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Chris Cornelis

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affiliation: Ghent University, Belgium

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2020 – today

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2025
[j77]
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Henri Bollaert, Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
FRRI: A novel algorithm for fuzzy-rough rule induction. Inf. Sci. 686: 121362 (2025)
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Qinghua Zhang, Christopher J. Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia:
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15708, Springer 2025, ISBN 978-3-031-92746-1 [contents]
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Qinghua Zhang, Christopher J. Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia:
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15709, Springer 2025, ISBN 978-3-031-92743-0 [contents]
[e8]
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Qinghua Zhang, Christopher J. Henry, Richard Jensen, Xinbo Gao, Guoyin Wang, JingTao Yao, Chris Cornelis, Shuyin Xia:
Rough Sets - International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part III. Lecture Notes in Computer Science 15710, Springer 2025, ISBN 978-3-031-92740-9 [contents]
[i18]
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  - journals/corr/abs-2504-00624
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Adnan Theerens, Yvan Saeys, Chris Cornelis:
Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration. CoRR abs/2504.00624 (2025)
2024
[j76]
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  - journals/axioms/NoumenYNC24
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Euclide Noumen, Fabrice Tchoua Yinga, Blaise Blériot Koguep Njionou, Chris Cornelis:
An Exploration of Ideals and Filters in Triangle Algebras. Axioms 13(8): 566 (2024)
[j75]
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. Fuzzy Sets Syst. 478: 108765 (2024)
[j74]
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Adnan Theerens, Chris Cornelis:
On the granular representation of fuzzy quantifier-based fuzzy rough sets. Inf. Sci. 665: 120385 (2024)
[j73]
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. IEEE Trans. Fuzzy Syst. 32(5): 3084-3093 (2024)
[c76]
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Adnan Theerens, Chris Cornelis:
Fuzzy Rough Choquet Distances. MDAI 2024: 31-43
[c75]
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Mauricio Restrepo, Chris Cornelis:
Mapper-Based Rough Sets. IJCRS (1) 2024: 3-17
[c74]
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  - conf/rskt/BollaertCPGS24
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Henri Bollaert, Chris Cornelis, Marko Palangetic, Salvatore Greco, Roman Slowinski:
Optimising the Attribute Order in Fuzzy Rough Rule Induction. IJCRS (1) 2024: 254-268
[e7]
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Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao:
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14839, Springer 2024, ISBN 978-3-031-65664-4 [contents]
[e6]
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Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Slezak, JingTao Yao:
Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14840, Springer 2024, ISBN 978-3-031-65667-5 [contents]
[i17]
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  - journals/corr/abs-2403-04447
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Henri Bollaert, Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
FRRI: a novel algorithm for fuzzy-rough rule induction. CoRR abs/2403.04447 (2024)
[i16]
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  - journals/corr/abs-2403-11843
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Adnan Theerens, Chris Cornelis:
Fuzzy Rough Choquet Distances for Classification. CoRR abs/2403.11843 (2024)
2023
[j72]
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  - journals/fss/MadridC23
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Nicolás Madrid, Chris Cornelis:
Kitainik axioms do not characterize the class of inclusion measures based on contrapositive fuzzy implications. Fuzzy Sets Syst. 456: 208-214 (2023)
[j71]
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Adnan Theerens, Chris Cornelis:
Fuzzy rough sets based on fuzzy quantification. Fuzzy Sets Syst. 473: 108704 (2023)
[j70]
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  - journals/ijar/YaoCWY23
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JingTao Yao, Chris Cornelis, Guoyin Wang, Yiyu Yao:
Uncertainty and three-way decision in data science. Int. J. Approx. Reason. 162: 109024 (2023)
[j69]
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  - journals/isci/KaminskaCH23
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Olha Kaminska, Chris Cornelis, Véronique Hoste:
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony. Inf. Sci. 625: 521-535 (2023)
[j68]
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  - journals/isci/PalangeticCGS23
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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: 249-275 (2023)
[c73]
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  - conf/bnaic/LenzPC23
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
No Imputation Without Representation. BNAIC/BENELEARN 2023: 1-21
[c72]
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  - conf/fedcsis/CornelisB23
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Chris Cornelis, Henri Bollaert:
Combination of Fuzzy Sets and Rough Sets for Machine Learning Purposes (Tutorial Lecture - Extended Abstract). FedCSIS 2023: 67
[c71]
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Oliver Urs Lenz, Chris Cornelis:
Classifying Token Frequencies Using Angular Minkowski p-Distance. IJCRS 2023: 402-413
[i15]
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  - journals/corr/abs-2309-14495
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Oliver Urs Lenz, Chris Cornelis:
Classifying token frequencies using angular Minkowski p-distance. CoRR abs/2309.14495 (2023)
[i14]
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  - journals/corr/abs-2311-16872
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Oliver Urs Lenz, Henri Bollaert, Chris Cornelis:
A unified weighting framework for evaluating nearest neighbour classification. CoRR abs/2311.16872 (2023)
[i13]
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  - journals/corr/abs-2312-16704
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Adnan Theerens, Chris Cornelis:
On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets. CoRR abs/2312.16704 (2023)
2022
[j67]
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  - journals/fss/PalangeticCGS22
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Granular representation of OWA-based fuzzy rough sets. Fuzzy Sets Syst. 440: 112-130 (2022)
[j66]
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  - journals/ijar/TheerensLC22
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Adnan Theerens, Oliver Urs Lenz, Chris Cornelis:
Choquet-based fuzzy rough sets. Int. J. Approx. Reason. 146: 62-78 (2022)
[j65]
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  - journals/ml/LenzPC22
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Optimised one-class classification performance. Mach. Learn. 111(8): 2863-2883 (2022)
[c70]
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  - conf/fedcsis/Cornelis22
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Chris Cornelis:
Hybridization of Fuzzy Sets and Rough Sets: Achievements and Opportunities. FedCSIS 2022: 7-14
[c69]
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Adnan Theerens, Chris Cornelis:
Fuzzy Quantifier-Based Fuzzy Rough Sets. FedCSIS 2022: 269-278
[c68]
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  - conf/fuzzIEEE/LenzCP22
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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: 1-8
[c67]
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  - conf/semeval/KaminskaCH22
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Olha Kaminska, Chris Cornelis, Véronique Hoste:
LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest Neighbor Classification for Sarcasm Detection. SemEval@NAACL 2022: 987-992
[i12]
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  - journals/corr/abs-2202-07584
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. CoRR abs/2202.07584 (2022)
[i11]
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  - journals/corr/abs-2202-10872
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Adnan Theerens, Oliver Urs Lenz, Chris Cornelis:
Choquet-Based Fuzzy Rough Sets. CoRR abs/2202.10872 (2022)
[i10]
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  - journals/corr/abs-2206-01240
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Fuzzy granular approximation classifier. CoRR abs/2206.01240 (2022)
[i9]
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  - journals/corr/abs-2206-14254
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
No imputation without representation. CoRR abs/2206.14254 (2022)
[i8]
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  - journals/corr/abs-2210-01905
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Representing missing values through polar encoding. CoRR abs/2210.01905 (2022)
[i7]
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  - journals/corr/abs-2211-14134
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Henri Bollaert, Chris Cornelis:
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm. CoRR abs/2211.14134 (2022)
[i6]
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  - journals/corr/abs-2212-04327
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Adnan Theerens, Chris Cornelis:
Fuzzy Rough Sets Based on Fuzzy Quantification. CoRR abs/2212.04327 (2022)
2021
[j64]
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  - journals/ijar/PalangeticCGS21
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Fuzzy extensions of the dominance-based rough set approach. Int. J. Approx. Reason. 129: 1-19 (2021)
[j63]
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  - journals/pr/LenzPC21
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Average Localised Proximity: A new data descriptor with good default one-class classification performance. Pattern Recognit. 118: 107991 (2021)
[c66]
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  - conf/rskt/RestrepoC21
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Mauricio Restrepo, Chris Cornelis:
Attribute Reduction Using Functional Dependency Relations in Rough Set Theory. IJCRS 2021: 90-96
[c65]
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Adapting Fuzzy Rough Sets for Classification with Missing Values. IJCRS 2021: 192-200
[c64]
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  - conf/rskt/KaminskaCH21
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Olha Kaminska, Chris Cornelis, Véronique Hoste:
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets. IJCRS 2021: 231-246
[c63]
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Olha Kaminska, Chris Cornelis, Véronique Hoste:
Nearest neighbour approaches for Emotion Detection in Tweets. WASSA@EACL 2021: 203-212
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Sheela Ramanna, Chris Cornelis, Davide Ciucci:
Rough Sets - International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021, Proceedings. Lecture Notes in Computer Science 12872, Springer 2021, ISBN 978-3-030-87333-2 [contents]
[i5]
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  - journals/corr/abs-2101-11037
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Average Localised Proximity: a new data descriptor with good default one-class classification performance. CoRR abs/2101.11037 (2021)
[i4]
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  - journals/corr/abs-2102-02618
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Optimised one-class classification performance. CoRR abs/2102.02618 (2021)
[i3]
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  - journals/corr/abs-2107-05392
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Olha Kaminska, Chris Cornelis, Véronique Hoste:
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets. CoRR abs/2107.05392 (2021)
[i2]
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Olha Kaminska, Chris Cornelis, Véronique Hoste:
Nearest neighbour approaches for Emotion Detection in Tweets. CoRR abs/2107.05394 (2021)
[i1]
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  - journals/corr/abs-2111-13447
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation. CoRR abs/2111.13447 (2021)
2020
[j62]
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Scalable Approximate FRNN-OWA Classification. IEEE Trans. Fuzzy Syst. 28(5): 929-938 (2020)
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  - conf/rskt/PalangeticCGS20
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Marko Palangetic, Chris Cornelis, Salvatore Greco, Roman Slowinski:
Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data. IJCRS 2020: 78-92
[c61]
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Mauricio Restrepo, Chris Cornelis:
Attribute Reduction from Closure Operators and Matroids in Rough Set Theory. IJCRS 2020: 183-192
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. IJCRS 2020: 491-499

2010 – 2019

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2019
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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: 42-54 (2019)
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Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Weight selection strategies for ordered weighted average based fuzzy rough sets. Inf. Sci. 501: 155-171 (2019)
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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
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Mauricio Restrepo, Chris Cornelis:
Rough Matroids Based on Dual Approximation Operators. IJCRS 2019: 118-129
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Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. IJCRS 2019: 197-209
2018
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Lynn D'eer, Chris Cornelis:
A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships. Fuzzy Sets Syst. 336: 1-26 (2018)
[j58]
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Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys:
Multi-label classification using a fuzzy rough neighborhood consensus. Inf. Sci. 433-434: 96-114 (2018)
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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): 55-84 (2018)
2017
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Lynn D'eer, Chris Cornelis, Lluís Godo:
Fuzzy neighborhood operators based on fuzzy coverings. Fuzzy Sets Syst. 312: 17-35 (2017)
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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: 295-305 (2017)
2016
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Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233
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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: 10-22 (2016)
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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: 75-88 (2016)
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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: 134-139 (2016)
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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: 62-72 (2016)
[j50]
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Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys:
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing 216: 596-610 (2016)
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Lynn D'eer, Mauricio Restrepo, Chris Cornelis, Jonatan Gómez:
Neighborhood operators for covering-based rough sets. Inf. Sci. 336: 21-44 (2016)
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Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognit. 53: 36-45 (2016)
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Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy Multi-Instance Classifiers. IEEE Trans. Fuzzy Syst. 24(6): 1395-1409 (2016)
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Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Fuzzy rough sets for self-labelling: An exploratory analysis. FUZZ-IEEE 2016: 931-938
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Lynn D'eer, Chris Cornelis, Yiyu Yao:
A Semantical Approach to Rough Sets and Dominance-Based Rough Sets. IPMU (2) 2016: 23-35
2015
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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: 1-38 (2015)
[j45]
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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): 53-86 (2015)
[j44]
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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): 1622-1637 (2015)
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Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys:
Evolutionary undersampling for imbalanced big data classification. CEC 2015: 715-722
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Lynn D'eer, Chris Cornelis, Daniel Sánchez:
Fuzzy Covering based Rough Sets Revisited. IFSA-EUSFLAT 2015
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Sarah Vluymans, Yvan Saeys, Chris Cornelis, Ankur Teredesai, Martine De Cock:
Fuzzy Rough Set Prototype Selection for Regression. FUZZ-IEEE 2015: 1-8
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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: 1-6
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Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Semi-Supervised Fuzzy-Rough Feature Selection. RSFDGrC 2015: 185-195
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Lynn D'eer, Chris Cornelis:
New Neighborhood Based Rough Sets. RSKT 2015: 191-201
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Masahiro Inuiguchi, Wei-Zhi Wu, Chris Cornelis, Nele Verbiest:
Fuzzy-Rough Hybridization. Handbook of Computational Intelligence 2015: 425-451
2014
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Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera:
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. Appl. Soft Comput. 22: 511-517 (2014)
[j42]
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Chris Cornelis, Jesús Medina, Nele Verbiest:
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection. Int. J. Approx. Reason. 55(1): 412-426 (2014)
[j41]
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Mauricio Restrepo, Chris Cornelis, Jonatan Gómez:
Duality, conjugacy and adjointness of approximation operators in covering-based rough sets. Int. J. Approx. Reason. 55(1): 469-485 (2014)
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Mauricio Restrepo, Chris Cornelis, Jonatan Gómez:
Partial order relation for approximation operators in covering based rough sets. Inf. Sci. 284: 44-59 (2014)
[j39]
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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: 68-89 (2014)
[j38]
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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: 173-181 (2014)
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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: 9-16
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Richard Jensen, Neil Mac Parthaláin, Chris Cornelis:
Feature grouping-based fuzzy-rough feature selection. FUZZ-IEEE 2014: 1488-1495
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Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang:
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings. Lecture Notes in Computer Science 8536, Springer 2014, ISBN 978-3-319-08643-9 [contents]
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Marzena Kryszkiewicz, Chris Cornelis, Davide Ciucci, Jesús Medina-Moreno, Hiroshi Motoda, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 8537, Springer 2014, ISBN 978-3-319-08728-3 [contents]
2013
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Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens:
Using semi-structured data for assessing research paper similarity. Inf. Sci. 221: 245-261 (2013)
[j36]
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Nele Verbiest, Chris Cornelis, Francisco Herrera:
FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognit. 46(10): 2770-2782 (2013)
[j35]
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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): 223-238 (2013)
[j34]
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Patricia Victor, Nele Verbiest, Chris Cornelis, Martine De Cock:
Enhancing the trust-based recommendation process with explicit distrust. ACM Trans. Web 7(2): 6:1-6:19 (2013)
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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: 109-114
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Nele Verbiest, Chris Cornelis, Richard Jensen:
Quality, frequency and similarity based fuzzy nearest neighbor classification. FUZZ-IEEE 2013: 1-8
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Lynn D'eer, Nele Verbiest, Chris Cornelis, Lluís Godo:
Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. RSFDGrC 2013: 169-179
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Nele Verbiest, Chris Cornelis, Francisco Herrera:
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory. RSFDGrC 2013: 180-190
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Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski:
Rough Sets and Knowledge Technology - 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings. Lecture Notes in Computer Science 8171, Springer 2013, ISBN 978-3-642-41298-1 [contents]
2012
[j33]
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Nele Verbiest, Chris Cornelis, Patricia Victor, Enrique Herrera-Viedma:
Trust and distrust aggregation enhanced with path length incorporation. Fuzzy Sets Syst. 202: 61-74 (2012)
[j32]
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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): 73-92 (2012)
[j31]
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
The standard completeness of interval-valued monoidal t-norm based logic. Inf. Sci. 189: 63-76 (2012)
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Nele Verbiest, Chris Cornelis, Richard Jensen:
Fuzzy rough positive region based nearest neighbour classification. FUZZ-IEEE 2012: 1-7
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Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera:
Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. IBERAMIA 2012: 169-178
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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: 248-255
2011
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Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai:
Trust- and Distrust-Based Recommendations for Controversial Reviews. IEEE Intell. Syst. 26(1): 48-55 (2011)
[j29]
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Patricia Victor, Chris Cornelis, Martine De Cock, Enrique Herrera-Viedma:
Practical aggregation operators for gradual trust and distrust. Fuzzy Sets Syst. 184(1): 126-147 (2011)
[j28]
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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): 209-229 (2011)
[j27]
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Richard Jensen, Chris Cornelis:
Fuzzy-rough nearest neighbour classification and prediction. Theor. Comput. Sci. 412(42): 5871-5884 (2011)
[j26]
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Richard Jensen, Chris Cornelis:
Fuzzy-Rough Nearest Neighbour Classification. Trans. Rough Sets 13: 56-72 (2011)
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Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. IWANN (1) 2011: 174-182
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Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens:
Finding Similar Research Papers using Language Models. SPIM 2011: 106-113
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Patricia Victor, Martine De Cock, Chris Cornelis:
Trust and Recommendations. Recommender Systems Handbook 2011: 645-675
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver:
Interval-Valued Algebras and Fuzzy Logics. 35 Years of Fuzzy Set Theory 2011: 57-82
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Chris Cornelis, Glad Deschrijver, Mike Nachtegael, Steven Schockaert, Yun Shi:
35 Years of Fuzzy Set Theory - Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre. Studies in Fuzziness and Soft Computing 261, Springer 2011, ISBN 978-3-642-16628-0 [contents]
2010
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Chris Cornelis, Richard Jensen, Germán Hurtado Martín, Dominik Slezak:
Attribute selection with fuzzy decision reducts. Inf. Sci. 180(2): 209-224 (2010)
[j24]
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Bart Van Gasse, Glad Deschrijver, Chris Cornelis, Etienne E. Kerre:
Filters of residuated lattices and triangle algebras. Inf. Sci. 180(16): 3006-3020 (2010)
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Timur Fayruzov, Jeroen Janssen, Chris Cornelis, Dirk Vermeir, Martine De Cock:
Extending boolean regulatory network models with answer set programming. BIBM Workshops 2010: 207-212
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Germán Hurtado Martín, Steven Schockaert, Chris Cornelis, Helga Naessens:
Metadata Impact on Research Paper Similarity. ECDL 2010: 457-460
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Richard Jensen, Chris Cornelis:
Fuzzy-rough instance selection. FUZZ-IEEE 2010: 1-7
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Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chris Cornelis, Martine De Cock:
Efficient Solving of Time-dependent Answer Set Programs. ICLP (Technical Communications) 2010: 64-73
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Nele Verbiest, Chris Cornelis, Patricia Victor, Enrique Herrera-Viedma:
Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation. IEA/AIE (3) 2010: 450-459
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Chris Cornelis, Nele Verbiest, Richard Jensen:
Ordered Weighted Average Based Fuzzy Rough Sets. RSKT 2010: 78-85

2000 – 2009

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2009
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Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste:
Linguistic feature analysis for protein interaction extraction. BMC Bioinform. 10: 374 (2009)
[j22]
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Patricia Victor, Chris Cornelis, Martine De Cock, Paulo Pinheiro da Silva:
Gradual trust and distrust in recommender systems. Fuzzy Sets Syst. 160(10): 1367-1382 (2009)
[j21]
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
The pseudo-linear semantics of interval-valued fuzzy logics. Inf. Sci. 179(6): 717-728 (2009)
[c31]
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Timur Fayruzov, Martine De Cock, Chris Cornelis, Dirk Vermeir:
Modeling Protein Interaction Networks with Answer Set Programming. BIBM 2009: 99-104
[c30]
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Germán Hurtado Martín, Chris Cornelis, Helga Naessens:
Training a Personal Alert System for Research Information Recommendation. IFSA/EUSFLAT Conf. 2009: 408-413
[c29]
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Nele Verbiest, Chris Cornelis, Yvan Saeys:
Valued Constraint Satisfaction Problems Applied to Functional Harmony. IFSA/EUSFLAT Conf. 2009: 925-930
[c28]
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Richard Jensen, Chris Cornelis, Qiang Shen:
Hybrid fuzzy-rough rule induction and feature selection. FUZZ-IEEE 2009: 1151-1156
[c27]
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Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai:
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items. ICWSM 2009
[c26]
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Rob Opsomer, Geert De Meyer, Chris Cornelis, Greet Van Eetvelde:
Exploiting Properties of Legislative Texts to Improve Classification Accuracy. JURIX 2009: 136-145
2008
[j20]
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Patricia Victor, Chris Cornelis, Martine De Cock, Ankur Teredesai:
Key figure impact in trust-enhanced recommender systems. AI Commun. 21(2-3): 127-143 (2008)
[j19]
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Triangle algebras: A formal logic approach to interval-valued residuated lattices. Fuzzy Sets Syst. 159(9): 1042-1060 (2008)
[j18]
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Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy region connection calculus: Representing vague topological information. Int. J. Approx. Reason. 48(1): 314-331 (2008)
[j17]
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Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy region connection calculus: An interpretation based on closeness. Int. J. Approx. Reason. 48(1): 332-347 (2008)
[j16]
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
A characterization of interval-valued residuated lattices. Int. J. Approx. Reason. 49(2): 478-487 (2008)
[c25]
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Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste:
The role of syntactic features in protein interaction extraction. DTMBIO 2008: 61-68
[c24]
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Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste:
DEEPER: A Full Parsing Based Approach to Protein Relation Extraction. EvoBIO 2008: 36-47
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Chris Cornelis, Richard Jensen:
A noise-tolerant approach to fuzzy-rough feature selection. FUZZ-IEEE 2008: 1598-1605
[c22]
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Richard Jensen, Chris Cornelis:
A New Approach to Fuzzy-Rough Nearest Neighbour Classification. RSCTC 2008: 310-319
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Chris Cornelis, Germán Hurtado Martín, Richard Jensen, Dominik Slezak:
Feature Selection with Fuzzy Decision Reducts. RSKT 2008: 284-291
[c20]
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Patricia Victor, Chris Cornelis, Ankur Teredesai, Martine De Cock:
Whom should I trust?: the impact of key figures on cold start recommendations. SAC 2008: 2014-2018
2007
[j15]
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Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Clustering web search results using fuzzy ants. Int. J. Intell. Syst. 22(5): 455-474 (2007)
[j14]
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Glad Deschrijver, Ofer Arieli, Chris Cornelis, Etienne E. Kerre:
A Bilattice-Based Framework for Handling Graded Truth and Imprecision. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(1): 13-41 (2007)
[j13]
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Glad Deschrijver, Chris Cornelis:
Representability in Interval-Valued Fuzzy Set Theory. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(3): 345-361 (2007)
[j12]
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Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhang:
One-and-only item recommendation with fuzzy logic techniques. Inf. Sci. 177(22): 4906-4921 (2007)
[j11]
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Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy Rough Sets: The Forgotten Step. IEEE Trans. Fuzzy Syst. 15(1): 121-130 (2007)
[j10]
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Chris Cornelis, Ofer Arieli, Glad Deschrijver, Etienne E. Kerre:
Uncertainty Modeling by Bilattice-Based Squares and Triangles. IEEE Trans. Fuzzy Syst. 15(2): 161-175 (2007)
[c19]
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
A Fuzzy Formal Logic for Interval-valued Residuated Lattices. EUSFLAT Conf. (2) 2007: 13-19
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Chris Cornelis, Martine De Cock, Anna Maria Radzikowska:
Vaguely Quantified Rough Sets. RSFDGrC 2007: 87-94
2006
[j9]
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Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Advances and challenges in interval-valued fuzzy logic. Fuzzy Sets Syst. 157(5): 622-627 (2006)
[c17]
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Patricia Victor, Chris Cornelis, Martine De Cock:
Enhanced Recommendations through Propagation of Trust and Distrust. IAT Workshops 2006: 263-266
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Ofer Arieli, Chris Cornelis, Glad Deschrijver:
Preference Modeling by Rectangular Bilattices. MDAI 2006: 22-33
[c15]
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Patricia Victor, Chris Cornelis, Martine De Cock, Paulo Pinheiro da Silva:
Towards a Provenance-Preserving Trust Model in Agent Networks. MTW 2006
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Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices. RSCTC 2006: 117-126
[c13]
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Steven Schockaert, Patricia Victor, Geert-Jan Houben, Chris Cornelis, Martine De Cock, Etienne E. Kerre:
Reflections on Modelling Vagueness in Description Logics. URSW 2006
2005
[j8]
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Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Elicitation of fuzzy association rules from positive and negative examples. Fuzzy Sets Syst. 149(1): 73-85 (2005)
[j7]
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Chris Cornelis, Martine De Cock:
Special issue dedicated to the 60th birthday of Etienne E. Kerre. J. Intell. Fuzzy Syst. 16(4): 239-243 (2005)
[j6]
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Steven Schockaert, Martine De Cock, Chris Cornelis:
Relatedness of fuzzy sets. J. Intell. Fuzzy Syst. 16(4): 297-303 (2005)
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Ofer Arieli, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Bilattice-Based Squares and Triangles. ECSQARU 2005: 563-575
[c11]
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Chris Cornelis, Xuetao Guo, Jie Lu, Guanquang Zhang:
A Fuzzy Relational Approach to Event Recommendation. IICAI 2005: 2231-2242
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Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Intuitionistic Fuzzy Relational Images. Computational Intelligence for Modelling and Prediction 2005: 129-145
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Martine De Cock, Chris Cornelis, Ming Ren, Guoqing Chen, Etienne E. Kerre:
Association Rule Based Specialization in ER Models. Intelligent Data Mining 2005: 201-217
2004
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Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application. Int. J. Approx. Reason. 35(1): 55-95 (2004)
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Chris Cornelis, Peter De Kesel, Etienne E. Kerre:
Shortest paths in fuzzy weighted graphs. Int. J. Intell. Syst. 19(11): 1051-1068 (2004)
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Glad Deschrijver, Chris Cornelis, Etienne E. Kerre:
On the representation of intuitionistic fuzzy t-norms and t-conorms. IEEE Trans. Fuzzy Syst. 12(1): 45-61 (2004)
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Steven Schockaert, Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy Ant Based Clustering. ANTS Workshop 2004: 342-349
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Martine De Cock, Chris Cornelis, Etienne E. Kerre:
Fuzzy rough sets: beyond the obvious. FUZZ-IEEE 2004: 103-108
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Peng Yan, Guoqing Chen, Chris Cornelis, Martine De Cock, Etienne E. Kerre:
Mining Positive and Negative Fuzzy Association Rules. KES 2004: 270-276
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Chris Cornelis, Martine De Cock, Etienne E. Kerre:
Efficient Approximate Reasoning with Positive and Negative Information. KES 2004: 779-785
2003
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Chris Cornelis, Martine De Cock, Etienne E. Kerre:
Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge. Expert Syst. J. Knowl. Eng. 20(5): 260-270 (2003)
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Chris Cornelis, Carol Van der Donck, Etienne E. Kerre:
Sinha-Dougherty approach to the fuzzification of set inclusion revisited. Fuzzy Sets Syst. 134(2): 283-295 (2003)
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Chris Cornelis, Etienne E. Kerre:
Inclusion Measures in Intuitionistic Fuzzy Set Theory. ECSQARU 2003: 345-356
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Chris Cornelis, Krassimir T. Atanassov, Etienne E. Kerre:
Intuitionistic fuzzy sets and interval-valued fuzzy sets: a critical comparison. EUSFLAT Conf. 2003: 159-163
2002
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Chris Cornelis, Martine De Cock, Etienne E. Kerre:
Linguistic Hedges in an Intuitionistic Fuzzy Setting. FSKD 2002: 101-105
[c3]
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Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
Classification Of Intuitionistic Fuzzy Implicators: An Algebraic Approach. JCIS 2002: 105-108
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Mariana Nikolova, Nikolai Nikolov, Chris Cornelis, Glad Deschrijver:
Survey of the Research On Intuitionistic Fuzzy Sets. JCIS 2002: 117-120
2001
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Chris Cornelis, Etienne E. Kerre:
Inclusion-Based Approximate Reasoning. International Conference on Computational Science (2) 2001: 221-230

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