Chris Cornelis

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 66

Top Venues

CoRR

IJCRS

Inf. Sci.

Int. J. Approx. Reason.

Publications

Adnan Theerens, Chris Cornelis
Fuzzy Rough Choquet Distances for Classification. CoRR (2024)
Adnan Theerens, Chris Cornelis
Fuzzy Rough Choquet Distances. MDAI (2024)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Mauricio Restrepo, Chris Cornelis
Mapper-Based Rough Sets. IJCRS (1) (2024)
Henri Bollaert, Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
FRRI: a novel algorithm for fuzzy-rough rule induction. CoRR (2024)
Adnan Theerens, Chris Cornelis
On the granular representation of fuzzy quantifier-based fuzzy rough sets. Inf. Sci. 665 (2024)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. Fuzzy Sets Syst. 478 (2024)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Granular approximations: A novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation. Inf. Sci. 629 (2023)
Olha Kaminska, Chris Cornelis, Véronique Hoste
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony. Inf. Sci. 625 (2023)
Chris Cornelis, Henri Bollaert
Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial Lecture - Extended Abstract). FedCSIS (2023)
Oliver Urs Lenz, Chris Cornelis
Classifying token frequencies using angular Minkowski p-distance. CoRR (2023)
Oliver Urs Lenz, Chris Cornelis
Classifying Token Frequencies Using Angular Minkowski p-Distance. IJCRS (2023)
Nicolás Madrid, Chris Cornelis
Kitainik axioms do not characterize the class of inclusion measures based on contrapositive fuzzy implications. Fuzzy Sets Syst. 456 (2023)
Oliver Urs Lenz, Henri Bollaert, Chris Cornelis
A unified weighting framework for evaluating nearest neighbour classification. CoRR (2023)
Adnan Theerens, Chris Cornelis
Fuzzy rough sets based on fuzzy quantification. Fuzzy Sets Syst. 473 (2023)
Adnan Theerens, Chris Cornelis
On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets. CoRR (2023)
JingTao Yao, Chris Cornelis, Guoyin Wang, Yiyu Yao
Uncertainty and three-way decision in data science. Int. J. Approx. Reason. 162 (2023)
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
Choquet-based fuzzy rough sets. Int. J. Approx. Reason. 146 (2022)
Adnan Theerens, Chris Cornelis
Fuzzy Rough Sets Based on Fuzzy Quantification. CoRR (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Optimised one-class classification performance. Mach. Learn. 111 (8) (2022)
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
Choquet-Based Fuzzy Rough Sets. CoRR (2022)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Fuzzy granular approximation classifier. CoRR (2022)
Oliver Urs Lenz, Chris Cornelis, Daniel Peralta
Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification. FUZZ-IEEE (2022)
Adnan Theerens, Chris Cornelis
Fuzzy Quantifier-Based Fuzzy Rough Sets. FedCSIS (2022)
Chris Cornelis
Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities. FedCSIS (2022)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Granular representation of OWA-based fuzzy rough sets. Fuzzy Sets Syst. 440 (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Representing missing values through polar encoding. CoRR (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
No imputation without representation. CoRR (2022)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. CoRR (2022)
Henri Bollaert, Chris Cornelis
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm. CoRR (2022)
Olha Kaminska, Chris Cornelis, Véronique Hoste
LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection. SemEval@NAACL (2022)
Mauricio Restrepo, Chris Cornelis
Attribute Reduction Using Functional Dependency Relations in Rough Set Theory. IJCRS (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Average Localised Proximity: A new data descriptor with good default one-class classification performance. Pattern Recognit. 118 (2021)
Olha Kaminska, Chris Cornelis, Véronique Hoste
Nearest neighbour approaches for Emotion Detection in Tweets. WASSA@EACL (2021)
Olha Kaminska, Chris Cornelis, Véronique Hoste
Nearest neighbour approaches for Emotion Detection in Tweets. CoRR (2021)
Olha Kaminska, Chris Cornelis, Véronique Hoste
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets. IJCRS (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Adapting Fuzzy Rough Sets for Classification with Missing Values. IJCRS (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Optimised one-class classification performance. CoRR (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Average Localised Proximity: a new data descriptor with good default one-class classification performance. CoRR (2021)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation. CoRR (2021)
Olha Kaminska, Chris Cornelis, Véronique Hoste
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets. CoRR (2021)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Fuzzy extensions of the dominance-based rough set approach. Int. J. Approx. Reason. 129 (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Scalable Approximate FRNN-OWA Classification. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. IJCRS (2020)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data. IJCRS (2020)
Mauricio Restrepo, Chris Cornelis
Attribute Reduction from Closure Operators and Matroids in Rough Set Theory. IJCRS (2020)
Mauricio Restrepo, Chris Cornelis
Rough Matroids Based on Dual Approximation Operators. IJCRS (2019)
Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
Weight selection strategies for ordered weighted average based fuzzy rough sets. Inf. Sci. 501 (2019)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. IJCRS (2019)
Lynn D'eer, Chris Cornelis
Decision reducts and bireducts in a covering approximation space and their relationship to set definability. Int. J. Approx. Reason. 109 (2019)
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators. EUSFLAT Conf. (2019)
Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. Knowl. Inf. Syst. 56 (1) (2018)
Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys
Multi-label classification using a fuzzy rough neighborhood consensus. Inf. Sci. (2018)
Lynn D'eer, Chris Cornelis
A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships. Fuzzy Sets Syst. 336 (2018)
Lynn D'eer, Chris Cornelis, Lluís Godo
Fuzzy neighborhood operators based on fuzzy coverings. Fuzzy Sets Syst. 312 (2017)
Lynn D'eer, Chris Cornelis
Notes on covering-based rough sets from topological point of view: Relationships with general framework of dual approximation operators. Int. J. Approx. Reason. 88 (2017)
Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing 216 (2016)
Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Eng. Appl. Artif. Intell. 48 (2016)
Lynn D'eer, Chris Cornelis, Yiyu Yao
A Semantical Approach to Rough Sets and Dominance-Based Rough Sets. IPMU (2) (2016)
Nele Verbiest, Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis. Appl. Soft Comput. 38 (2016)
Lynn D'eer, Chris Cornelis, Yiyu Yao
A semantically sound approach to Pawlak rough sets and covering-based rough sets. Int. J. Approx. Reason. 78 (2016)
Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. Appl. Soft Comput. 44 (2016)
Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
Fuzzy rough sets for self-labelling: An exploratory analysis. FUZZ-IEEE (2016)
Lynn D'eer, Mauricio Restrepo, Chris Cornelis, Jonatan Gómez
Neighborhood operators for covering-based rough sets. Inf. Sci. 336 (2016)
Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
Fuzzy Multi-Instance Classifiers. IEEE Trans. Fuzzy Syst. 24 (6) (2016)
Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognit. 53 (2016)
Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
Evolutionary undersampling for imbalanced big data classification. CEC (2015)
Sarah Vluymans, Lynn D'eer, Yvan Saeys, Chris Cornelis
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey. Fundam. Informaticae 142 (1-4) (2015)
Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
Semi-Supervised Fuzzy-Rough Feature Selection. RSFDGrC (2015)
Lynn D'eer, Nele Verbiest, Chris Cornelis, Lluís Godo
A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis. Fuzzy Sets Syst. 275 (2015)
Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23 (5) (2015)
Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
Distributed fuzzy rough prototype selection for Big Data regression. NAFIPS/WConSC (2015)
Lynn D'eer, Chris Cornelis, Daniel Sánchez
Fuzzy Covering based Rough Sets Revisited. IFSA-EUSFLAT (2015)
Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock
Fuzzy Rough Set Prototype Selection for Regression. FUZZ-IEEE (2015)
Lynn D'eer, Chris Cornelis
New Neighborhood Based Rough Sets. RSKT (2015)
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287 (2014)
Hasan Asfoor, Rajagopalan Srinivasan, Gayathri Vasudevan, Nele Verbiest, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
Computing fuzzy rough approximations in large scale information systems. IEEE BigData (2014)
Mauricio Restrepo, Chris Cornelis, Jonatan Gómez
Duality, conjugacy and adjointness of approximation operators in covering-based rough sets. Int. J. Approx. Reason. 55 (1) (2014)
Richard Jensen, Neil Mac Parthaláin, Chris Cornelis
Feature grouping-based fuzzy-rough feature selection. FUZZ-IEEE (2014)
Chris Cornelis, Jesús Medina, Nele Verbiest
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection. Int. J. Approx. Reason. 55 (1) (2014)
Mauricio Restrepo, Chris Cornelis, Jonatan Gómez
Partial order relation for approximation operators in covering based rough sets. Inf. Sci. 284 (2014)
Dánel Sánchez Tarragó, Chris Cornelis, Rafael Bello, Francisco Herrera
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. Knowl. Based Syst. 59 (2014)
Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. Appl. Soft Comput. 22 (2014)
Nele Verbiest, Chris Cornelis, Francisco Herrera
FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognit. 46 (10) (2013)
Patricia Victor, Nele Verbiest, Chris Cornelis, Martine De Cock
Enhancing the trust-based recommendation process with explicit distrust. ACM Trans. Web 7 (2) (2013)
Joaquín Derrac, Nele Verbiest, Salvador García, Chris Cornelis, Francisco Herrera
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection. Soft Comput. 17 (2) (2013)
Nele Verbiest, Chris Cornelis, Richard Jensen
Quality, frequency and similarity based fuzzy nearest neighbor classification. FUZZ-IEEE (2013)
Lynn D'eer, Nele Verbiest, Chris Cornelis, Lluís Godo
Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. RSFDGrC (2013)
Nele Verbiest, Chris Cornelis, Francisco Herrera
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory. RSFDGrC (2013)
Chris Cornelis, Martine De Cock, Glad Deschrijver, Mike Nachtegael, Steven Schockaert
An Excellent Guest Professor at Ghent University. A Tribute to Prof. Dr. Da Ruan (2013)
Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens
Using semi-structured data for assessing research paper similarity. Inf. Sci. 221 (2013)
Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection. Inf. Sci. 186 (1) (2012)
Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. IBERAMIA (2012)
Nele Verbiest, Chris Cornelis, Richard Jensen
Fuzzy rough positive region based nearest neighbour classification. FUZZ-IEEE (2012)
Dieter Mourisse, Els Lefever, Nele Verbiest, Yvan Saeys, Martine De Cock, Chris Cornelis
SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation. TSD (2012)
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
The standard completeness of interval-valued monoidal t-norm based logic. Inf. Sci. 189 (2012)
Nele Verbiest, Chris Cornelis, Patricia Victor, Enrique Herrera-Viedma
Trust and distrust aggregation enhanced with path length incorporation. Fuzzy Sets Syst. 202 (2012)
Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens
Finding Similar Research Papers using Language Models. SPIM (2011)
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
Trust- and Distrust-Based Recommendations for Controversial Reviews. IEEE Intell. Syst. 26 (1) (2011)
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chris Cornelis, Martine De Cock
Modelling gene and protein regulatory networks with Answer Set Programming. Int. J. Data Min. Bioinform. 5 (2) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chris Cornelis