Inuiguchi, W.Z. Wu, C. Cornelis, N. Verbiest
in: Springer Handbook of Computational Intelligence (J. Kacprzyk, W. Pedrycz, eds.), Springer, p. 425-451, 2015
Interval-Valued Algebras and Fuzzy Logics [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver
in: 35 Years of Fuzzy Set Theory: Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre (C. Cornelis, G. Deschrijver, M. Nachtegael, S. Schockaert, Y. Shi, eds.), Springer, p. 57-82, 2011
Trust and Recommendations [PDF]
P. Victor, C. Cornelis, M. De Cock
in: Recommender Systems Handbook (P.B. Kantor, F. Ricci, L. Rokach, B. Shapira, eds.), Springer, p. 646-675, 2011
Exploiting Properties of Legislative Texts to Improve Classification Accuracy [PDF]
R. Opsomer, G. De Meyer, C. Cornelis, G. Van Eetvelde
in: Frontiers of Artificial Intelligence and Applications 205 (G. Governatori, ed.), IOS Press, p. 136-145, 2009
Fuzzy Rough Sets: from Theory into Practice [PDF]
C. Cornelis, M. De Cock, A.M. Radzikowska
in: Handbook of Granular Computing (W. Pedrycz, A. Skowron, V. Kreinovich, eds.), Wiley, p. 533-552, 2008
Intuitionistic Fuzzy Relational Images [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Computational Intelligence for Modelling and Predictions (S. K. Halgamuge, L. Wang, eds.), Studies in Computational Intelligence 2, Springer-Verlag, p. 129-146, 2005
Association Rule Based Specialization in ER Models [PDF]
M. De Cock, C. Cornelis, M. Ren, G. Chen, E. E. Kerre
in: Intelligent Data Mining: Techniques and Applications (D. Ruan, G. Chen, E. Kerre, G. Wets, eds.), Studies in Computational Intelligence 5, Springer, p. 203-217, 2005
Representing Reliability and Hesitation in Possibility Theory: A General Framework [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
in: Applications and Science in Soft Computing (A. Lotfi, J. M. Garibaldi, eds.), Advances in Soft Computing , Springer-Verlag, p. 127-132, 2004
Efficient Clustering with Fuzzy Ants [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
in: Applied Computational Intelligence (D. Ruan, P. D'hondt, M. De Cock, M. Nachtegael, E. E. Kerre, eds.), World Scientific, p. 195-200, 2004 (listed in ISTP - Index to Scientific and Technical Proceedings)
Relating Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets Through Bilattices [PDF]
O. Arieli, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Applied Computational Intelligence (D. Ruan, P. D'hondt, M. De Cock, M. Nachtegael, E. E. Kerre, eds.), World Scientific, p. 57-64, 2004 (listed in ISTP - Index to Scientific and Technical Proceedings)
Application of Extended Modal Operators as a Tool for Constructing Inclusion Indicators over Intuitionistic Fuzzy Sets [PDF]
C. Cornelis, K. T. Atanassov, E. E. Kerre
in: Soft Computing-Foundations and Theoretical Aspects (K. T. Atanassov, O. Hryniewicz, J. Kacprzyk, eds.), EXIT publishing house, p. 133-142, 2004
A Fuzzy Inference Methodology Based on the Fuzzification of Set Inclusion [PDF]
C. Cornelis, E. E. Kerre
in: Recent Advances in Intelligent Paradigms and Applications (A. Abraham, L. Jain, J. Kacprzyk, eds.), Physica-Verlag, p. 71-89, 2002
Fuzzy Set Theory: a Useful Interlingua? [PDF]
C. Cornelis, M. De Cock, D. Botteldooren, E. E. Kerre
in: Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (N. Baba, L.C. Jain, R.J. Howlett, eds.), Frontiers in Artificial Intelligence and Applications 69, IOS Press, p. 1137-1141, 2001
The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
in: Fuzzy If-Then Rules in Computational Intelligence : Theory and Applications (D. Ruan, E. E. Kerre, eds.), Kluwer Academic Publishers, p. 37-59, 2000

Papers in proceedings

Fuzzy Rough Sets for Self-Labelling: an Exploratory Analysis [PDF]
S. Vluymans, N. Mac Parthaláin, C. Cornelis, Y. Saeys
in: Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), p. 931-938, 2016
A Semantical Approach to Rough Sets and Dominance-based Rough Sets [PDF]
L. D’eer, C. Cornelis, Y. Yao
in: Proceedings of 16th International Conference on Information Processing and Management of Uncertainty (IPMU2016), Part II, CCIS 611, p. 23–35, 2016
Semi-Supervised Fuzzy-Rough Feature Selection [PDF]
R. Jensen, S. Vluymans, N. Mac Parthaláin, C. Cornelis, Y. Saeys
in: Proceedings of 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC2015), LNAI 9437, p. 185-195, 2015
New Neighborhood Based Rough Sets [PDF]
L. D’eer, C. Cornelis
in: Proceedings of 10th International Conference on Rough Sets and Knowledge Technology (RSKT2015), LNAI 9436, p. 191-201, 2015
Distributed Fuzzy Rough Prototype Selection for Big Data Regression [PDF]
S. Vluymans, H. Asfoor, Y. Saeys, C. Cornelis, M. Tolentino, A. Teredesai, M. De Cock
in: Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS2015), p. 153-158, 2015
Fuzzy rough Set Prototype Selection for Regression [PDF]
S. Vluymans, Y. Saeys, C. Cornelis, A. Teredesai, M. De Cock
in: Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), 2015
Fuzzy Covering based Rough Sets Revisited [PDF]
L. D’eer, C. Cornelis, D. Sánchez
in: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT 2015), p. 651-658, 2015.
Evolutionary Undersampling for Imbalanced Big Data Classification [PDF]
I. Triguero, M. Galar, S. Vluymans, C. Cornelis, H. Bustince, F. Herrera and Y. Saeys
in: Proceedings of IEEE Congress on Evolutionary Computation (CEC 2015), 2015.
Computing Fuzzy Rough Approximations in Large Scale Information Systems [PDF]
H. Asfoor, R. Srinivasan, G. Vasudevan, N. Verbiest, C. Cornelis, M. Tolentino, A. Teredesai, M. De Cock
in: Proceedings of 2nd Workshop on Scalable Machine Learning: Theory and Applications (workshop at IEEE BigData 2014), p. 9-16, 2014.
Feature Grouping-based Fuzzy-Rough Feature Selection [PDF]
R. Jensen, N. MacParthalain, C. Cornelis
In: Proceedings of 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2014), p. 1488-1495, 2014.
Modelos de Conjuntos Difusos Rugosos Tolerantes al Ruido: Definiciones y Propiedades [PDF]
L. D'eer, N. Verbiest, C. Cornelis, L. Godo
in: Proceedings of XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2014), p. 27-32, 2014.
Characterization of Neighborhood Operators for Covering Based Rough Sets, using Duality and Adjointness [PDF]
M. Restrepo, C. Cornelis, J. Gómez
in: Proceedings of the 4th international workshop on Knowledge Discovery, Knowledge Management and Decision Support (EUREKA 2013), p. 98-104, 2013.
An Exploratory Study on Content-Based Filtering of Call for Papers [PDF]
G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
in: Proceedings of the 6th Information Retrieval Facility Conference (IRFC 2013), LNCS 8201, p. 58-69, 2013.
OWA-FRPS: A Prototype Selection method based on Ordered Weighted Average Fuzzy Rough Set Theory [PDF]
N. Verbiest, C. Cornelis, F. Herrera
in: Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 180-190, 2013.
Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties [PDF]
L. D'eer, N. Verbiest, C. Cornelis, L. Godo
in: Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 169-179, 2013.
Quality, Frequency and Similarity Based Fuzzy Nearest Neighbor Classification [PDF]
N. Verbiest, C. Cornelis, R. Jensen
in: Proceedings of the 21st International Conference on Fuzzy Systems (FUZZ-IEEE2013), 2013.
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data [PDF]
N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera
in: Proceedings of the 13th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2012), LNAI 7637, p. 169-178, 2012.
SMOTE-FRST: A new resampling method using fuzzy rough set theory [PDF]
E. Ramentol, N. Verbiest, R. Bello, Y. Caballero, C. Cornelis, F. Herrera
in: Proceedings of the 10th International FLINS Conference on uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS2012), p. 800-805, 2012.
SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation [PDF]
D. Mourisse, E. Lefever, N. Verbiest, Y. Saeys, M. De Cock, C. Cornelis
in: Proceedings of the 15th International Conference on Text, Speech and Dialogue (TSD2012), p. 248-255, 2012.
Fuzzy Rough Positive Region-based Nearest Neighbour Classification [PDF]
N. Verbiest, C. Cornelis, R. Jensen
in: Proceedings of the 20th International Conference on Fuzzy Systems (FUZZ-IEEE2012), p. 1961-1967, 2012.
Selección de Prototipos Basada en Conjuntos Rugosos Difusos [PDF]
N. Verbiest, C. Cornelis, F. Herrera
in: Proceedings of XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012), p. 638-643, 2012.
Una Aplicación de Conjuntos Rugosos Difusos en Selección de Características para la Mejora de Métodos de Selección de Instancias Evolutivos [PDF]
J. Derrac, S. García, C. Cornelis, F. Herrera
in: Proceedings of XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA2011), 2011.
Finding Similar Research Papers Using Language Models [PDF]
G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
in: Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation (SPIM2011), p. 106-113, 2011.
Multi-Adjoint Fuzzy Rough Sets [PDF]
C. Cornelis, J. Medina Moreno, N. Verbiest
in: Proceedings of the 3rd Workshop on Rough Set Theory (RST2011), 2011.
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. [PDF]
J. Derrac Rus, C. Cornelis, S. García, F. Herrera
Proceedings of the 11th International Work-Conference on Artificial Neural Networks (IWANN 2011), Lecture Notes on Computer Science 6691, p. 174-182, 2011.
Ordered Weighted Average Based Fuzzy Rough Sets [PDF]
C. Cornelis, N. Verbiest, R. Jensen
Proceedings of the 5th International Conference on Rough Sets and Knowledge Technology (RSKT 2010), p. 78-85, 2010
Metadata Impact on Research Paper Similarity [PDF]
G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
Proceedings of the 14th European Conference on Digital Libraries (ECDL 2010), p. 457-460, 2010
Bilattice-Based Aggregation Operators for Gradual Trust and Distrust [PDF]
P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
Proceedings of the International FLINS Conference on Foundations and Applications of Computational Intelligence (FLINS 2010), p. 505-510, 2010
Fuzzy-rough instance selection [PDF]
R. Jensen and C. Cornelis
Proceedings of the 19th International Conference on Fuzzy Systems (FUZZ-IEEE 2010), p. 1776-1782, 2010
Efficient Solving of Time-dependent Answer Set Programs [PDF]
T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock
Technical Communications of the 26th International Conference on Logic Programming (ICLP 2010), Leibniz International Proceedings in Informatics (LIPIcs) Vol. 7, p. 64-73, 2010
Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation [PDF]
N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma
Proceedings of The 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2010), p. 450-459, 2010
Ordered weighted averaging approaches for aggregating gradual trust and distrust [PDF]
C. Cornelis, P. Victor, E. Herrera-Viedma
Proceedings of XV Congreso Español sobre Tecnologías y Lógica Fuzzy, p. 555-560, 2010
Modeling Protein Interaction Networks with Answer Set Programming [PDF]
T. Fayruzov, M. De Cock, C. Cornelis, D. Vermeir
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2009), p. 99-104, 2009
Aggregation of Gradual Trust and Distrust [PDF]
P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
Proceedings of Eurofuse Workshop on Preference Modeling and Decision Analysis (Eurofuse 2009), p. 259-264, 2009
Hybrid Fuzzy-Rough Rule Induction and Feature Selection [PDF]
R. Jensen, C. Cornelis, Q. Shen
Proceedings of the 18th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), p. 1151-1156, 2009
Training a Personal Alert System for Research Information Recommendation [PDF]
G. Hurtado Martín, C. Cornelis, H. Naessens
Proceedings of the 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), p. 408-413, 2009
Valued Constraint Satisfaction Problems Applied to Functional Harmony [PDF]
N. Verbiest, C. Cornelis, Y. Saeys
Proceedings of the 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), p. 925-930, 2009
Filters of Interval-Valued Residuated Lattices [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. Kerre
Proceedings of 7th Panhellenic Logic Symposium (PLS 2009), p. 60-64, 2009
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
Proceedings of the AAAI Conference on Weblogs and Social Media (ICWSM 2009), 2009
Trust- and Distrust-Based Recommendations for Controversial Reviews [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
Proceedings of the Web Science Conference (WebSci'09: Society On-Line), 2009
The Role of Syntactic Features in Protein Interaction Extraction [PDF]
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
Proceedings of the 2nd CIKM workshop of Data and Text Mining Methods in Bioinformatics (DTMbio2008), p. 61-68, 2008
A New Approach to Fuzzy-Rough Nearest Neighbour Classification [PDF]
R. Jensen, C. Cornelis
Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), p. 310-319, 2008
Getting Cold Start Users Connected in a Recommender System's Trust Network [PDF]
P. Victor, M. De Cock, C. Cornelis, A. Teredesai
Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control (FLINS2008), p. 877-882, 2008
Pseudo-Chain Completeness of Formal Interval-Valued Fuzzy Logic [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E.E. Kerre
Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control (FLINS2008), p. 223-228, 2008
Personalizing information retrieval in CRISs with Fuzzy Sets and Rough Sets [PDF]
G. Hurtado Martín, C. Cornelis, H. Naessens
Proceedings of the 9th International Conference on Current Research Information Systems (CRIS2008), p. 51-59, 2008
A Noise-Tolerant Approach to Fuzzy-Rough Feature Selection [PDF]
C. Cornelis, R. Jensen
Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), p. 1598-1605, 2008
Feature Selection with Fuzzy Decision Reducts [PDF]
C. Cornelis, G. Hurtado Martín, R. Jensen, D. Slezak
Proceedings of the 3rd International Conference on Rough Sets and Knowledge Technology (RSKT2008), p. 284-291, 2008
Exploiting Grammatical Relations for Protein Relation Extraction and Role Labeling [PDF]
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: Proceedings of the 8th Dutch-Belgian Information Retrieval Workshop (DIR2008), p. 37-44, 2008
DEEPER: a Full Parsing based Approach to Protein Relation Extraction [PDF]
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: Proceedings of the 6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatica (EvoBio2008), Lecture Notes in Computer Science 4973, p. 36-47, 2008
Whom Should I Trust? The Impact of Key Figures on Cold Start Recommendations [PDF]
P. Victor, C. Cornelis, A.M. Teredesai, M. De Cock
in: Proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC2008), p. 2014-2018, 2008
A Fuzzy Formal Logic for Interval-Valued Fuzzy Sets [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. Kerre
in: Proceedings of 5th International Conference of the European Society for Fuzzy Logic and Related Technologies (EUSFLAT2007), Volume II, p. 13-19, 2007
Vaguely Quantified Rough Sets [PDF]
C. Cornelis, M. De Cock, A. Radzikowska
in: Proceedings of 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC2007), Lecture Notes in Artificial Intelligence 4482, p. 87-94, 2007
Enhanced Recommendations Through Propagation of Trust and Distrust [PDF]
P. Victor, C. Cornelis, M. De Cock
in: Proceedings of Workshop on Adaptation and Personalisation for e-Business Intelligence, organized at the IEEE/ACM/WI Conference on Web Intelligence, p. 263-266, 2006
Triangle Algebras: towards a Formalization of Interval-Valued Residuated Lattices [PDF]
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Proceedings of 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC2006), Lecture Notes in Computer Science 4259, p.117-126, 2006
Preference Modeling by Rectangular Bilattices [PDF]
O. Arieli, C. Cornelis, G. Deschrijver
Lecture Notes in Computer Science 3885, p.22-33, 2006
Reflections on Modelling Vagueness in Description Logics [PDF]
S. Schockaert, P. Victor, G.J. Houben, C. Cornelis, M. De Cock, E. Kerre
in: Proceedings of Uncertainty Reasoning for the Semantic Web (URSW2006), Workshop at the 5th International Semantic Web Conference, 2006
Fuzzy Spatial Relations between Vague Regions [PDF]
S. Schockaert, C. Cornelis, M. De Cock, E. Kerre
in: Proceedings of IEEE Intelligent Systems Conference, p. 221-226, 2006
Mining Positive and Negative Association Rules from Large Databases [PDF]
P. Yan, C. Cornelis, X. Zhang, G. Chen
Proceedings of International Conference on Cybernetics and Intelligent Systems (CIS'06), p. 613-618 (CD-ROM), 2006
Towards a Provenance-Preserving Trust Model in Agent Networks [PDF]
P. Victor, M. De Cock, C. Cornelis, P. Pinheiro da Silva
Proceedings of Models of Trust for the Web (MTW'06), Workshop at the 15th International World Wide Web Conference (WWW2006), 2006
A Fuzzy Relational Approach to Event Recommendation [PDF]
C. Cornelis, X. Guo, J. Lu, G. Zhang
in: Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI'05), p. 2231-2242 (CD-ROM), 2005
Bilattice-Based Squares and Triangles [PDF]
O. Arieli, C. Cornelis, G. Deschrijver, E. E. Kerre
Lecture Notes in Computer Science 3571, p. 563-574, 2005
Fuzzy Rough Set Based Web Query Expansion [PDF]
M. De Cock, C. Cornelis
in: Proceedings of Rough Sets and Soft Computing in Intelligent Agent and Web Technology, International Workshop at WIIAT2005 (2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology), p. 9-16, 2005
A Clear View on Quality Measures for Fuzzy Association Rules [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Proceedings of FSSCEF 2004 (International Conference on Fuzzy Sets and Soft Computing in Economics and Finance), p. 54-61, 2004
Efficient Approximate Reasoning with Positive and Negative Information [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
Lecture Notes in Artificial Intelligence 3214, p. 779-785, 2004
Mining Positive and Negative Fuzzy Association Rules [PDF]
P. Yan, G. Chen, C. Cornelis, M. De Cock, E. E. Kerre
Lecture Notes in Artificial Intelligence 3213, p. 270-276, 2004
Fuzzy Ant Based Clustering [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
Lecture Notes in Computer Science 3172, p. 342-349, 2004
Triangle and Square: a Comparison [PDF]
G. Deschrijver, C. Cornelis, E. E. Kerre
Proceedings of Tenth International Conference on Information Processing and Management in Knowledge-Based Systems, p. 1389-1395, 2004
Fuzzy Rough Sets: Beyond the Obvious [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Proceedings of FUZZ-IEEE2004 (2004 IEEE International Conference on Fuzzy Systems), Volume 1, p. 103-108, 2004
Intuitionistic Fuzzy Modal Logic Operations: a New Outlook [PDF]
K. T. Atanassov, G. Deschrijver, C. Cornelis, E. E. Kerre, D. A. Orozova
in: Proceedings of Scientific Conference "Contemporary technologies - 03", p. 32-39, 2003
Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets: a Critical Comparison [PDF]
C. Cornelis, K. T. Atanassov, E. E. Kerre
in: Proceedings of Third International Conference on Fuzzy Logic and Technology (M. Wagenknecht, R. Hampel, eds.), p. 159-163, 2003
Inclusion Measures in Intuitionistic Fuzzy Set Theory [PDF]
C. Cornelis, E. E. Kerre
Lecture Notes in Computer Science 2711, p. 345-356, 2003
Fuzzy Association Rules: a Two-Sided Approach [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Proceedings of FIP2003 (International Conference on Fuzzy Information processing: Theories and Applications), p. 385-390, 2003
The Quest for Optimal Paths in Fuzzy Weighted Graphs [PDF]
P. De Kesel, C. Cornelis, E. E. Kerre
in: Proceedings of International Conference on Fuzzy Information Processing-Theories and Applications (Y. Liu, G. Chen, M. Ying, K.Y. Cai, eds.), p. 687-691, 2003
Linguistic Hedges in an Intuitionistic Fuzzy Setting [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
in: Proceedings of FSKD'02 (1st International Conference on Fuzzy Systems and Knowledge Discovery), Volume I, p. 101-105, 2002
Assessing Degrees of Possibility and Certainty within an Unreliable Environment [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
in: Proceedings of RASC2002 (4th International Conference on Recent Advances in Soft Computing), p. 194-199 (CD-ROM), 2002
On the Structure and Interpretation of an Intuitionistic Fuzzy Expert System [PDF]
C. Cornelis, E. E. Kerre
in: Proceedings of EUROFUSE 2002 (B. De Baets, J. Fodor, G. Pasi, eds.), p. 173-178, 2002
Intuitionistic Fuzzy Relational Calculus: an Overview [PDF]
C. Cornelis, G. Deschrijver, M. De Cock, E. E. Kerre
in: Proceedings of IS'2002 (First International IEEE Symposium Intelligent Systems), Volume I, p. 340-345, 2002
Intuitionistic Fuzzy Connectives Revisited [PDF]
G. Deschrijver, C. Cornelis, E. E. Kerre
in: Proceedings of 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 1839-1844, 2002
Classification of Intuitionistic Fuzzy Implicators: an Algebraic Approach [PDF]
C. Cornelis, G. Deschrijver, E. E. Kerre
in : Proceedings of 6th Joint Conference on Information Sciences (H. J. Caulfield, S. Chen, H. Chen, R. Duro, V. Honavar, E. E. Kerre, M. Lu, M. G. Romay, T. K. Shih, D. Ventura, P. P. Wang, Y. Yang, eds.), p. 105-108, 2002
Survey of the Research on Intuitionistic Fuzzy Sets [PDF]
M. Nikolova, N. Nikolov, C. Cornelis, G. Deschrijver
in : Proceedings of 6th Joint Conference on Information Sciences (H. J. Caulfield, S. Chen, H. Chen, R. Duro, V. Honavar, E. E. Kerre, M. Lu, M. G. Romay, T. K. Shih, D. Ventura, P. P. Wang, Y. Yang, eds.), p. 117-120, 2002
The Compositional Rule of Inference in an Intuitionistic Fuzzy Logic Setting [PDF]
C. Cornelis, G. Deschrijver
in : Proceedings of the ESSLLI2001 Student Session (Kristina Striegnitz, ed.), p. 83-94, 2001
Inclusion-Based Approximate Reasoning [PDF]
C. Cornelis, E. E. Kerre
Lecture Notes in Computer Science 2074, p. 221-230, 2001.

Abstracts

Machine Learning for Bioinformatics: Uncertainty Management with Fuzzy Rough Sets
S. Vluymans, C. Cornelis, Y. Saeys
Invited abstract for 10th International Conference on Scalable Uncertainty Management (SUM 2016), Nice, September 2016
Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets
S. Vluymans, N. Verbiest, C. Cornelis, N. García-Pedrajas, Y. Saeys
in: Proceedings of the 25th annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2016), Kortrijk, September 2016
Instance Selection for Imbalanced Data
S. Vluymans, N. Verbiest, C. Cornelis, Y. Saeys
in: Proceedings of 23rd annual Belgian-Dutch Conference on Machine Learning, p. 9, Brussels, June 2014
A Fuzzy Rough Set Model based on Implicators and Conjunctors
L. D'eer, N. Verbiest, C. Cornelis, L. Godo
in: Proceedings of 35th Linz Seminar on Fuzzy Set Theory, p. 39-43, Linz, February 2014
Semi-structured data for research paper similarity and call for paper recommendation
G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
AUGent Workshop on Language Technology and Computational Intelligence, Gent, December 2012
Prototype Selection Ensembles
N. Verbiest, Y. Saeys, C. Cornelis
AUGent Workshop on Language Technology and Computational Intelligence, Gent, December 2012
Finding Similar Research Papers using Language Models
G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
Proceedings of the 12th Dutch-Belgian Information Retrieval Workshop (DIR2012), p. 63-64, Gent, February 2012
Trust Networks for Recommender Systems
C. Cornelis
Invited session "Soft Computing: Expert Foresight", 13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, Moscow, June 2011
Granularity-Based Instance Selection
N. Verbiest, C. Cornelis, F. Herrera
in: Proceedings of 20th Annual Belgian-Dutch Conference on Machine Learning, p. 101-103, The Hague, May 2011
Interval-Valued Logics
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Proceedings of 31st Linz Seminar on Fuzzy Set Theory (P. Cintula, E. P. Klement, L. N. Stout, eds.), p. 152-154, Linz, February 2010
Rough Sets and Fuzzy Rough Sets: Models and Applications
C. Cornelis
XV Congreso Español sobre Tecnologías y Lógica Fuzzy, Punta Umbría, February 2010
A Logic Programming Approach to Protein Interaction Networks
T. Fayruzov, M. De Cock, C. Cornelis, D. Vermeir
Growth Factor and Signal Transduction Symposium, Ames, June 2009
Interval-Valued Fuzzy Set Theory: Results and Challenges
C. Cornelis
in: Proceedings of 9th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, O. Nanasiova, S. Saminger-Platz, E. Drobna, eds.), p. 9, Liptovsky Jan, February 2008
A New Approach to Fuzzy Rough Data Analysis
C. Cornelis, G. Hurtado Martín
in: Proceedings of 9th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, O. Nanasiova, S. Saminger-Platz, E. Drobna, eds.), p. 32, Liptovsky Jan, February 2008
Interval-Valued Residuated Lattices
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Proceedings of 9th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, O. Nanasiova, S. Saminger-Platz, E. Drobna, eds.), p. 126, Liptovsky Jan, February 2008

in: Proceedings of 1st International Conference on Boolean Algebras, Lattices, Algebraic Logic, Quantum Logic, Universal Algebra, Set Theory, Set-theoretic Topology and Point-free Topology (BLAST'2008), p. 6, Denver (CO), August 2008
PAS: a personal alert system for information retrieval in CRISs [abstract]
G. Hurtado Martín, C. Cornelis
Dutch Belgian Database Day (DBDBD'07), Eindhoven, November 2007
Protein Relation Extraction using Full Parsing Information
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
Atila Meeting, Gent, November 2007
Fuzzy Rough Sets: from Theory into Practice
C. Cornelis
Computer Science Departmental Seminars, Aberystwyth University, Aberystwyth, October 2007
GeneFetch: Enriching Gene Information with Text Mining for Automatic Knowledge Base Construction
S. Van Landeghem, Y. Saeys, C. Cornelis, M.A. Benotmane, Y. Van de Peer
in: Proceedings of the International Workshop on Machine Learning in Systems Biology 2007 (MLSB'07), p. 105, Paris, September 2007
in: Proceedings of Benelux Bioinformatics Conference 2007 (BBC'07), Leuven, November 2007
A Bilattice-Based Trust Model for Personalizing Recommendations [PDF]
P. Victor, C. Cornelis, M. De Cock
First Research Contact Day of the Computational Intelligence & Learning Doctoral School 2006, Brussels, November 2006
Enriching Interval-Valued Fuzzy Formal Logic by Modal Operations
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Proceedings of Workshop "Intelligent Systems for Data Mining and Information Processing: Methods and Applications", p. 26, Gent, September 2006
Trust Propagation Operators in Social Network Analysis
P. Victor, C. Cornelis, M. De Cock
in: Proceedings of Workshop "Intelligent Systems for Data Mining and Information Processing: Methods and Applications", p. 21, Gent, September 2006
Mining Both Positive and Negative Association Rules within the Support-Confidence Framework
C. Cornelis, P. Yan, X. Zhang, G. Chen
in: Proceedings of Workshop "Intelligent Systems for Data Mining and Information Processing: Methods and Applications", p. 14-15, Gent, September 2006
Triangle logic: a formal logic for interval-valued residuated lattices
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Proceedings of Workshop "Studia Logica", p. 143-144, Torun (Poland), September 2006
Interval-Valued Fuzzy Formal Logic
B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
in: Proceedings of 8th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, E. Drobna, F. Chovanec, eds.), p. 110, Liptovsky Jan, February 2006
Trust Networks in Recommender Systems
P. Victor, C. Cornelis, M. De Cock
in: Proceedings of ORBEL20 (Annual Conference of the Belgian Operations Research society, B. De Baets, H. De Meyer, K. Maes, eds.), p. 78-79, Gent, January 2006
Modelling Vagueness and Uncertainty in Recommender Systems
C. Cornelis, J. Lu
in: Proceedings of Workshop on Intuitionistic Fuzzy Sets and Other Extensions/Applications of Fuzzy Sets (C. Cornelis, E. E. Kerre, eds.), p. 17-18, Gent, September 2005
A Broad View of Fuzzy Logic [abstract]
C. Cornelis
Logic and Formal Methods Seminar, Tel-Aviv University, Tel-Aviv, May 2004
Backstage with Support and Confidence in Fuzzy Association Rules
C. Cornelis, M. De Cock, E. E. Kerre
Workshop "On Methods and Applications of Knowledge Discovery to Support Intelligent Business Decisions", Hasselt, February 2004
Intuitionistic Fuzzy Inclusion Measures
C. Cornelis
First Warsaw International Seminar on Soft Computing, Warsaw, September 2003
Inference in Intuitionistic Fuzzy Expert Systems
C. Cornelis, E. E. Kerre
in: Proceedings of 6th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, E. Drobna, F. Chovanec, eds.), p. 45, Liptovsky Jan, February 2002

Editorials

Special Issue on Rough Sets and Fuzzy Sets [Publisher's link]
C. Cornelis, H.S. Nguyen, S.K. Pal, A. Skowron, W.Z. Wu
Fundamenta Informaticea 142(1-4), p. 1-400, 2015
Special Issue dedicated to the 60th birthday of Etienne E. Kerre [Publisher's link]
C. Cornelis, M. De Cock
Journal of Intelligent and Fuzzy Systems 16(4), p. 239-303, 2005

Ph. D. Thesis

Two-Sidedness in the Representation and Processing of Imprecise Information (in Dutch, with English summary) [PDF]