Inclusion-Based Approximate Reasoning. - Chris Cornelis; Etienne E. Kerre (International Conference on Computational Science (2), 2001)

Linguistic Hedges in an Intuitionistic Fuzzy Setting. - Chris Cornelis; Martine De Cock; Etienne E. Kerre (FSKD, 2002)

Classification Of Intuitionistic Fuzzy Implicators: An Algebraic Approach. - Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (JCIS, 2002)

Survey of the Research On Intuitionistic Fuzzy Sets. - Mariana Nikolova; Nikolai Nikolov; Chris Cornelis; Glad Deschrijver (JCIS, 2002)

Inclusion Measures in Intuitionistic Fuzzy Set Theory. - Chris Cornelis; Etienne E. Kerre (ECSQARU, 2003)

Intuitionistic fuzzy sets and interval-valued fuzzy sets: a critical comparison. - Chris Cornelis; Krassimir T. Atanassov; Etienne E. Kerre (EUSFLAT Conf., 2003)

Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge. - Chris Cornelis; Martine De Cock; Etienne E. Kerre (Expert Syst. J. Knowl. Eng., 2003)

Sinha-Dougherty approach to the fuzzification of set inclusion revisited. - Chris Cornelis; Carol Van der Donck; Etienne E. Kerre (Fuzzy Sets Syst., 2003)

Fuzzy Ant Based Clustering. - Steven Schockaert; Martine De Cock; Chris Cornelis; Etienne E. Kerre (ANTS Workshop, 2004)

Fuzzy rough sets: beyond the obvious. - Martine De Cock; Chris Cornelis; Etienne E. Kerre (FUZZ-IEEE, 2004)

Efficient Approximate Reasoning with Positive and Negative Information. - Chris Cornelis; Martine De Cock; Etienne E. Kerre (KES, 2004)

Mining Positive and Negative Fuzzy Association Rules. - Peng Yan; Guoqing Chen; Chris Cornelis; Martine De Cock; Etienne E. Kerre (KES, 2004)

Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application. - Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (Int. J. Approx. Reason., 2004)

Shortest paths in fuzzy weighted graphs. - Chris Cornelis; Peter De Kesel; Etienne E. Kerre (Int. J. Intell. Syst., 2004)

On the representation of intuitionistic fuzzy t-norms and t-conorms. - Glad Deschrijver; Chris Cornelis; Etienne E. Kerre (IEEE Trans. Fuzzy Syst., 2004)

Bilattice-Based Squares and Triangles. - Ofer Arieli; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (ECSQARU, 2005)

A Fuzzy Relational Approach to Event Recommendation. - Chris Cornelis; Xuetao Guo; Jie Lu 001; Guanquang Zhang (IICAI, 2005)

Elicitation of fuzzy association rules from positive and negative examples. - Martine De Cock; Chris Cornelis; Etienne E. Kerre (Fuzzy Sets Syst., 2005)

Special issue dedicated to the 60th birthday of Etienne E. Kerre. - Chris Cornelis; Martine De Cock (J. Intell. Fuzzy Syst., 2005)

Relatedness of fuzzy sets. - Steven Schockaert; Martine De Cock; Chris Cornelis (J. Intell. Fuzzy Syst., 2005)

Intuitionistic Fuzzy Relational Images. - Martine De Cock; Chris Cornelis; Etienne E. Kerre (Computational Intelligence for Modelling and Prediction, 2005)

Association Rule Based Specialization in ER Models. - Martine De Cock; Chris Cornelis; Ming Ren; Guoqing Chen; Etienne E. Kerre (Intelligent Data Mining, 2005)

Enhanced Recommendations through Propagation of Trust and Distrust. - Patricia Victor; Chris Cornelis; Martine De Cock (IAT Workshops, 2006)

Preference Modeling by Rectangular Bilattices. - Ofer Arieli; Chris Cornelis; Glad Deschrijver (MDAI, 2006)

Towards a Provenance-Preserving Trust Model in Agent Networks. - Patricia Victor; Chris Cornelis; Martine De Cock; Paulo Pinheiro da Silva (MTW, 2006)

Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (RSCTC, 2006)

Reflections on Modelling Vagueness in Description Logics. - Steven Schockaert; Patricia Victor; Geert-Jan Houben; Chris Cornelis; Martine De Cock; Etienne E. Kerre (URSW, 2006)

Advances and challenges in interval-valued fuzzy logic. - Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (Fuzzy Sets Syst., 2006)

A Fuzzy Formal Logic for Interval-valued Residuated Lattices. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (EUSFLAT Conf. (2), 2007)

Vaguely Quantified Rough Sets. - Chris Cornelis; Martine De Cock; Anna Maria Radzikowska (RSFDGrC, 2007)

Clustering web search results using fuzzy ants. - Steven Schockaert; Martine De Cock; Chris Cornelis; Etienne E. Kerre (Int. J. Intell. Syst., 2007)

A Bilattice-Based Framework for Handling Graded Truth and Imprecision. - Glad Deschrijver; Ofer Arieli; Chris Cornelis; Etienne E. Kerre (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007)

Representability in Interval-Valued Fuzzy Set Theory. - Glad Deschrijver; Chris Cornelis (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007)

One-and-only item recommendation with fuzzy logic techniques. - Chris Cornelis; Jie Lu 001; Xuetao Guo; Guanquang Zhang (Inf. Sci., 2007)

Fuzzy Rough Sets: The Forgotten Step. - Martine De Cock; Chris Cornelis; Etienne E. Kerre (IEEE Trans. Fuzzy Syst., 2007)

Uncertainty Modeling by Bilattice-Based Squares and Triangles. - Chris Cornelis; Ofer Arieli; Glad Deschrijver; Etienne E. Kerre (IEEE Trans. Fuzzy Syst., 2007)

The role of syntactic features in protein interaction extraction. - Timur Fayruzov; Martine De Cock; Chris Cornelis; Véronique Hoste (DTMBIO, 2008)

DEEPER: A Full Parsing Based Approach to Protein Relation Extraction. - Timur Fayruzov; Martine De Cock; Chris Cornelis; Véronique Hoste (EvoBIO, 2008)

A noise-tolerant approach to fuzzy-rough feature selection. - Chris Cornelis; Richard Jensen (FUZZ-IEEE, 2008)

A New Approach to Fuzzy-Rough Nearest Neighbour Classification. - Richard Jensen; Chris Cornelis (RSCTC, 2008)

Feature Selection with Fuzzy Decision Reducts. - Chris Cornelis; Germán Hurtado Martín; Richard Jensen; Dominik Slezak (RSKT, 2008)

Whom should I trust?: the impact of key figures on cold start recommendations. - Patricia Victor; Chris Cornelis; Ankur Teredesai; Martine De Cock (SAC, 2008)

Key figure impact in trust-enhanced recommender systems. - Patricia Victor; Chris Cornelis; Martine De Cock; Ankur Teredesai (AI Commun., 2008)

Triangle algebras: A formal logic approach to interval-valued residuated lattices. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (Fuzzy Sets Syst., 2008)

A characterization of interval-valued residuated lattices. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (Int. J. Approx. Reason., 2008)

Fuzzy region connection calculus: Representing vague topological information. - Steven Schockaert; Martine De Cock; Chris Cornelis; Etienne E. Kerre (Int. J. Approx. Reason., 2008)

Fuzzy region connection calculus: An interpretation based on closeness. - Steven Schockaert; Martine De Cock; Chris Cornelis; Etienne E. Kerre (Int. J. Approx. Reason., 2008)

Modeling Protein Interaction Networks with Answer Set Programming. - Timur Fayruzov; Martine De Cock; Chris Cornelis; Dirk Vermeir (BIBM, 2009)

Training a Personal Alert System for Research Information Recommendation. - Germán Hurtado Martín; Chris Cornelis; Helga Naessens (IFSA/EUSFLAT Conf., 2009)

Valued Constraint Satisfaction Problems Applied to Functional Harmony. - Nele Verbiest; Chris Cornelis; Yvan Saeys (IFSA/EUSFLAT Conf., 2009)

Hybrid fuzzy-rough rule induction and feature selection. - Richard Jensen; Chris Cornelis; Qiang Shen 001 (FUZZ-IEEE, 2009)

A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items. - Patricia Victor; Chris Cornelis; Martine De Cock; Ankur Teredesai (ICWSM, 2009)

Exploiting Properties of Legislative Texts to Improve Classification Accuracy. - Rob Opsomer; Geert De Meyer; Chris Cornelis; Greet Van Eetvelde (JURIX, 2009)

Linguistic feature analysis for protein interaction extraction. - Timur Fayruzov; Martine De Cock; Chris Cornelis; Véronique Hoste (BMC Bioinform., 2009)

Gradual trust and distrust in recommender systems. - Patricia Victor; Chris Cornelis; Martine De Cock; Paulo Pinheiro da Silva (Fuzzy Sets Syst., 2009)

The pseudo-linear semantics of interval-valued fuzzy logics. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (Inf. Sci., 2009)

Extending boolean regulatory network models with answer set programming. - Timur Fayruzov; Jeroen Janssen; Chris Cornelis; Dirk Vermeir; Martine De Cock (BIBM Workshops, 2010)

Metadata Impact on Research Paper Similarity. - Germán Hurtado Martín; Steven Schockaert; Chris Cornelis; Helga Naessens (ECDL, 2010)

Fuzzy-rough instance selection. - Richard Jensen; Chris Cornelis (FUZZ-IEEE, 2010)

Efficient Solving of Time-dependent Answer Set Programs. - Timur Fayruzov; Jeroen Janssen; Dirk Vermeir; Chris Cornelis; Martine De Cock (ICLP (Technical Communications), 2010)

Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation. - Nele Verbiest; Chris Cornelis; Patricia Victor; Enrique Herrera-Viedma (IEA/AIE (3), 2010)

Ordered Weighted Average Based Fuzzy Rough Sets. - Chris Cornelis; Nele Verbiest; Richard Jensen (RSKT, 2010)

Attribute selection with fuzzy decision reducts. - Chris Cornelis; Richard Jensen; Germán Hurtado Martín; Dominik Slezak (Inf. Sci., 2010)

Filters of residuated lattices and triangle algebras. - Bart Van Gasse; Glad Deschrijver; Chris Cornelis; Etienne E. Kerre (Inf. Sci., 2010)

A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. - Joaquín Derrac; Chris Cornelis; Salvador García 001; Francisco Herrera (IWANN (1), 2011)

Finding Similar Research Papers using Language Models. - Germán Hurtado Martín; Steven Schockaert; Chris Cornelis; Helga Naessens (SPIM, 2011)

Trust- and Distrust-Based Recommendations for Controversial Reviews. - Patricia Victor; Chris Cornelis; Martine De Cock; Ankur Teredesai (IEEE Intell. Syst., 2011)

Practical aggregation operators for gradual trust and distrust. - Patricia Victor; Chris Cornelis; Martine De Cock; Enrique Herrera-Viedma (Fuzzy Sets Syst., 2011)

Modelling gene and protein regulatory networks with Answer Set Programming. - Timur Fayruzov; Jeroen Janssen; Dirk Vermeir; Chris Cornelis; Martine De Cock (Int. J. Data Min. Bioinform., 2011)

Fuzzy-rough nearest neighbour classification and prediction. - Richard Jensen; Chris Cornelis (Theor. Comput. Sci., 2011)

Fuzzy-Rough Nearest Neighbour Classification. - Richard Jensen; Chris Cornelis (Trans. Rough Sets, 2011)

Trust and Recommendations. - Patricia Victor; Martine De Cock; Chris Cornelis (Recommender Systems Handbook, 2011)

Interval-Valued Algebras and Fuzzy Logics. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver (35 Years of Fuzzy Set Theory, 2011)

Fuzzy rough positive region based nearest neighbour classification. - Nele Verbiest; Chris Cornelis; Richard Jensen (FUZZ-IEEE, 2012)

Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. - Nele Verbiest; Enislay Ramentol; Chris Cornelis; Francisco Herrera (IBERAMIA, 2012)

SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation. - Dieter Mourisse; Els Lefever; Nele Verbiest; Yvan Saeys; Martine De Cock; Chris Cornelis (TSD, 2012)

Trust and distrust aggregation enhanced with path length incorporation. - Nele Verbiest; Chris Cornelis; Patricia Victor; Enrique Herrera-Viedma (Fuzzy Sets Syst., 2012)

Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection. - Joaquín Derrac; Chris Cornelis; Salvador García 001; Francisco Herrera (Inf. Sci., 2012)

The standard completeness of interval-valued monoidal t-norm based logic. - Bart Van Gasse; Chris Cornelis; Glad Deschrijver; Etienne E. Kerre (Inf. Sci., 2012)

An Excellent Guest Professor at Ghent University. - Chris Cornelis; Martine De Cock; Glad Deschrijver; Mike Nachtegael; Steven Schockaert (A Tribute to Prof. Dr. Da Ruan, 2013)

Quality, frequency and similarity based fuzzy nearest neighbor classification. - Nele Verbiest; Chris Cornelis; Richard Jensen (FUZZ-IEEE, 2013)

Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. - Lynn D'eer; Nele Verbiest; Chris Cornelis; Lluís Godo (RSFDGrC, 2013)

OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory. - Nele Verbiest; Chris Cornelis; Francisco Herrera (RSFDGrC, 2013)

Using semi-structured data for assessing research paper similarity. - Germán Hurtado Martín; Steven Schockaert; Chris Cornelis; Helga Naessens (Inf. Sci., 2013)

FRPS: A Fuzzy Rough Prototype Selection method. - Nele Verbiest; Chris Cornelis; Francisco Herrera (Pattern Recognit., 2013)

On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection. - Joaquín Derrac; Nele Verbiest; Salvador García 001; Chris Cornelis; Francisco Herrera (Soft Comput., 2013)

Enhancing the trust-based recommendation process with explicit distrust. - Patricia Victor; Nele Verbiest; Chris Cornelis; Martine De Cock (ACM Trans. Web, 2013)

Computing fuzzy rough approximations in large scale information systems. - Hasan Asfoor; Rajagopalan Srinivasan; Gayathri Vasudevan; Nele Verbiest; Chris Cornelis; Matthew E. Tolentino; Ankur Teredesai; Martine De Cock (IEEE BigData, 2014)

Feature grouping-based fuzzy-rough feature selection. - Richard Jensen; Neil Mac Parthaláin; Chris Cornelis (FUZZ-IEEE, 2014)

Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. - Nele Verbiest; Enislay Ramentol; Chris Cornelis; Francisco Herrera (Appl. Soft Comput., 2014)

Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection. - Chris Cornelis; Jesús Medina 001; Nele Verbiest (Int. J. Approx. Reason., 2014)

Duality, conjugacy and adjointness of approximation operators in covering-based rough sets. - Mauricio Restrepo; Chris Cornelis; Jonatan Gómez (Int. J. Approx. Reason., 2014)

Partial order relation for approximation operators in covering based rough sets. - Mauricio Restrepo; Chris Cornelis; Jonatan Gómez (Inf. Sci., 2014)

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". - Lala Septem Riza; Andrzej Janusz; Christoph Bergmeir; Chris Cornelis; Francisco Herrera; Dominik Slezak; José Manuel Benítez 001 (Inf. Sci., 2014)

A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. - Dánel Sánchez Tarragó; Chris Cornelis; Rafael Bello 001; Francisco Herrera (Knowl. Based Syst., 2014)

Evolutionary undersampling for imbalanced big data classification. - Isaac Triguero; Mikel Galar; Sarah Vluymans; Chris Cornelis; Humberto Bustince; Francisco Herrera; Yvan Saeys (CEC, 2015)

Fuzzy Covering based Rough Sets Revisited. - Lynn D'eer; Chris Cornelis; Daniel Sánchez 001 (IFSA-EUSFLAT, 2015)

Fuzzy Rough Set Prototype Selection for Regression. - Sarah Vluymans; Yvan Saeys; Chris Cornelis; Ankur Teredesai; Martine De Cock (FUZZ-IEEE, 2015)

Distributed fuzzy rough prototype selection for Big Data regression. - Sarah Vluymans; Hasan Asfoor; Yvan Saeys; Chris Cornelis; Matthew E. Tolentino; Ankur Teredesai; Martine De Cock (NAFIPS/WConSC, 2015)

Semi-Supervised Fuzzy-Rough Feature Selection. - Richard Jensen; Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (RSFDGrC, 2015)

New Neighborhood Based Rough Sets. - Lynn D'eer; Chris Cornelis (RSKT, 2015)

A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis. - Lynn D'eer; Nele Verbiest; Chris Cornelis; Lluís Godo (Fuzzy Sets Syst., 2015)

Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey. - Sarah Vluymans; Lynn D'eer; Yvan Saeys; Chris Cornelis (Fundam. Informaticae, 2015)

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. - Enislay Ramentol; Sarah Vluymans; Nele Verbiest; Yaile Caballero; Rafael Bello 001; Chris Cornelis; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2015)

Fuzzy-Rough Hybridization. - Masahiro Inuiguchi; Wei-Zhi Wu; Chris Cornelis; Nele Verbiest (Handbook of Computational Intelligence, 2015)

Multiple Instance Learning - Foundations and Algorithms - Francisco Herrera; Sebastián Ventura; Rafael Bello 001; Chris Cornelis; Amelia Zafra; Dánel Sánchez Tarragó; Sarah Vluymans (Springer, 2016)

Fuzzy rough sets for self-labelling: An exploratory analysis. - Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (FUZZ-IEEE, 2016)

A Semantical Approach to Rough Sets and Dominance-Based Rough Sets. - Lynn D'eer; Chris Cornelis; Yiyu Yao (IPMU (2), 2016)

Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis. - Nele Verbiest; Joaquín Derrac; Chris Cornelis; Salvador García 001; Francisco Herrera (Appl. Soft Comput., 2016)

Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. - Nele Verbiest; Sarah Vluymans; Chris Cornelis; Nicolás García-Pedrajas; Yvan Saeys (Appl. Soft Comput., 2016)

Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. - Enislay Ramentol; I. Gondres; S. Lajes; Rafael Bello 001; Yaile Caballero; Chris Cornelis; Francisco Herrera (Eng. Appl. Artif. Intell., 2016)

A semantically sound approach to Pawlak rough sets and covering-based rough sets. - Lynn D'eer; Chris Cornelis; Yiyu Yao (Int. J. Approx. Reason., 2016)

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. - Sarah Vluymans; Isaac Triguero; Chris Cornelis; Yvan Saeys (Neurocomputing, 2016)

Neighborhood operators for covering-based rough sets. - Lynn D'eer; Mauricio Restrepo; Chris Cornelis; Jonatan Gómez (Inf. Sci., 2016)

Fuzzy rough classifiers for class imbalanced multi-instance data. - Sarah Vluymans; Dánel Sánchez Tarragó; Yvan Saeys; Chris Cornelis; Francisco Herrera (Pattern Recognit., 2016)

Fuzzy Multi-Instance Classifiers. - Sarah Vluymans; Dánel Sánchez Tarragó; Yvan Saeys; Chris Cornelis; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2016)

Fuzzy neighborhood operators based on fuzzy coverings. - Lynn D'eer; Chris Cornelis; Lluís Godo (Fuzzy Sets Syst., 2017)

Notes on covering-based rough sets from topological point of view: Relationships with general framework of dual approximation operators. - Lynn D'eer; Chris Cornelis (Int. J. Approx. Reason., 2017)

A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships. - Lynn D'eer; Chris Cornelis (Fuzzy Sets Syst., 2018)

Multi-label classification using a fuzzy rough neighborhood consensus. - Sarah Vluymans; Chris Cornelis; Francisco Herrera; Yvan Saeys (Inf. Sci., 2018)

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. - Sarah Vluymans; Alberto Fernández 001; Yvan Saeys; Chris Cornelis; Francisco Herrera (Knowl. Inf. Syst., 2018)

Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (EUSFLAT Conf., 2019)

A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IJCRS, 2019)

Rough Matroids Based on Dual Approximation Operators. - Mauricio Restrepo; Chris Cornelis (IJCRS, 2019)

Decision reducts and bireducts in a covering approximation space and their relationship to set definability. - Lynn D'eer; Chris Cornelis (Int. J. Approx. Reason., 2019)

Weight selection strategies for ordered weighted average based fuzzy rough sets. - Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (Inf. Sci., 2019)

fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IJCRS, 2020)

Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (IJCRS, 2020)

Attribute Reduction from Closure Operators and Matroids in Rough Set Theory. - Mauricio Restrepo; Chris Cornelis (IJCRS, 2020)

Scalable Approximate FRNN-OWA Classification. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IEEE Trans. Fuzzy Syst., 2020)

Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets. - Olha Kaminska; Chris Cornelis; Véronique Hoste (IJCRS, 2021)

Adapting Fuzzy Rough Sets for Classification with Missing Values. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IJCRS, 2021)

Attribute Reduction Using Functional Dependency Relations in Rough Set Theory. - Mauricio Restrepo; Chris Cornelis (IJCRS, 2021)

Nearest neighbour approaches for Emotion Detection in Tweets. - Olha Kaminska; Chris Cornelis; Véronique Hoste (WASSA@EACL, 2021)

A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (CoRR, 2021)

Fuzzy extensions of the dominance-based rough set approach. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (Int. J. Approx. Reason., 2021)

Average Localised Proximity: A new data descriptor with good default one-class classification performance. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (Pattern Recognit., 2021)

Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities. - Chris Cornelis (FedCSIS, 2022)

Fuzzy Quantifier-Based Fuzzy Rough Sets. - Adnan Theerens; Chris Cornelis (FedCSIS, 2022)

Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification. - Oliver Urs Lenz; Chris Cornelis; Daniel Peralta (FUZZ-IEEE, 2022)

LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection. - Olha Kaminska; Chris Cornelis; Véronique Hoste (SemEval@NAACL, 2022)

Fuzzy granular approximation classifier. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (CoRR, 2022)

Representing missing values through polar encoding. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (CoRR, 2022)

Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm. - Henri Bollaert; Chris Cornelis (CoRR, 2022)

Granular representation of OWA-based fuzzy rough sets. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (Fuzzy Sets Syst., 2022)

Choquet-based fuzzy rough sets. - Adnan Theerens; Oliver Urs Lenz; Chris Cornelis (Int. J. Approx. Reason., 2022)

Optimised one-class classification performance. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (Mach. Learn., 2022)

No Imputation Without Representation. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (BNAIC/BENELEARN, 2023)

Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial Lecture - Extended Abstract). - Chris Cornelis; Henri Bollaert (FedCSIS, 2023)

Classifying Token Frequencies Using Angular Minkowski p-Distance. - Oliver Urs Lenz; Chris Cornelis (IJCRS, 2023)

A unified weighting framework for evaluating nearest neighbour classification. - Oliver Urs Lenz; Henri Bollaert; Chris Cornelis (CoRR, 2023)

Kitainik axioms do not characterize the class of inclusion measures based on contrapositive fuzzy implications. - Nicolás Madrid; Chris Cornelis (Fuzzy Sets Syst., 2023)

Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony. - Olha Kaminska; Chris Cornelis; Véronique Hoste (Inf. Sci., 2023)

Granular approximations: A novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (Inf. Sci., 2023)

Uncertainty and three-way decision in data science. - JingTao Yao 001; Chris Cornelis; Guoyin Wang 001; Yiyu Yao (Int. J. Approx. Reason., 2023)

Fuzzy rough sets based on fuzzy quantification. - Adnan Theerens; Chris Cornelis (Fuzzy Sets Syst., 2023)

Fuzzy Rough Choquet Distances. - Adnan Theerens; Chris Cornelis (MDAI, 2024)

Optimising the Attribute Order in Fuzzy Rough Rule Induction. - Henri Bollaert; Chris Cornelis; Marko Palangetic; Salvatore Greco; Roman Slowinski (IJCRS (1), 2024)

Mapper-Based Rough Sets. - Mauricio Restrepo; Chris Cornelis (IJCRS (1), 2024)

Fuzzy Rough Choquet Distances for Classification. - Adnan Theerens; Chris Cornelis (CoRR, 2024)

On the granular representation of fuzzy quantifier-based fuzzy rough sets. - Adnan Theerens; Chris Cornelis (Inf. Sci., 2024)

Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. - Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (Fuzzy Sets Syst., 2024)

Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IEEE Trans. Fuzzy Syst., 2024)

An Exploration of Ideals and Filters in Triangle Algebras. - Euclide Noumen; Fabrice Tchoua Yinga; Blaise Blériot Koguep Njionou; Chris Cornelis (Axioms, 2024)

FRRI: A novel algorithm for fuzzy-rough rule induction. - Henri Bollaert; Marko Palangetic; Chris Cornelis; Salvatore Greco; Roman Slowinski (Inf. Sci., 2025)

Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration. - Adnan Theerens; Yvan Saeys; Chris Cornelis (CoRR, 2025)