Chris Cornelis

193 papers A 1B 15C 7Misc 2Journal 100Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
Feature subset weighting for distance-based supervised learning.
Pattern Recognit.
Adnan Theerens, Yvan Saeys, Chris Cornelis
2026 J jnl
Granular structures of covering-based rough set approximations through the Mapper algorithm.
Int. J. Approx. Reason.
Wannes De Maeyer, Mauricio Restrepo, Chris Cornelis
2025 J jnl
A unified weighting framework for evaluating nearest neighbour classification.
Fuzzy Sets Syst.
Oliver Urs Lenz, Henri Bollaert, Chris Cornelis
2025 C conf
Estimating the entropy of covering-based rough set approximation operators.
FedCSIS
Wannes De Maeyer, Steven Van Overberghe, Chris Cornelis, Mauricio Restrepo López
2025 J jnl
FRRI: A novel algorithm for fuzzy-rough rule induction.
Inf. Sci.
Henri Bollaert, Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2025 J jnl
Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration.
CoRR
Adnan Theerens, Yvan Saeys, Chris Cornelis
2025 J jnl
Optimising the attribute order in Fuzzy Rough Rule Induction.
CoRR
Henri Bollaert, Chris Cornelis, Marko Palangetic, Salvatore Greco, Roman Slowinski
2025 J jnl
Rational linear kernelized weighted fuzzy rough attribute selection with class separability.
Fuzzy Sets Syst.
Yue Yang, Jihong Wan, Xiaoping Li, Xiaoling Yang, Hongmei Chen, Kay Chen Tan, Chris Cornelis
2025 — ed.
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part I
IJCRS (1)
Qinghua Zhang, Christopher J. Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia
2025 — ed.
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part II
IJCRS (2)
Qinghua Zhang, Christopher J. Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia
2025 — ed.
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part III
IJCRS (3)
Qinghua Zhang, Christopher J. Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia
2024 J jnl
An Exploration of Ideals and Filters in Triangle Algebras.
Axioms
Euclide Noumen, Fabrice Tchoua Yinga, Blaise Blériot Koguep Njionou, Chris Cornelis
2024 J jnl
FRRI: a novel algorithm for fuzzy-rough rule induction.
CoRR
Henri Bollaert, Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2024 J jnl
Fuzzy Rough Choquet Distances for Classification.
CoRR
Adnan Theerens, Chris Cornelis
2024 B conf
Fuzzy Rough Choquet Distances.
MDAI
Adnan Theerens, Chris Cornelis
2024 — conf
Mapper-Based Rough Sets.
IJCRS (1)
Mauricio Restrepo, Chris Cornelis
2024 J jnl
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules.
Fuzzy Sets Syst.
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2024 J jnl
On the granular representation of fuzzy quantifier-based fuzzy rough sets.
Inf. Sci.
Adnan Theerens, Chris Cornelis
2024 — conf
Optimising the Attribute Order in Fuzzy Rough Rule Induction.
IJCRS (1)
Henri Bollaert, Chris Cornelis, Marko Palangetic, Salvatore Greco, Roman Slowinski
2024 J jnl
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values.
IEEE Trans. Fuzzy Syst.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2024 — ed.
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I
IJCRS (1)
Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao
2024 — ed.
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II
IJCRS (2)
Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao
2023 J jnl
A unified weighting framework for evaluating nearest neighbour classification.
CoRR
Oliver Urs Lenz, Henri Bollaert, Chris Cornelis
2023 — conf
Classifying Token Frequencies Using Angular Minkowski p-Distance.
IJCRS
Oliver Urs Lenz, Chris Cornelis
2023 J jnl
Classifying token frequencies using angular Minkowski p-distance.
CoRR
Oliver Urs Lenz, Chris Cornelis
2023 C conf
Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial Lecture - Extended Abstract).
FedCSIS
Chris Cornelis, Henri Bollaert
2023 J jnl
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony.
Inf. Sci.
Olha Kaminska, Chris Cornelis, Véronique Hoste
2023 J jnl
Fuzzy rough sets based on fuzzy quantification.
Fuzzy Sets Syst.
Adnan Theerens, Chris Cornelis
2023 J jnl
Granular approximations: A novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation.
Inf. Sci.
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2023 J jnl
Kitainik axioms do not characterize the class of inclusion measures based on contrapositive fuzzy implications.
Fuzzy Sets Syst.
Nicolás Madrid, Chris Cornelis
2023 — conf
No Imputation Without Representation.
BNAIC/BENELEARN
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2023 J jnl
On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets.
CoRR
Adnan Theerens, Chris Cornelis
2023 J jnl
Uncertainty and three-way decision in data science.
Int. J. Approx. Reason.
JingTao Yao, Chris Cornelis, Guoyin Wang, Yiyu Yao
2022 J jnl
Choquet-Based Fuzzy Rough Sets.
CoRR
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
2022 J jnl
Choquet-based fuzzy rough sets.
Int. J. Approx. Reason.
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
2022 J jnl
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm.
CoRR
Henri Bollaert, Chris Cornelis
2022 C conf
Fuzzy Quantifier-Based Fuzzy Rough Sets.
FedCSIS
Adnan Theerens, Chris Cornelis
2022 J jnl
Fuzzy Rough Sets Based on Fuzzy Quantification.
CoRR
Adnan Theerens, Chris Cornelis
2022 J jnl
Fuzzy granular approximation classifier.
CoRR
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2022 B conf
Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification.
FUZZ-IEEE
Oliver Urs Lenz, Chris Cornelis, Daniel Peralta
2022 J jnl
Granular representation of OWA-based fuzzy rough sets.
Fuzzy Sets Syst.
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2022 C conf
Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities.
FedCSIS
Chris Cornelis
2022 — conf
LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection.
SemEval@NAACL
Olha Kaminska, Chris Cornelis, Véronique Hoste
2022 J jnl
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules.
CoRR
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2022 J jnl
No imputation without representation.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2022 J jnl
Optimised one-class classification performance.
Mach. Learn.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2022 J jnl
Representing missing values through polar encoding.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation.
CoRR
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2021 — conf
Adapting Fuzzy Rough Sets for Classification with Missing Values.
IJCRS
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 — conf
Attribute Reduction Using Functional Dependency Relations in Rough Set Theory.
IJCRS
Mauricio Restrepo, Chris Cornelis
2021 J jnl
Average Localised Proximity: A new data descriptor with good default one-class classification performance.
Pattern Recognit.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
Average Localised Proximity: a new data descriptor with good default one-class classification performance.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
Fuzzy extensions of the dominance-based rough set approach.
Int. J. Approx. Reason.
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2021 — conf
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets.
IJCRS
Olha Kaminska, Chris Cornelis, Véronique Hoste
2021 J jnl
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets.
CoRR
Olha Kaminska, Chris Cornelis, Véronique Hoste
2021 — conf
Nearest neighbour approaches for Emotion Detection in Tweets.
WASSA@EACL
Olha Kaminska, Chris Cornelis, Véronique Hoste
2021 J jnl
Nearest neighbour approaches for Emotion Detection in Tweets.
CoRR
Olha Kaminska, Chris Cornelis, Véronique Hoste
2021 J jnl
Optimised one-class classification performance.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 — ed.
Rough Sets - International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021, Proceedings
IJCRS
Sheela Ramanna, Chris Cornelis, Davide Ciucci
2020 — conf
Attribute Reduction from Closure Operators and Matroids in Rough Set Theory.
IJCRS
Mauricio Restrepo, Chris Cornelis
2020 — conf
Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data.
IJCRS
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2020 J jnl
Scalable Approximate FRNN-OWA Classification.
IEEE Trans. Fuzzy Syst.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2020 — conf
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets.
IJCRS
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2019 — conf
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators.
IJCRS
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2019 J jnl
Decision reducts and bireducts in a covering approximation space and their relationship to set definability.
Int. J. Approx. Reason.
Lynn D'eer, Chris Cornelis
2019 — conf
Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators.
EUSFLAT Conf.
Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski
2019 — conf
Rough Matroids Based on Dual Approximation Operators.
IJCRS
Mauricio Restrepo, Chris Cornelis
2019 J jnl
Weight selection strategies for ordered weighted average based fuzzy rough sets.
Inf. Sci.
Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
2018 J jnl
A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships.
Fuzzy Sets Syst.
Lynn D'eer, Chris Cornelis
2018 J jnl
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.
Knowl. Inf. Syst.
Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera
2018 J jnl
Multi-label classification using a fuzzy rough neighborhood consensus.
Inf. Sci.
Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys
2017 J jnl
Fuzzy neighborhood operators based on fuzzy coverings.
Fuzzy Sets Syst.
Lynn D'eer, Chris Cornelis, Lluís Godo
2017 J jnl
Notes on covering-based rough sets from topological point of view: Relationships with general framework of dual approximation operators.
Int. J. Approx. Reason.
Lynn D'eer, Chris Cornelis
2016 — conf
A Semantical Approach to Rough Sets and Dominance-Based Rough Sets.
IPMU (2)
Lynn D'eer, Chris Cornelis, Yiyu Yao
2016 J jnl
A semantically sound approach to Pawlak rough sets and covering-based rough sets.
Int. J. Approx. Reason.
Lynn D'eer, Chris Cornelis, Yiyu Yao
2016 J jnl
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.
Neurocomputing
Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys
2016 J jnl
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis.
Appl. Soft Comput.
Nele Verbiest, Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
2016 J jnl
Fuzzy Multi-Instance Classifiers.
IEEE Trans. Fuzzy Syst.
Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
2016 J jnl
Fuzzy rough classifiers for class imbalanced multi-instance data.
Pattern Recognit.
Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera
2016 B conf
Fuzzy rough sets for self-labelling: An exploratory analysis.
FUZZ-IEEE
Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
2016 J jnl
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.
Eng. Appl. Artif. Intell.
Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera
2016 J jnl
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets.
Appl. Soft Comput.
Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys
2016 — book
Multiple Instance Learning - Foundations and Algorithms
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans
2016 J jnl
Neighborhood operators for covering-based rough sets.
Inf. Sci.
Lynn D'eer, Mauricio Restrepo, Chris Cornelis, Jonatan Gómez
2015 J jnl
A comprehensive study of implicator-conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis.
Fuzzy Sets Syst.
Lynn D'eer, Nele Verbiest, Chris Cornelis, Lluís Godo
2015 J jnl
Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey.
Fundam. Informaticae
Sarah Vluymans, Lynn D'eer, Yvan Saeys, Chris Cornelis
2015 — conf
Distributed fuzzy rough prototype selection for Big Data regression.
NAFIPS/WConSC
Sarah Vluymans, Hasan Asfoor, Yvan Saeys, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
2015 B conf
Evolutionary undersampling for imbalanced big data classification.
CEC
Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
2015 — conf
Fuzzy Covering based Rough Sets Revisited.
IFSA-EUSFLAT
Lynn D'eer, Chris Cornelis, Daniel Sánchez
2015 B conf
Fuzzy Rough Set Prototype Selection for Regression.
FUZZ-IEEE
Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock
2015 — ch.
Fuzzy-Rough Hybridization.
Handbook of Computational Intelligence
Masahiro Inuiguchi, Wei-Zhi Wu, Chris Cornelis, Nele Verbiest
2015 J jnl
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.
IEEE Trans. Fuzzy Syst.
Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera
2015 — conf
New Neighborhood Based Rough Sets.
RSKT
Lynn D'eer, Chris Cornelis
2015 — conf
Semi-Supervised Fuzzy-Rough Feature Selection.
RSFDGrC
Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys
2014 J jnl
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation.
Knowl. Based Syst.
Dánel Sánchez Tarragó, Chris Cornelis, Rafael Bello, Francisco Herrera
2014 — conf
Computing fuzzy rough approximations in large scale information systems.
IEEE BigData
Hasan Asfoor, Rajagopalan Srinivasan, Gayathri Vasudevan, Nele Verbiest, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
2014 J jnl
Duality, conjugacy and adjointness of approximation operators in covering-based rough sets.
Int. J. Approx. Reason.
Mauricio Restrepo, Chris Cornelis, Jonatan Gómez
2014 B conf
Feature grouping-based fuzzy-rough feature selection.
FUZZ-IEEE
Richard Jensen, Neil Mac Parthaláin, Chris Cornelis
2014 J jnl
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".
Inf. Sci.
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
2014 J jnl
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection.
Int. J. Approx. Reason.
Chris Cornelis, Jesús Medina, Nele Verbiest
2014 J jnl
Partial order relation for approximation operators in covering based rough sets.
Inf. Sci.
Mauricio Restrepo, Chris Cornelis, Jonatan Gómez
2014 J jnl
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection.
Appl. Soft Comput.
Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera
2014 — ed.
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings
RSCTC
Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang
2014 — ed.
Rough Sets and Intelligent Systems Paradigms - Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings
RSEISP
Marzena Kryszkiewicz, Chris Cornelis, Davide Ciucci, Jesús Medina-Moreno, Hiroshi Motoda, Zbigniew W. Ras
2013 — conf
An Excellent Guest Professor at Ghent University.
A Tribute to Prof. Dr. Da Ruan
Chris Cornelis, Martine De Cock, Glad Deschrijver, Mike Nachtegael, Steven Schockaert
2013 J jnl
Enhancing the trust-based recommendation process with explicit distrust.
ACM Trans. Web
Patricia Victor, Nele Verbiest, Chris Cornelis, Martine De Cock
2013 J jnl
FRPS: A Fuzzy Rough Prototype Selection method.
Pattern Recognit.
Nele Verbiest, Chris Cornelis, Francisco Herrera
2013 — conf
Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties.
RSFDGrC
Lynn D'eer, Nele Verbiest, Chris Cornelis, Lluís Godo
2013 — conf
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory.
RSFDGrC
Nele Verbiest, Chris Cornelis, Francisco Herrera
2013 J jnl
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection.
Soft Comput.
Joaquín Derrac, Nele Verbiest, Salvador García, Chris Cornelis, Francisco Herrera
2013 B conf
Quality, frequency and similarity based fuzzy nearest neighbor classification.
FUZZ-IEEE
Nele Verbiest, Chris Cornelis, Richard Jensen
2013 — ed.
Rough Sets and Knowledge Technology - 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings
RSKT
Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski
2013 J jnl
Using semi-structured data for assessing research paper similarity.
Inf. Sci.
Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens
2012 J jnl
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection.
Inf. Sci.
Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
2012 B conf
Fuzzy rough positive region based nearest neighbour classification.
FUZZ-IEEE
Nele Verbiest, Chris Cornelis, Richard Jensen
2012 — conf
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data.
IBERAMIA
Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera
2012 — conf
SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation.
TSD
Dieter Mourisse, Els Lefever, Nele Verbiest, Yvan Saeys, Martine De Cock, Chris Cornelis
2012 J jnl
The standard completeness of interval-valued monoidal t-norm based logic.
Inf. Sci.
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2012 J jnl
Trust and distrust aggregation enhanced with path length incorporation.
Fuzzy Sets Syst.
Nele Verbiest, Chris Cornelis, Patricia Victor, Enrique Herrera-Viedma
2011 — book
35 Years of Fuzzy Set Theory - Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre
Chris Cornelis, Glad Deschrijver, Mike Nachtegael, Steven Schockaert, Yun Shi
2011 — conf
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms.
IWANN (1)
Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
2011 — conf
Finding Similar Research Papers using Language Models.
SPIM
Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens
2011 J jnl
Fuzzy-Rough Nearest Neighbour Classification.
Trans. Rough Sets
Richard Jensen, Chris Cornelis
2011 J jnl
Fuzzy-rough nearest neighbour classification and prediction.
Theor. Comput. Sci.
Richard Jensen, Chris Cornelis
2011 — ch.
Interval-Valued Algebras and Fuzzy Logics.
35 Years of Fuzzy Set Theory
Bart Van Gasse, Chris Cornelis, Glad Deschrijver
2011 J jnl
Modelling gene and protein regulatory networks with Answer Set Programming.
Int. J. Data Min. Bioinform.
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chris Cornelis, Martine De Cock
2011 J jnl
Practical aggregation operators for gradual trust and distrust.
Fuzzy Sets Syst.
Patricia Victor, Chris Cornelis, Martine De Cock, Enrique Herrera-Viedma
2011 — ch.
Trust and Recommendations.
Recommender Systems Handbook
Patricia Victor, Martine De Cock, Chris Cornelis
2011 J jnl
Trust- and Distrust-Based Recommendations for Controversial Reviews.
IEEE Intell. Syst.
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
2010 J jnl
Attribute selection with fuzzy decision reducts.
Inf. Sci.
Chris Cornelis, Richard Jensen, Germán Hurtado Martín, Dominik Slezak
2010 — conf
Efficient Solving of Time-dependent Answer Set Programs.
ICLP (Technical Communications)
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chris Cornelis, Martine De Cock
2010 — conf
Extending boolean regulatory network models with answer set programming.
BIBM Workshops
Timur Fayruzov, Jeroen Janssen, Chris Cornelis, Dirk Vermeir, Martine De Cock
2010 J jnl
Filters of residuated lattices and triangle algebras.
Inf. Sci.
Bart Van Gasse, Glad Deschrijver, Chris Cornelis, Etienne E. Kerre
2010 B conf
Fuzzy-rough instance selection.
FUZZ-IEEE
Richard Jensen, Chris Cornelis
2010 — conf
Metadata Impact on Research Paper Similarity.
ECDL
Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens
2010 — conf
Ordered Weighted Average Based Fuzzy Rough Sets.
RSKT
Chris Cornelis, Nele Verbiest, Richard Jensen
2010 — conf
Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation.
IEA/AIE (3)
Nele Verbiest, Chris Cornelis, Patricia Victor, Enrique Herrera-Viedma
2009 A conf
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items.
ICWSM
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
2009 C conf
Exploiting Properties of Legislative Texts to Improve Classification Accuracy.
JURIX
Rob Opsomer, Geert De Meyer, Chris Cornelis, Greet Van Eetvelde
2009 J jnl
Gradual trust and distrust in recommender systems.
Fuzzy Sets Syst.
Patricia Victor, Chris Cornelis, Martine De Cock, Paulo Pinheiro da Silva
2009 B conf
Hybrid fuzzy-rough rule induction and feature selection.
FUZZ-IEEE
Richard Jensen, Chris Cornelis, Qiang Shen
2009 J jnl
Linguistic feature analysis for protein interaction extraction.
BMC Bioinform.
Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste
2009 — conf
Modeling Protein Interaction Networks with Answer Set Programming.
BIBM
Timur Fayruzov, Martine De Cock, Chris Cornelis, Dirk Vermeir
2009 J jnl
The pseudo-linear semantics of interval-valued fuzzy logics.
Inf. Sci.
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2009 — conf
Training a Personal Alert System for Research Information Recommendation.
IFSA/EUSFLAT Conf.
Germán Hurtado Martín, Chris Cornelis, Helga Naessens
2009 — conf
Valued Constraint Satisfaction Problems Applied to Functional Harmony.
IFSA/EUSFLAT Conf.
Nele Verbiest, Chris Cornelis, Yvan Saeys
2008 — conf
A New Approach to Fuzzy-Rough Nearest Neighbour Classification.
RSCTC
Richard Jensen, Chris Cornelis
2008 J jnl
A characterization of interval-valued residuated lattices.
Int. J. Approx. Reason.
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2008 B conf
A noise-tolerant approach to fuzzy-rough feature selection.
FUZZ-IEEE
Chris Cornelis, Richard Jensen
2008 — conf
DEEPER: A Full Parsing Based Approach to Protein Relation Extraction.
EvoBIO
Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste
2008 — conf
Feature Selection with Fuzzy Decision Reducts.
RSKT
Chris Cornelis, Germán Hurtado Martín, Richard Jensen, Dominik Slezak
2008 J jnl
Fuzzy region connection calculus: An interpretation based on closeness.
Int. J. Approx. Reason.
Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre
2008 J jnl
Fuzzy region connection calculus: Representing vague topological information.
Int. J. Approx. Reason.
Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre
2008 J jnl
Key figure impact in trust-enhanced recommender systems.
AI Commun.
Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai
2008 — conf
The role of syntactic features in protein interaction extraction.
DTMBIO
Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste
2008 J jnl
Triangle algebras: A formal logic approach to interval-valued residuated lattices.
Fuzzy Sets Syst.
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2008 Misc conf
Whom should I trust?: the impact of key figures on cold start recommendations.
SAC
Patricia Victor, Chris Cornelis, Ankur Teredesai, Martine De Cock
2007 J jnl
A Bilattice-Based Framework for Handling Graded Truth and Imprecision.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Glad Deschrijver, Ofer Arieli, Chris Cornelis, Etienne E. Kerre
2007 — conf
A Fuzzy Formal Logic for Interval-valued Residuated Lattices.
EUSFLAT Conf. (2)
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2007 J jnl
Clustering web search results using fuzzy ants.
Int. J. Intell. Syst.
Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre
2007 J jnl
Fuzzy Rough Sets: The Forgotten Step.
IEEE Trans. Fuzzy Syst.
Martine De Cock, Chris Cornelis, Etienne E. Kerre
2007 J jnl
One-and-only item recommendation with fuzzy logic techniques.
Inf. Sci.
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhang
2007 J jnl
Representability in Interval-Valued Fuzzy Set Theory.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Glad Deschrijver, Chris Cornelis
2007 J jnl
Uncertainty Modeling by Bilattice-Based Squares and Triangles.
IEEE Trans. Fuzzy Syst.
Chris Cornelis, Ofer Arieli, Glad Deschrijver, Etienne E. Kerre
2007 — conf
Vaguely Quantified Rough Sets.
RSFDGrC
Chris Cornelis, Martine De Cock, Anna Maria Radzikowska
2006 J jnl
Advances and challenges in interval-valued fuzzy logic.
Fuzzy Sets Syst.
Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2006 — conf
Enhanced Recommendations through Propagation of Trust and Distrust.
IAT Workshops
Patricia Victor, Chris Cornelis, Martine De Cock
2006 B conf
Preference Modeling by Rectangular Bilattices.
MDAI
Ofer Arieli, Chris Cornelis, Glad Deschrijver
2006 — conf
Reflections on Modelling Vagueness in Description Logics.
URSW
Steven Schockaert, Patricia Victor, Geert-Jan Houben, Chris Cornelis, Martine De Cock, Etienne E. Kerre
2006 — conf
Towards a Provenance-Preserving Trust Model in Agent Networks.
MTW
Patricia Victor, Chris Cornelis, Martine De Cock, Paulo Pinheiro da Silva
2006 — conf
Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices.
RSCTC
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2005 — conf
A Fuzzy Relational Approach to Event Recommendation.
IICAI
Chris Cornelis, Xuetao Guo, Jie Lu, Guanquang Zhang
2005 — ch.
Association Rule Based Specialization in ER Models.
Intelligent Data Mining
Martine De Cock, Chris Cornelis, Ming Ren, Guoqing Chen, Etienne E. Kerre
2005 C conf
Bilattice-Based Squares and Triangles.
ECSQARU
Ofer Arieli, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2005 J jnl
Elicitation of fuzzy association rules from positive and negative examples.
Fuzzy Sets Syst.
Martine De Cock, Chris Cornelis, Etienne E. Kerre
2005 — ch.
Intuitionistic Fuzzy Relational Images.
Computational Intelligence for Modelling and Prediction
Martine De Cock, Chris Cornelis, Etienne E. Kerre
2005 J jnl
Relatedness of fuzzy sets.
J. Intell. Fuzzy Syst.
Steven Schockaert, Martine De Cock, Chris Cornelis
2005 J jnl
Special issue dedicated to the 60th birthday of Etienne E. Kerre.
J. Intell. Fuzzy Syst.
Chris Cornelis, Martine De Cock
2004 B conf
Efficient Approximate Reasoning with Positive and Negative Information.
KES
Chris Cornelis, Martine De Cock, Etienne E. Kerre
2004 — conf
Fuzzy Ant Based Clustering.
ANTS Workshop
Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre
2004 B conf
Fuzzy rough sets: beyond the obvious.
FUZZ-IEEE
Martine De Cock, Chris Cornelis, Etienne E. Kerre
2004 J jnl
Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application.
Int. J. Approx. Reason.
Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2004 B conf
Mining Positive and Negative Fuzzy Association Rules.
KES
Peng Yan, Guoqing Chen, Chris Cornelis, Martine De Cock, Etienne E. Kerre
2004 J jnl
On the representation of intuitionistic fuzzy t-norms and t-conorms.
IEEE Trans. Fuzzy Syst.
Glad Deschrijver, Chris Cornelis, Etienne E. Kerre
2004 J jnl
Shortest paths in fuzzy weighted graphs.
Int. J. Intell. Syst.
Chris Cornelis, Peter De Kesel, Etienne E. Kerre
2003 C conf
Inclusion Measures in Intuitionistic Fuzzy Set Theory.
ECSQARU
Chris Cornelis, Etienne E. Kerre
2003 J jnl
Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge.
Expert Syst. J. Knowl. Eng.
Chris Cornelis, Martine De Cock, Etienne E. Kerre
2003 — conf
Intuitionistic fuzzy sets and interval-valued fuzzy sets: a critical comparison.
EUSFLAT Conf.
Chris Cornelis, Krassimir T. Atanassov, Etienne E. Kerre
2003 J jnl
Sinha-Dougherty approach to the fuzzification of set inclusion revisited.
Fuzzy Sets Syst.
Chris Cornelis, Carol Van der Donck, Etienne E. Kerre
2002 — conf
Classification Of Intuitionistic Fuzzy Implicators: An Algebraic Approach.
JCIS
Chris Cornelis, Glad Deschrijver, Etienne E. Kerre
2002 — conf
Linguistic Hedges in an Intuitionistic Fuzzy Setting.
FSKD
Chris Cornelis, Martine De Cock, Etienne E. Kerre
2002 — conf
Survey of the Research On Intuitionistic Fuzzy Sets.
JCIS
Mariana Nikolova, Nikolai Nikolov, Chris Cornelis, Glad Deschrijver
2001 Misc conf
Inclusion-Based Approximate Reasoning.
International Conference on Computational Science (2)
Chris Cornelis, Etienne E. Kerre