Martine De Cock holds a M.Sc. and a Ph.D. degree in Computer Science from
Ghent University (Belgium). She is a professor at the School of Engineering and
Technology, University of Washington Tacoma (USA), as well as a guest
professor at Ghent University. Her previous work experiences include
positions as a research assistant and a postdoctoral fellow supported by
the Fund for Scientific Research - Flanders, a visiting scholar in the
BISC group at the University of California, Berkeley (USA), a visiting
scholar at the Knowledge Systems Laboratory at Stanford University (USA),
and an associate professor at the Department of Applied Mathematics,
Computer Science and Statistics at Ghent University. She has over 180
peer reviewed publications in international journals and conferences on
artificial intelligence, data mining, machine learning, information
retrieval, web intelligence and logic programming. She is a program
committee member of numerous international conferences and has served as an associate
editor of IEEE Transactions on Fuzzy Systems. She co-organized the
KDDCup2013. Her current research interests are privacy preserving machine learning,
cybersecurity, and data analytics to improve the quality of healthcare.
Autumn 2023: TCSS343 Design and Analysis of Algorithms; TCSS555 Machine Learning
Spring 2023: TCSS343 Design and Analysis of Algorithms
Winter 2023: TCSS455 Introduction to Machine Learning
Autumn 2022: TCSS343 Design and Analysis of Algorithms; TCSS555 Machine Learning
Spring 2022: TCSS343 Design and Analysis of Algorithms
Winter 2022: TCSS455 Introduction to Machine Learning; TCSS555 Machine Learning
Autumn 2021: TCSS343 Design and Analysis of Algorithms
Spring 2020: TCSS455 Introduction to Machine Learning
Autumn 2019: TCSS343 Design and Analysis of Algorithms; TCSS555 Machine Learning
Spring 2019: TCSS343 Design and Analysis of Algorithms; TCSS455 Introduction to Machine Learning
Autumn 2018: TCSS555 Machine Learning
Spring 2018: TCSS343 Design and Analysis of Algorithms; TCSS555 Machine Learning
Winter 2018: TCSS455 Introduction to Machine Learning
Autumn 2017: TCSS555 Machine Learning
Spring 2017: TCSS343 Design and Analysis of Algorithms; TCSS555 Machine Learning
Autumn 2016: TCSS555 Machine Learning
Spring 2016: TCSS343 Design and Analysis of Algorithms
Winter 2016: TCSS555 Machine Learning
Autumn 2015: TCSS543 Advanced Algorithms
Winter 2015: TCSS555 Data Mining
Spring 2014: TCSS590 Social Networks
Winter 2014: TCSS543 Advanced Algorithms
Publications
Papers on arXiv:
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi https://arxiv.org/abs/2205.11584
Training Differentially Private Models with Secure Multiparty Computation
S. Pentyala, D. Railsback, R. Maia, R. Dowsley, D.
Melanson, A. Nascimento, M. De Cock https://eprint.iacr.org/2022/146
Journal papers
Secure Multi-Party Computation for Personalized Human Activity Recognition [PDF]
D. Melanson, R. Maia, H. S. Kim, A. Nascimento, M. De Cock
Neural Processing Letters, 2023
Privacy-Preserving Training of Tree Ensembles over Continuous Data
[PDF]
S. Adams, C. Choudhary, M. De Cock, R. Dowsley, D. Melanson, A. C. A. Nascimento,
D. Railsback, J. Shen
Proceedings on Privacy Enhancing Technologies (PoPETS) 2022(2), p. 205-226, 2022
High Performance Logistic Regression for Privacy-Preserving Genome Analysis [PDF]
M. De Cock, R. Dowsley, A. C. A. Nascimento, D. Railsback, J. Shen, A. Todoki
BMC Medical Genomics 14(23), 2021
Inline Detection of DGA Domains Using Side Information [PDF]
R. Sivaguru, J. Peck, F. Olumofin, A. Nascimento, M. De Cock
IEEE Access 8, p. 141910-141922, 2020
Protecting Privacy of Users in Brain-Computer Interface Applications [PDF]
A. Agarwal, R. Dowsley, N. McKinney, D. Wu, C.-T. Lin, M. De Cock, A. Nascimento
IEEE Transactions on Neural Systems & Rehabilitation Engineering, 27(8), p.1546-1555, 2019
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic
Regression Models based on Pre-Computation [PDF]
M. De Cock, R. Dowsley, C. Horst, R. Katti, A. Nascimento, W.-S. Poon, S. Truex
IEEE Transactions on Dependable and Secure Computing 16(2), p. 217-230, 2019
CharBot: A Simple and Effective Method for Evading DGA Classifiers [PDF]
J. Peck, C. Nie, R. Sivaguru, C. Grumer, F. Olumofin, B. Yu, A. Nascimento, M. De Cock
IEEE Access 7, p. 91759-91771, 2019
Weakly Supervised Deep Learning for the Detection of Domain Generation
Algorithms [PDF]
B. Yu, J. Pan, D. Gray, J. Hu, C. Choudhary, A. Nascimento, M. De Cock
IEEE Access 7, p. 51542-51556, 2019
Modelling Incomplete Information in Boolean Games using Possibilistic Logic [PDF]
S. De Clercq, S. Schockaert, A. Nowe, M. De Cock
International Journal of Approximate Reasoning 93, p.1-23, 2018
Modeling Multi-Valued Biological Interaction Networks using Fuzzy Answer Set Programming [PDF]
M. Mushthofa, S. Schockaert, L.-H. Hung, K. Marchal, M. De Cock
Fuzzy Sets and Systems 345, p.63-82, 2018
Exact and Heuristic Methods for Solving Boolean Games [PDF]
S. De Clercq, K. Bauters, S. Schockaert, M. Mihaylov, A. Nowe, M. De
Cock
Journal of Autonomous Agents and Multi-Agent Systems 31(1), p.66-106, 2017
Soft Quantification in Statistical Relational Learning [PDF]
G. Farnadi, S.H. Bach, M.-F. Moens, L. Getoor, M. De Cock
Machine Learning 106(12), p.1971-1991, 2017
Repairing Inconsistent Answer Set Programs Using Rules
of Thumb: a Gene Regulatory Networks Case Study [PDF]
E. Merhej, S. Schockaert, M. De Cock
International Journal of Approximate Reasoning 83, p.243-264, 2017
Computational Personality Recognition in Social Media [PDF]
G. Farnadi, G. Sitaraman, S. Sushmita, F. Celli, M. Kosinski, D.
Stillwell, S. Davalos, M.-F. Moens, M. De Cock
User Modeling and User-Adapted Interaction 26(2), p.109-142, 2016
Solving Stable Matching Problems using Answer Set Programming [PDF]
S. De Clercq, S. Schockaert, M. De Cock, A. Nowe
Theory and Practice of Logic Programming 16(3), p.247-268, 2016
Characterizing and Extending Answer Set Semantics using Possibility
Theory [PDF]
K. Bauters, S. Schockaert, M. De Cock, D. Vermeir
Theory and Practice of Logic Programming 15(1), p.79-116, 2015
On the relationship between fuzzy autoepistemic logic and fuzzy modal
logics of belief [PDF]
M. Blondeel, T. Flaminio, S. Schockaert, L. Godo, M. De Cock
Fuzzy Sets and Systems 276, p.74-99, 2015
Semantics for Possibilistic Answer Set Programs: Uncertain Rules versus Rules with Uncertain Conclusions [PDF]
K. Bauters, S. Schockaert, M. De Cock, D. Vermeir
International Journal of Approximate Reasoning 55(2), p.739-761, 2014
Fuzzy Autoepistemic Logic and its Relation to Fuzzy Answer Set Programming [PDF]
M. Blondeel, S. Schockaert, M. De Cock, D. Vermeir
Fuzzy Sets and Systems 239, p.51-80, 2014
Using the Crowd for Readability Prediction [PDF]
O. De Clercq, V. Hoste, B. Desmet, P. Van Oosten, M. De Cock, L. Macken
Natural Language Engineering 20(3), p.293-325, 2014
Complexity of Fuzzy Answer Set Programming under Lukasiewicz Semantics [PDF]
M. Blondeel, S. Schockaert, M. De Cock, D. Vermeir
International Journal of Approximate Reasoning 55(9), p.1971-2003, 2014
ASP-G: An ASP-based Method for Finding Attractors in Genetic Regulatory Networks [PDF]
M. Mushthofa, G. Torres, Y. Van de Peer, K. Marchal, M. De Cock
Bioinformatics 30(21), p.3086-3092, 2014
Expressiveness of Communication in Answer Set Programming [PDF]
K. Bauters, J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
Theory and Practice of Logic Programming 13(3), p.361-394, 2013
Enhancing the Trust-based Recommendation Process with Explicit Distrust [PDF]
P. Victor, N. Verbiest, C. Cornelis, M. De Cock
ACM Transactions on the Web 7(2), Article 6 (19 pages), 2013
Reducing Fuzzy Answer Set Programming to Model Finding in Fuzzy Logics [PDF]
J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
Theory and Practice of Logic Programming 12(6), p. 811-842, 2012
A Core Language for Fuzzy Answer Set Programming [PDF]
J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
International Journal of Approximate Reasoning, 53, p. 660-692, 2012
Modelling Gene and Protein Regulatory Networks with Answer Set Programming [PDF]
T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock
International Journal of Data Mining and Bioinformatics 5(2), p.209-229, 2011
Aggregated Fuzzy Answer Set Programming [PDF]
J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
Annals of Mathematics and Artificial Intelligence 63(2), p.103-147, 2011
Practical Aggregation Operators for Gradual Trust and Distrust [PDF]
P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
Fuzzy Sets and Systems 184(1), p.126-147, 2011
Trust- and Distrust-Based Recommendations for Controversial Reviews [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
IEEE Intelligent Systems 26(1), pp. 48-55, 2011
Clustering Web People Search Results using Fuzzy Ants [PDF]
E. Lefever, T. Fayruzov, V. Hoste, M. De Cock
Information Sciences 180(17), p. 3192-3209, 2010
Reasoning about Fuzzy Temporal Information from the Web: Towards Retrieval of Historical Events [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
Soft Computing 14(8), p. 869-886, 2010
Linguistic Feature Analysis for Protein Interaction Extraction [HTML]
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
BMC Bioinformatics 10:374, 2009
Efficient Algorithms for Fuzzy Qualitative Temporal Reasoning [PDF]
S. Schockaert, M. De Cock
IEEE Transactions on Fuzzy Systems 17(4), p. 794-808, 2009
Spatial Reasoning in a Fuzzy Region Connection Calculus [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
Artificial Intelligence 173, p. 258-298, 2009
Gradual Trust and Distrust in Recommender Systems [PDF]
P. Victor, C. Cornelis, M. De Cock, P. Pinheiro da Silva
Fuzzy Sets and Systems 160(10), p. 1367-1382, 2009
Temporal Reasoning about Fuzzy Intervals [PDF]
S. Schockaert, M. De Cock
Artificial Intelligence 172, p. 1158-1193, 2008
Fuzzy Region Connection Calculus: Representing Vague Topological Information [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
International Journal of Approximate Reasoning 48, p. 314-331, 2008
Fuzzy Region Connection Calculus: an Interpretation Based on Closeness [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
International Journal of Approximate Reasoning 48, p. 332-347, 2008
Fuzzifying Allen's Temporal Interval Relations [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
IEEE Transactions on Fuzzy Systems 16(2), p.517-533, 2008
Location Approximation for Local Search Services using Natural Language
Hints [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
International Journal of Geographical Information Science 22(3), p.315-336, 2008
Key Figure Impact in Trust-Enhanced Recommender Systems [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
AI Communications vol 21(2-3), p.127-143, 2008
Fuzzy Rough Sets: the Forgotten Step [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
IEEE Transactions on Fuzzy Systems 15(1), p.121-130, 2007
Clustering Web Search Results Using Fuzzy Ants [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
International Journal of Intelligent Systems 22, p.455-474, 2007
An Introduction to Fuzzy Answer Set Programming [PDF]
D. Van Nieuwenborgh, M. De Cock, D. Vermeir
Annals of Mathematics and Artificial Intelligence 50, p.363-388, 2007
A Many-valued Representation and Propagation of Trust and Distrust
[PDF]
M. De Cock, P. Pinheiro da Silva
Lecture Notes in Artificial Intelligence 3849, p.114-120, 2006
Question Answering with Imperfect Temporal Information [PDF]
S. Schockaert, D. Ahn, M. De Cock, E. E. Kerre
Lecture Notes in Artificial Intelligence 4027, p.647-658, 2006
Imprecise Temporal Interval Relations
[PDF]
S. Schockaert, M. De Cock, E. E. Kerre
Lecture Notes in Artificial Intelligence 3849, p.108-113, 2006
Fuzzy Answer Set Programming [PDF]
D. Van Nieuwenborgh, M. De Cock, D. Vermeir
Lecture Notes in Computer Science 4160, p.359-372, 2006
Fuzzy Versus Quantitative Association Rules: A Fair Data Driven
Comparison [PDF]
H. Verlinde, M. De Cock, R. Boute
IEEE Transactions on Systems, Man and Cybernetics 36(3), p.679-684, 2006
Elicitation of Fuzzy Association Rules from Positive and Negative
Examples [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
Fuzzy Sets and Systems 149(1), p.73-85, 2005
Relatedness of Fuzzy Sets [PDF]
S. Schockaert, M. De Cock, C. Cornelis
Journal of Intelligent and Fuzzy Systems 6(4), p.297-303, 2005
Automatic Acquisition of Fuzzy Footprints
[PDF]
S. Schockaert, M. De Cock, E. E. Kerre
Lecture Notes in Computer Science 3762, p.1077-1086, 2005
Fuzzy Constraint Based Answer Validation [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
Lecture Notes in Computer Science 3528, p.394-400, 2005
Efficient Approximate Reasoning with Positive and Negative
Information [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
Lecture Notes in Artificial Intelligence 3214, p.779-785, 2004
Fuzzy Modifiers Based on Fuzzy Relations [PDF]
M. De Cock, E. E. Kerre
Information Sciences 160, p.173-199, 2004
Fuzzy Ant Based Clustering [PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
Lecture Notes in Computer Science 3172, p.342-349, 2004
Mining Positive and Negative Fuzzy Association Rules [PDF]
P. Yan, G. Chen, C. Cornelis, M. De Cock, E. E. Kerre
Lecture Notes in Artificial Intelligence 3213, p.270-276, 2004
Openings and Closures of Fuzzy Preorderings: Theoretical Basics and
Applications to Fuzzy Rule-Based Systems [PDF]
U. Bodenhofer, M. De Cock, E. E. Kerre
International Journal of General Systems 32 (4),
p.343-360, 2003
Intuitionistic Fuzzy Rough Sets: at the Crossroads of Imperfect
Knowledge [PDF]
C. Cornelis, M. De Cock, E. E. Kerre
Expert Systems: The International Journal of Knowledge Engineering
and Neural Networks 20(5), p.260-269, 2003
On (Un)suitable Fuzzy Relations to Model Approximate Equality [PDF]
M. De Cock, E. E. Kerre
Fuzzy Sets and Systems 133(2), p.137-153, 2003
Why Fuzzy T-Equivalence Relations do Not Resolve the Poincare
Paradox, and Related Issues [PDF]
M. De Cock, E. E. Kerre
Fuzzy Sets and Systems 133(2), p.181-192, 2003
A New Generation of the Fuzzy-Set-Theoretical Representation of
Modified Linguistic Terms
M. De Cock
WEB-SLS: The European Student Journal of Language and Speech (on-line
journal), 2002
A Context-Based Approach to Linguistic Hedges
M. De Cock, E. E. Kerre
International Journal of Applied Mathematics and Computer Science
12(3), p. 371-382, 2002 (indexed by Zentralblatt Math)
On the meaning of noise annoyance modifiers: a fuzzy set theoretical
approach [PDF]
D. Botteldooren, A. Verkeyn, C. Cornelis, M. De Cock
Acta Acustica united with Acustica, 88 (2), p.239-251, 2002
Fuzzy Relational Images in Computer Science
M. Nachtegael, M. De Cock, D. Van Der Weken, E. E. Kerre
Lecture Notes in Computer Science 2561, p.134-151, 2002
Fuzzy Topologies Induced by Fuzzy Relation Based Modifiers
[PDF]
M. De Cock, E. E. Kerre
Lecture Notes in Computer Science 2206, p.239-248, 2001
Linguistic Variables: a Powerful Concept for Knowledge
Representation
M. De Cock, E. E. Kerre
International Journal of Computing Anticipatory Systems 8, p.174-189,
2001
A Neural Network Based on Linguistic Modifiers
M. De Cock, F. Vynckier, E. E. Kerre
Lecture Notes in Computer Science 1625, p.694-696, 1999
Fuzzy Information Processing 2020
Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS2020
B. Bede, M. Ceberio, M. De Cock. V. Kreinovich, eds.
Advances in Intelligent Systems and Computing, Vol. 1337, Springer,
2021, ISBN 978-3-030-81561-5
Proceedings of the 8th Belgian-Dutch Information Retrieval Workshop (DIR 2008)
E. Hoenkamp, M. De Cock, V. Hoste, eds., 2008
Applied Artificial Intelligence
D. Ruan, P. D'hondt, P. Fantoni, M. De Cock, M. Nachtegael, E. E. Kerre, eds.
World Scientific, 2006, ISBN 981-256-690-2 (listed in Web of Science CPCI-S)
Applied Computational Intelligence
D. Ruan, P. D'hondt, M. De Cock, M. Nachtegael, E. E. Kerre, eds.
World Scientific, 2004, ISBN 981-238-873-7 (listed in Web of Science CPCI-S)
Chapters in books
Fuzzy Answer Set Programming: from Theory to Practice [PDF]
M. Mushthofa, S. Schockaert, and M. De Cock
in: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their
Applications (O. Kosheleva, S. Shary, G. Xiang, R. Zapatrin, eds.),
Studies in Computational Intelligence 835, Springer, p. 213-228, 2020
Fuzzy Answer Set Programming: An Introduction [PDF]
M. Blondeel, S. Schockaert, D. Vermeir, M. De Cock
in: Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing 291, Springer, p. 209-222, 2013
Trust and Recommendations [PDF]
P. Victor, C. Cornelis, M. De Cock
in: Recommender Systems Handbook (F. Ricci, L. Rokach, B. Shapira, P.B. Kantor, eds.),
Springer, p. 645-676, 2011
Fuzzy Methods on the Web: a Critical Discussion [PDF]
S. Schockaert, N. Makarytska, M. De Cock
in: 35 Years of Fuzzy Set Theory (C. Cornelis, G. Deschrijver, M.
Nachtegael, S. Schockaert, Y. Shi, eds.), Studies in Fuzziness and Soft
Computing 261, Springer-Verlag, p. 237-266, 2011
Fuzzy Rough Sets: from Theory into Practice [PDF]
C. Cornelis, M. De Cock, A. M. Radzikowska
in: Handbook of Granular Computing (W. Pedrycz, A. Skowron, V. Kreinovich, eds.), John Wiley & Sons, p. 533-552, 2008
Association Rule Based Specialization in ER Models
[PDF]
M. De Cock, C. Cornelis, M. Ren, G. Chen, E. E. Kerre
in: Intelligent Data Mining: Techniques and Applications
(D. Ruan, G. Chen, E. Kerre, G. Wets, eds.), Studies in
Computational Intelligence 5, Springer, p. 203-217, 2005
Fuzzy Thesauri for and from the WWW
M. De Cock, S. Guadarrama, M. Nikravesh
in: Soft Computing for Information Processing and Analysis
(M. Nikravesh, L. A. Zadeh, J. Kacprzyk, eds.), Studies in Fuzziness
and Soft Computing 164, Springer-Verlag, p. 275-284, 2005
Generating membership functions for a noise annoyance model from
experimental data [PDF]
A. Verkeyn, M. De Cock, D. Botteldooren, E. E. Kerre
in: Soft computing in measurement and information acquisition (L.
Reznik, V. Kreinovich, eds.), Studies in Fuzziness and Soft
Computing 127, Springer-Verlag, p. 51-67, 2003
Linguistic Hedges: a Quantifier Based Approach [PDF]
M. De Cock
in: Soft Computing Systems: Design, Management and Applications (A.
Abraham, J. Ruiz-del-Solar, M. Koppen, eds.), Frontiers in
Artificial Intelligence and Applications 87, IOS Press, p. 142-150,
2002
The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework
C. Cornelis, M. De Cock, E. E. Kerre
in: Fuzzy If-Then Rules in Computational Intelligence : Theory and
Applications (D. Ruan, E. E. Kerre, eds.), Kluwer Academic
Publishers, p. 37-59, 2000
Linguistic Modifiers; an Overview
E. E. Kerre, M. De Cock
in: Fuzzy Logic and Soft Computing (G. Chen, M. Ying, K.-Y. Cai, eds.), Kluwer
Academic Publishers, p. 69-85, 1999
Papers in proceedings
A Decentralized Information Marketplace Preserving Input and Output Privacy
[PDF]
S. Golob, S. Pentyala, R. Dowsley, B. David, M. Larangeira, M. De Cock, A. Nascimento
in: Proceedings of the 2nd Data Economy Workshop (DEC23) - SIGMOD 2023 workshop, 2023
Privacy-Preserving Fair Item Ranking
[PDF]
J.A. Sun, S. Pentyala, M. De Cock, G. Farnadi
in: Advances in Information Retrieval, 45th European Conference on IR research (ECIR 2023), Lecture Notes in Computer Science 13981, p.188-203, 2023
Privacy-Preserving Group Fairness in Cross-Device Federated Learning
[Video]
S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi
in: Proceedings of Algorithmic Fairness through the Lens of Causality and Privacy (AFCP2022) - NeurIPS2022 workshop, 2022
Private Text Classification with Convolutional Neural Networks
[PDF]
S. Adams, D. Melanson, M. De Cock
in: Third Workshop on Privacy in Natural Language Processing (PrivateNLP2021) - NAACL-HLT Workshop, p.53-58, 2021
Privacy-Preserving Feature Selection with Secure Multiparty Computation
[HTML]
X. Li, R. Dowsley, M. De Cock
in: 38th International Conference on Machine Learning (ICML), PMLR 139, p. 6326-6336, 2021
Privacy-Preserving Video Classification with Convolutional Neural Networks
[HTML]
S. Pentyala, R. Dowsley, M. De Cock
in: 38th International Conference on Machine Learning (ICML), PMLR 139, p. 8487-8499, 2021
Cognitive Load Detection from Wrist-Band Sensors
[PDF]
X. Li, M. De Cock
in: UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on
Pervasive and Ubiquitous Computing and Proceedings of the
2020 ACM International Symposium on Wearable Computers, p. 456-461, 2020
Fast Secure Logistic Regression for High Dimensional Gene Data
[PDF]
M. De Cock, R. Dowsley, A. Nascimento, D. Railsback, J. Shen, A. Todoki
in: Privacy in Machine Learning workshop (PriML2019) - NeurIPS Workshop, 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation [PDF]
D. Reich, A. Todoki, R. Dowsley, M. De Cock, A. Nascimento
in: Advances in Neural Information Processing Systems 32 (NeurIPS), p. 3752-3764, 2019
Algorithmically Generated Domain Detection and Malware Family Classification [PDF]
C. Choudhary, R. Sivaguru, M. Pereira, B. Yu, A. Nascimento, M. De Cock
in: Proceedings of the Sixth International Symposium on Security in Computing and Communications
(SSCC'18), Communications in Computer and Information Science Series 969, p.640-655, 2019 First place for two out of the four datasets in the Detecting Malicious Domain Names competition
DMD 2018
Detecting Misogynous Tweets [PDF]
R. Ahluwalia, E. Shcherbinina, E. Callow, A. Nascimento, M. De Cock
in: Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018), co-located with the 34th Conference of the Spanish Society for Natural Language Processing (SE-
PLN 2018), CEUR-WS, Vol 2150, p. 242-248, 2018
Detecting Hate Speech Against Women in English Tweets [PDF]
R. Ahluwalia, H. Soni, E. Callow, A. Nascimento, M. De Cock
in: Proceedings of EVALITA 2018, CEUR-WS, Vol 2263, p.194-199, 2018 First place for category and target detection in the Automatic Misogyny Detection competition
AMI@EvalIta2018
User Profiling through Deep Multimodal Fusion [PDF]
G. Farnadi, J. Tang, M. De Cock, M.-F. Moens
in: Proceedings of WSDM2018 (11th ACM International Conference on Web Search and Data Mining), p.171-179, 2018
Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare [PDF]
K. Fritchman, K. Saminathan, R. Dowsley, T. Hughes, M. De Cock, A. Nascimento, A. Teredesai
in: Proceedings of IEEE BigData2018 (2018 IEEE International Conference on Big Data), p. 2412-2421, 2018
Automatic Detection of Excess Healthcare Spending and Cost Variation in ACOs [PDF]
E. Liu, M. A. Ahmad, C. Eckert, A. Nascimento, M. De Cock, K. Padthe, A. Teredesai, G. McKelvey
in: DMMH2018 (SDM 2018 Workshop on Data Mining for Medicine and Healthcare), 2018
Dictionary Extraction and Detection of Algorithmically Generated Domain Names in Passive DNS Traffic [PDF]
M. Pereira, S. Coleman, B. Yu, M. De Cock, A. Nascimento
in: Proceedings of RAID 2018 (21st International Symposium on Research in Attacks, Intrusions and
Defenses), Lecture Notes in Computer Science 11050, p. 295-314, 2018
An Evaluation of DGA Classifiers [PDF]
R. Sivaguru, C. Choudhary, B. Yu, V. Tymchenko, A. Nascimento, M. De Cock
in: Proceedings of IEEE BigData2018 (2018 IEEE International Conference on Big Data), p. 5051-5060, 2018
Character Level based Detection of DGA Domain Names [PDF]
B. Yu, J. Pan, J. Hu, A. Nascimento, M. De Cock
in: Proceedings of IJCNN at WCCI2018 (2018 IEEE World Congress on Computational Intelligence), p. 4168-4175, 2018
Recommending Treatments for Comorbid Patients Using Word-Based and Phrase-Based Alignment Methods [PDF]
E. Merhej, S. Schockaert, T. G. McKelvey, M. De Cock
in: Proceedings of BNAIC2017 (29th BENELUX Conference on Artificial Intelligence), 2017
Generating Conflict-Free Treatments for Patients with Comorbidity
using ASP [PDF]
E. Merhej, S. Schockaert, T. McKelvey, M. De Cock
in: Knowledge Representation for Health Care, Lecture Notes in Computer Science 10096,
Selected and revised papers of KR4HC/ProHealth 2016, workshop at HEC2016 (Health-Exploring
Complexity: an Interdisciplinary Systems Approach), p.111-119, 2017
Inline DGA Detection with Deep Networks [PDF]
B. Yu, D. Gray, J. Pan, M. De Cock, A. Nascimento
in: Data Mining for Cyber Security, Proceedings of International Conference on Data Mining
(ICDM2017) Workshops, p.683-692, 2017
Formalizing Commitment-based Deals in Boolean Games [PDF]
S. De Clercq, S. Schockaert, A. Nowe, M. De Cock
in: Frontiers in Artificial Intelligence and Applications 285, IOS Press,
Proceedings of ECAI2016 (22nd European Conference on
Artificial Intelligence), p.329-337, 2016
Computing Attractors of Multi-Valued Gene Regulatory Networks using
Fuzzy Answer Set Programming [PDF]
M. Mushthofa, S.Schockaert, M. De Cock
in: Proceedings of FUZZ-IEEE at WCCI2016 (2016 IEEE World Congress on
Computational Intelligence), p.1955-1962, 2016
Predicting Future Frequent Users of Emergency Departments in
California State [PDF]
M. Pereira, V. Singh, C. P. Hon, T. G. McKelvey, S. Sushmita, M. De
Cock
in: Proceedings of ACM BCB 2016 (5th ACM International Conference on
Bioinformatics, Computational Biology, and Health Informatics), p.603-610,
2016
VirtualIdentity: Privacy Preserving User Profiling [PDF]
S. Wang, W.-S. Poon, G. Farnadi, C. Horst, K. Thompson, M. Nickels, A.
Nascimento, M. De Cock
in: Proceedings of ASONAM 2016 (IEEE/ACM International Conference on
Social Networks Analysis and Mining), p.1434-1437, 2016
Predicting 30-Day Risk and Cost of "All-Cause" Hospital
Readmissions [PDF]
S. Sushmita, G. Khulbe, A. Hasan, S. Newman, P. Ravindra, S. Basu Roy,
M. De Cock, A. Teredesai
in: Proceedings of the Workshops of the Thirtieth AAAI Conference on
Artificial Intelligence, Expanding the Boundaries of Health Informatics
Using AI, p.453-461, 2016
Statistical Relational Learning with Soft Quantifiers [PDF]
G. Farnadi, S.H. Bach, M. Blondeel, M.-F. Moens, L. Getoor, M. De Cock
in: Lecture Notes in Computer Science 9575, Proceedings of ILP2015 (25th International
Conference on Inductive Logic Programming), p.60-75, 2016 Best student paper award
Scalable Adaptive Label Propagation in Grappa
G. Farnadi, Z. Mahdavifar, I. Keller, J. Nelson, A. Teredesai,
M.-F. Moens, M. De Cock
in: Proceedings of IEEE Big Data 2015 (2015 IEEE International Conference
on Big Data), p.1485-1491, 2015
Multilateral Negotiation in Boolean Games with Incomplete Information
using Generalized Possibilistic Logic
S. De Clercq, S. Schockaert, A. Nowe, M. De Cock
in: Proceedings of IJCAI 2015 (International Joint Conference on
Artificial Intelligence), p.2890-2896, 2015
Fast, Privacy Preserving Linear Regression over Distributed Datasets
based on Pre-Distributed Data [PDF]
M. De Cock, R. Dowsley, A. Nascimento, S. Newman
in: Proceedings of AI-Sec 2015 (8th ACM Workshop on Artificial
Intelligence and Security with the 22nd ACM Conference on Computer and
Communications), p.3-14, 2015
Using Rules of Thumb for Repairing Inconsistent Answer Set
Programs
E. Merhej, S. Schockaert, M. De Cock
in: Proceedings of SUM2015 (9th International Conference on Scalable
Uncertainty Management), Lecture Notes in Artificial
Intelligence 9310, p.368-381, 2015
Solving Disjunctive Fuzzy Answer Set Programs
M. Mushthofa, S. Schockaert, M. De Cock
in: Proceedings of LPNMR 2015 (13th International Conference on
Logic Programming and Non-monotonic Reasoning), Lecture Notes in
Artificial Intelligence 9345, p.453-466, 2015
Population Cost Prediction on Public Healthcare Datasets
S. Sushmita, S. Newman, J. Marquardt, P. Ram, V. Prasad, M. De Cock, A.
Teredesai
in: Proceedings of ACM Digital Health 2015 (5th International
Conference on Digital Health), p.87-94, 2015
Distributed Fuzzy Rough Prototype Selection for Big Data
Regression
S. Vluymans, H. Asfoor, Y. Saeys, C. Cornelis, M. Tolentino, A. Teredesai,
M. De Cock
in: Proceedings of NAFIPS2015 (Annual Conference of the North
American Fuzzy Information Processing Society), p.153-158, 2015
Fuzzy Rough Set Prototype Selection for Regression
S. Vluymans, Y. Saeys, C. Cornelis, A. Teredesai, M. De Cock
in: Proceedings of FUZZ-IEEE 2015 (2015 IEEE International
Conference on Fuzzy Systems), 2015 Nominated for best student paper award
Computing Fuzzy Rough Set Approximations in Large Scale Information
Systems [PDF]
H. Asfoor, R. Srinivasan, G. Vasudevan, N. Verbiest, C. Cornelis, M.
Tolentino, A. Teredesai, M. De Cock
in: Proceedings of the 2nd Workshop on Scalable Machine Learning - Theory
and Applications, workshop at IEEE BigData2014 (2014 IEEE International
Conference on Big Data), p.9-16, 2014
Prediction of Hospitalization Cost for Childbirth [PDF]
S.-C. Chin, J. Marquardt, R. Liu, M. De Cock
in: Proceedings of HI-KDD 2014 (ACM SIGKDD Workshop on Health
Informatics), workshop at KDD2014 (20th ACM SIGKDD Conference on Knowledge
Discovery and Data Mining), 2014
Decentralized Computation of Pareto Optimal Pure Nash Equilibria of
Boolean Games with Privacy Concerns [PDF]
S. De Clercq, K. Bauters, M. De Cock, A. Nowe, M. Mihaylov, S.
Schockaert
in: Proceedings of ICAART 2014 (6th International Conference on Agents and
Artificial Intelligence), Vol.2, p.50-59, 2014 Nominated for best student paper award
Using Answer Set Programming for Solving Boolean Games
S. De Clercq, M. De Cock, K. Bauters, S. Schockaert, A. Nowe
in: Proceedings of KR 2014 (14th International Conference on Principles of
Knowledge Representation and Reasoning), p.602-605, 2014
Possibilistic Boolean Games: Strategic Reasoning under Incomplete
Information [PDF]
S. De Clercq, S. Schockaert, M. De Cock, A. Nowe
in: Proceedings of JELIA2014 (14th European Conference on Logics
in Artificial Intelligence), p.196-209, 2014
Extending PSL with Fuzzy Quantifiers
G. Farnadi, S.H. Bach, M.-F. Moens, L. Getoor, M. De Cock
in: Proceedings of StarAI2014 (4th International Workshop in Statistical
Relational AI), workshop at AAAI2014 (28th Conference on Artificial
Intelligence), p.35-37, 2014
How are you doing? Emotions and Personality in Facebook
G. Farnadi, G. Sitaraman, M. Rohani, M. Kosinski, D. Stillwell, M.-F. Moens, S. Davalos, M. De Cock
in: Proceedings of EMPIRE2014 (2nd Workshop on "Emotions and Personality in Personalized Services"), workshop at UMAP2014 (22nd Conference on User Modelling, Adaptation and Personalization), p.45-56, 2014
A Multivariate Regression Approach to Personality Impression Recognition of Vloggers
G. Farnadi, S. Sushmita, G. Sitaraman, N. Ton, M. De Cock, S. Davalos
in: Proceedings of WCPR14 (Workshop on Computational Personality Recognition), workshop at ACMMM2014 (22nd ACM International Conference on Multimedia), 2014
Age and Gender Identification in Social Media
J. Marquardt, G. Farnadi, G. Vasudevan, M.-F. Moens, S. Davalos, A. Teredesai, M. De Cock
in: CLEF 2014 Working Notes proceedings (5th Conference and Labs of the
Evaluation Forum), 2014
HealthSCOPE: An Interactive Distributed Data Mining Framework for
Scalable Prediction of Healthcare Costs
J. Marquardt, S. Newman, D. Hattarki, R. Srinivasan, S. Sushmita, P. Ram,
V. Prasad, D. Hazel, A. Ramesh, M. De Cock, A. Teredesai
in: Proceedings of ICDM2014 (IEEE International Conference on
Data Mining), demo track, 2014
Repairing Inconsistent Taxonomies Using MAP Inference and Rules of
Thumb
E. Merhej, S. Schockaert, M. De Cock, M. Blondeel, D. Alfarone, J.
Davis
in: Proceedings of Web-KR2014 (5th International Workshop on Web-scale
Knowledge Representation Retrieval & Reasoning), workshop at CIKM 2014
(2014 ACM International Conference on Information and Knowledge
Management), p.31-36, 2014
A Finite-Valued Solver
for Disjunctive Fuzzy Answer Set Programs [PDF]
Mushthofa, S. Schockaert, M. De Cock in: Proceedings of ECAI2014 (21st
European Conference on Artificial Intelligence), p.645-650, 2014
Answer Set Programs with Optional Rules: a Possibilistic Approach
K. Bauters, S. Schockaert, M. De Cock, D. Vermeir
in: Proceedings of WL4AI 2013 (IJCAI-2013 Workshop on Weighted Logics for AI), p.2-9, 2013
The Microsoft Academic Search Dataset and KDD Cup 2013
S. Basu Roy, M. De Cock, V. Mandava, S. Savvana, B. Dalessandro, C. Perlich, W. Cukierski, B. Hamner
in: Proceedings of KDD Cup 2013, workshop at KDD2013 (19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining), 2013
Related Microsoft Research Connections blog post: Data mining competition takes center stage in Chicago
Relating Fuzzy Autoepistemic Logic to Fuzzy Modal Logics of Belief
M. Blondeel, T. Flaminio, L. Godo, M. De Cock
in: Proceedings of WL4AI 2013 (IJCAI-2013 Workshop on Weighted Logics for AI), p.18-25, 2013
Local Search and Restart Strategies for Satisfiability Solving in Fuzzy Logics
T. Brys, M. Drugan, P. A. N. Bosman, M. De Cock, A. Nowe
in: Proceedings of SSCI2013 (2013 IEEE Symposium Series on Computational Intelligence), p.52-59, 2013
Solving Satisfiability in Fuzzy Logics by Mixing CMA-ES
T. Brys, M. Drugan, P. A. N. Bosman, M. De Cock, A. Nowe
in: Proceedings of GECCO2013 (Genetic and Evolutionary Computation Conference), p.1125-1132, 2013 Best paper award in the combined IGEC/ESEP/BIO track
Modeling Stable Matching Problems with Answer Set Programming
S. De Clercq, S. Schockaert, M. De Cock, A. Nowe
in: Proceedings of RuleML2013 (7th International Web Rule Symposium), Lecture Notes in Computer Science 8035, p.68-83, 2013
The Microsoft Academic Search Challenges at KDD Cup 2013 [PDF]
M. De Cock, S. Basu Roy, S. Savvana, V. Mandava, B. Dalessandro, C. Perlich, W. Cukierski, B. Hamner
in: Proceedings of SBD2013 (Scholarly Big Data 2013), workshop at IEEE BigData 2013 (2013 IEEE International Conference on Big Data), p.1-4, 2013.
Recognising Personality Traits using Facebook Status Updates
G. Farnadi, S. Zoghbi, M.-F. Moens, M. De Cock
in: Proceedings of WCPR13 Workshop on Computational Personality
Recognition at ICWSM13 (7th International AAAI Conference on Weblogs and
Social Media), p.14-18, 2013
Five Languages are Better than One: an Attempt to Bypass the Data Acquisition Bottleneck for WSD
E. Lefever, V. Hoste, M. De Cock
in: Proceedings of CICLing-2013 (14th International Conference on Intelligent Text Processing and Computational Linguistics), Part I, Lecture Notes in Computer Science 7816, Springer-Verlag,
p. 343-354, 2013 Best paper award, third place
Possible and Necessary Answer Sets of Possibilistic Answer Set Programs
K. Bauters, S. Schockaert, M. De Cock, D. Vermeir
in: Proceedings of ICTAI2012 (24th IEEE International Conference on Tools with Artificial Intelligence), p.836-843, 2012
NP-completeness of Fuzzy Answer Set Programming under Lukasiewicz Semantics [PDF]
M. Blondeel, S. Schockaert, M. De Cock, D. Vermeir
in: Proceedings of WL4AI (ECAI 2012 Workshop on Weighted Logics for AI), p.43-50, 2012
Solving Satisfiability in Fuzzy Logics with Evolution Strategies
T. Brys, Y.-M. De Hauwere, M. De Cock, Ann Nowe
in: Proceedings of NAFIPS2012 (31st Annual Meeting of North American Fuzzy Information Processing Society), p.1-6. 2012 Best student paper award
Discovering Missing Wikipedia Inter-language Links by means of Cross-lingual Word Sense Disambiguation
E. Lefever, V. Hoste, M. De Cock
in: Proceedings of LREC2012 (8th International Conference on Language Resources and Evaluation), p. 841-846, 2012
SBFC: An Efficient Feature Frequency-based Approach to Tackle Cross-Lingual Word Sense Disambiguation
D. Mourisse, E. Lefever, N. Verbiest, Y. Saeys, M. De Cock, C. Cornelis
in: Proceedings of TSD2012 (15th International Conference on Text, Speech and Dialogue), p. 248-255, 2012
Weak and Strong Disjunction in Possibilistic ASP [PDF]
K. Bauters, S. Schockaert, M. De Cock, D. Vermeir
in: Proceedings of SUM2011 (5th International Conference on Scalable Uncertainty Management), Lecture Notes in Computer Science 6929, p.475-488, 2011
Complexity of Fuzzy Answer Set Programming under Lukasiewicz Semantics: First Results [PDF]
M. Blondeel, S. Schockaert, M. De Cock, D. Vermeir
in: Poster Proceedings of SUM2011 (5th International Conference on Scalable Uncertainty Management), p.7-12, 2011
Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees [PDF]
M. Blondeel, S. Schockaert, M. De Cock, D. Vermeir
in: Proceedings of ECSQARU 2011 (11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty), Lecture Notes in Computer Science 6717, p.616-627, 2011
ParaSense or how to use Parallel Corpora for Word Sense Disambiguation [PDF]
E. Lefever, V. Hoste, M. De Cock
in: Proceedings of ACL-HLT2011 (49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies), p.317-322, 2011
Communicating ASP and the Polynomial Hierarchy [PDF]
K. Bauters, S. Schockaert, D. Vermeir, M. De Cock
in: Proceedings of LPNMR-11 (11th International Conference on Logic Programming and Nonmonotonic Reasoning), Lecture Notes in Artificial Intelligence 6645, p.67-79, 2011
Diversification of Search Results as a Fuzzy Satisfiability Problem [PDF]
S. Schockaert, M. De Cock
in: Proceedings of DDR2011 (workshop on Diversity in Document Retrieval at ECIR2011), p.47-54, 2011
Possibilistic Answer Set Programming Revisited [PDF]
K. Bauters, S. Schockaert, M. De Cock, D. Vermeir
in: Proceedings of UAI2010 (26th Conference on Uncertainty in Artificial Intelligence), 2010
Communicating Answer Set Programs [PDF]
K. Bauters, S. Schockaert, J. Janssen, D. Vermeir, M. De Cock
in: Proceedings of ICLP2010 (26th International Conference on Logic Programming), p. 34-43, 2010
Towards Possibilistic Fuzzy Answer Set Programming [PDF]
K. Bauters, S. Schockaert, J. Janssen, D. Vermeir, M. De Cock
in: Proceedings of NMR2010 (13th international workshop on Non-Monotonic Reasoning), 2010
A RapidMiner Framework for Protein Interaction Extraction
T. Fayruzov, G. Dittmar, N. Spence, M. De Cock, A. Teredesai
in: Proceedings of RCOMM2010 (RapidMiner Community Meeting), p.58-63, 2010
Extending Boolean Regulatory Network Models with Answer Set Programming
T. Fayruzov, J. Janssen, C. Cornelis, D. Vermeir, M. De Cock
in: Proceedings of IDASB (workshop on Integrative Data Analysis in Systems Biology at BIBM2010), 2010
Efficient Solving of Time-Dependent Answer Set Programs
T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock
in: Proceedings of ICLP2010 (26th International Conference on Logic Programming), p. 64-73, 2010
Born to Trade: a Genetically Evolved Keyword Bidder for Sponsored Search [PDF]
M. Munsey, J. Veilleux, S. Bikkani, A. Teredesai, M. De Cock
in: Proceedings of IEEE CEC at WCCI2010 (2010 IEEE World Congress on Computational Intelligence), 2010
Ranking Approaches for Microblog Search [PDF]
R. Nagmoti, A. Teredesai, M. De Cock
in: Proceedings of WI2010 (2010 IEEE/WIC/ACM International Joint Conference on Web Intelligence), p.153-157, 2010
Bilattice-Based Aggregation Operators for Gradual Trust and Distrust
P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
in: Proceedings of FLINS2010 (9th International FLINS Conference
on Foundations and Applications of Computational Intelligence), p.505-510, 2010
Modeling Protein Interaction Networks with Answer Set Programming [PDF]
T. Fayruzov, M. De Cock, C. Cornelis, D. Vermeir
in: Proceedings of BIBM2009 (IEEE International Conference
on Bioinformatics and Biomedicine), p.99-105, 2009
An Evolved Fuzzy Logic System for Fire Size Prediction
A. Fowler, A. Teredesai, M. De Cock
in: Proceedings of NAFIPS 2009 (28th North American Fuzzy Information Processing Society Annual Conference), p.197-202, 2009
General Fuzzy Answer Set Programs
J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
in: Proceedings of WILF 2009 (8th International Workshop on Fuzzy Logic and Applications), p. 352-359, 2009
Fuzzy Answer Set Programming with Literal Preferences
J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
in: Proceedings of IFSA-EUSFLAT 2009 (Joint 13th IFSA World Congres and 6th Conference of EUSFLAT), p. 1347-1352, 2009
Fuzzy Ants Clustering for Web People Search
E. Lefever, T. Fayruzov, V. Hoste, M. De Cock
in: Proceedings of WePS2 (2nd Web People Search Evaluation Workshop), workshop at WWW2009 (18th International World Wide Web Conference), 2009
Answer Sets in a Fuzzy Equilibrium Logic
S. Schockaert, J. Janssen, D. Vermeir, M. De Cock
in: Proceedings of RR2009 (3rd International Conference on Web Reasoning and Rule Systems), Lecture Notes in Computer Science 5837, p. 135-149, 2009
Finite Satisfiability in Infinite-Valued Lukasiewicz Logic
S. Schockaert, J. Janssen, D. Vermeir, M. De Cock
in: Proceedings of SUM2009 (3rd International Conference on Scalable Uncertainty Management), Lecture Notes in Computer Science 5785, p. 240-254, 2009
Aggregation of Gradual Trust and Distrust
P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
in: Proceedings of EUROFUSE09 (EUROFUSE Workshop Preference Modelling and Decision Analysis), p. 259-264, 2009
Trust- and Distrust-Based Recommendations for Controversial Reviews [PDF]
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
in: Proceedings of WebSci'09 - Society On-line (2009 Web Science Conference), 2009
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
in: Proceedings of ICWSM2009 (3rd International AAAI Conference on Weblogs and Social Media), p. 342-345, 2009
DEEPER: a Full Parsing Based Approach to Protein Relation Extraction
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: Lecture Notes in Computer Science 4973, Proceedings of EvoBio 2008 (6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics), p. 36-47, 2008
Exploiting Grammatical Relations for Protein Relation Extraction and Role Labeling
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: Proceedings of DIR 2008 (2008 Dutch Belgian Information Retrieval Workshop), p. 37-44, 2008
The Role of Syntactic Features in Protein Interaction Extraction
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: Proceedings of DTMBIO08 (ACM 2nd International Workshop of Data and Text Mining Methods in Bioinformatics), workshop at the ACM 17th Conference on Information and Knowledge Management (CIKM2008), p.61-68, 2008
Fuzzy Argumentation Frameworks
J. Janssen, M. De Cock, D. Vermeir
in: Proceedings of IPMU 2008 (12th International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems), p. 513-520, 2008
Compiling fuzzy answer set programs to fuzzy propositional theories
J. Janssen, S. Heymans, D. Vermeir, M. De Cock
in: Proceedings of ICLP2008 (24th International Conference on Logic Programming), p. 362-376, 2008
Modelling Nearness and Cardinal Directions Between Fuzzy Regions
S. Schockaert, M. De Cock, E. E. Kerre
in: Proceedings of FUZZ-IEEE at WCCI2008 (2008 IEEE World Congress on Computational Intelligence), p.1548-1555, 2008
Acquiring Vague Temporal Information from the Web
S. Schockaert, M. De Cock, E. E. Kerre
in: Proceedings of WI-IAT Workshops 2008 (IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology), p. 265-268, 2008
Whom Should I Trust? The Impact of Key Figures on Cold Start Recommendations
P. Victor, C. Cornelis, A. Teredesai, M. De Cock
in: Proceedings of ACM SAC 2008 (2008 ACM Symposium on Applied Computing), p. 2014-2018, 2008
Getting Cold Start Users Connected in a Recommender System's Trust Network
P. Victor, M. De Cock, C. Cornelis, A. Teredesai
in: Computational Intelligence in Decision and Control (D. Ruan, J. Montero, J. Lu, L. Martinez, P. D'hondt, E. E. Kerre, eds.), World Scientific, p.877-882, 2008
Vaguely Quantified Rough Sets
C. Cornelis, M. De Cock, A. Radzikowska
in: Lecture Notes in Computer Science 4482, Proceedings of JRS2007 (2007 Joint Rough Set Symposium), p. 87-94, 2007
Selection of Web Services with Imprecise QoS Constraints [PDF]
M. De Cock, S. Chung, O. Hafeez
in: Proceedings of WI-2007 (2007 IEEE/WIC/ACM International Joint Conference on Web Intelligence), p.535-541, 2007
Reasoning about Vague Topological Information
S. Schockaert, M. De Cock
in: Proceedings of CIKM2007 (ACM 16th Conference on Information and Knowledge Management), p.593-602, 2007
Neighborhood Restrictions in Geographic IR [PDF]
S. Schockaert, M. De Cock
in: Proceedings of SIGIR2007 (30th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval), p. 167-174, 2007
Qualitative Temporal Reasoning about Vague Events [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
in: Proceedings of IJCAI'07 (20th International Joint Conference on Artificial Intelligence), p. 569-574, 2007
Computing Fuzzy Answer Sets Using dlvhex
D. Van Nieuwenborgh, M. De Cock, D. Vermeir
in: Proceedings of ICLP2007 (23th International Conference on Logic Programming), p. 449-450, 2007
Supporting temporal question answering: strategies for offline data
collection [PDF]
D. Ahn, S. Schockaert, M. De Cock, E. E. Kerre
in: Proceedings of ICoS-5 (5th International Workshop on Inference in Computational Semantics), 2006
Fuzzy Spatial Relations between Vague Regions [PDF]
S. Schockaert, C. Cornelis, M. De Cock, E. E. Kerre
in: Proceedings of the 3rd IEEE International Conference on Intelligent Systems (IEEE IS 2006), p. 221-226, 2006
Towards Fuzzy Spatial Reasoning in Geographic IR Systems [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
in: Proceedings of GIR06 (Workshop on Geographic Information Retrieval), Workshop at SIGIR2006 (29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval), p. 34-36, 2006
An Efficient Characterization of Fuzzy Temporal Interval Relations [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
in: Proceedings of the 2006 World Congres on Computational Intelligence, p. 9026-9033, 2006
Reflections on Modelling Vagueness in Description Logics
S. Schockaert, P. Victor, G.J. Houben, C. Cornelis, M. De Cock, E. Kerre
in: Proceedings of Uncertainty Reasoning for the Semantic Web (URSW2006), Workshop at the 5th International Semantic Web Conference, 2006
Enhanced Recommendations Through Propagation of Trust and Distrust [PDF]
P. Victor, C. Cornelis, M. De Cock
in: Proceedings of Adaptation and Personalisation for e-Business Intelligence, Workshop at the IEEE/ACM/WI Conference on Web Intelligence, p. 263-266, 2006
Towards a Provenance-Preserving Trust Model in Agent Networks [PDF]
P. Victor, M. De Cock, C. Cornelis, P. Pinheiro da Silva
in: Proceedings of Models of Trust for the Web (MTW'06),
Workshop at the 15th International World Wide Web Conference (WWW2006), ISBN 085432853X, 2006
Fuzzy Rough Set Based Web Query Expansion [PDF]
M. De Cock, C. Cornelis
in: Proceedings of Rough Sets and Soft Computing in
Intelligent Agent and Web Technology, International Workshop at
WIIAT2005 (2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence
and Intelligent Agent Technology), p. 9-16, 2005
Intuitionistic Fuzzy Relational Images
[PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Computational Intelligence for Modelling and
Predictions (S. K. Halgamuge, L. Wang, eds.),
Studies in Computational Intelligence 2, Springer-Verlag,
p. 129-146, 2005
Representing Reliability and Hesitation in Possibility Theory: A
General Framework
C. Cornelis, M. De Cock, E. E. Kerre
in: Applications and Science in Soft Computing (A. Lotfi, J. M.
Garibaldi, eds.), Advances in Soft Computing , Springer-Verlag, p.
127-132, 2004
A Clear View on Quality Measures for Fuzzy Association Rules
M. De Cock, C. Cornelis, E. E. Kerre
in: Proceedings of FSSCEF 2004 (International Conference on Fuzzy
Sets and Soft Computing in Economics and Finance), p. 54-61,
2004
Fuzzy Rough Sets: Beyond the Obvious
[PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Proceedings of FUZZ-IEEE2004 (2004 IEEE International
Conference on Fuzzy Systems), Volume 1, p. 103-108, 2004
Efficient Clustering with Fuzzy Ants
[PDF]
S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
in: Applied Computational Intelligence
(D. Ruan, P. D'hondt, M. De Cock, M. Nachtegael, E. E. Kerre, eds.),
World Scientific, p. 195-200, 2004
Fuzzy Association Rules: a Two-Sided Approach [PDF]
M. De Cock, C. Cornelis, E. E. Kerre
in: Proceedings of FIP2003 (International Conference on Fuzzy
Information processing: Theories and Applications), p. 385-390, 2003
Linguistic Hedges in an Intuitionistic Fuzzy Setting
C. Cornelis, M. De Cock, E. E. Kerre
in: Proceedings of FSKD'02 (1st International Conference on Fuzzy
Systems and Knowledge Discovery), Volume I, p. 101-105, 2002
Assessing Degrees of Possibility and Certainty within an Unreliable
Environment
C. Cornelis, M. De Cock, E. E. Kerre
in: Proceedings of RASC2002 (4th International Conference on Recent
Advances in Soft Computing), p. 194-199 (CD-ROM), 2002
Intuitionistic Fuzzy Relational Calculus: an Overview
C. Cornelis, G. Deschrijver, M. De Cock, E. E. Kerre
in: Proceedings of IS'2002 (First International IEEE Symposium
Intelligent Systems), Volume I, p. 340-345, 2002
A Fuzzy-Rough Approach to the Representation of Linguistic Hedges
M. De Cock, A. Radzikowska, E. E. Kerre
in: Technologies for Constructing Intelligent Systems I (B.
Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R. R. Yager,
eds.), Studies in Fuzziness and Soft Computing 89, Springer-Verlag,
p. 33-42, 2002
A Fuzzy Set Theoretical Approach to the Automatic Generation of
Absenteeism Analyses in Natural Language [PDF]
N. du Bois, M. De Cock, E. E. Kerre, R. Babu ka
in: Proceedings of IPMU 2002 (9th International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems), Volume III, p. 1961-1968, 2002
Fuzzy Set Theory: a Useful Interlingua?
C. Cornelis, M. De Cock, D. Botteldooren, E. E. Kerre
in: Knowledge-Based Intelligent Information Engineering Systems &
Allied Technologies (N. Baba, L.C. Jain, R.J. Howlett, eds.),
Frontiers in Artificial Intelligence and Applications 69,
IOS Press, p. 1137-1141, 2001
Fuzzy Hedges: a Next Generation [PDF]
M. De Cock
in: Proceedings of the ESSLLI 2001 Student Session (13th European
Summer School in Logic, Language and Information), p. 59-70, 2001
The Representation of Linguistic Hedges using Fuzzy Relational
Calculus
M. De Cock, E. E. Kerre
in: Proceedings of Joint 9th IFSA World Congres and 20th NAFIPS
International Conference, Vol. 3, p. 1608-1613, 2001
Approximate Equality is no Fuzzy Equality [PDF]
M. De Cock, E. E. Kerre
in: Proceedings of EUSFLAT2001 (International Conference European
Society for Fuzzy Logic and Technology), p. 369-371, 2001
Modelling Linguistic Hedges by L-Fuzzy Modifiers
M. De Cock, Zabokrstky, E. E. Kerre
in: Proceedings of CIMCA'2001 (International
Conference on Computational Intelligence for Modelling Control and
Automation), p. 64-72 (CD-ROM), 2001
Soft Computing Techniques for Speech Recognition
M. Nachtegael, M. De Cock, E. E. Kerre
in: Proceedings of CBGIST'2001 (Atlantic Symposium
on Computational Biology and Genome Information Systems and
Technology), Association for Intelligent Machinery Inc., p. 205-209,
2001
Fuzzy Relational Images in Computer Science
M. Nachtegael, M. De Cock, D. Van Der Weken, E. E. Kerre
in: Proceedings of RELMICS'6 (6th International Workshop on
Relational Methods in Computer Science), p. 156-170, 2001
Modelling Linguistic Expressions Using Fuzzy Relations
M. De Cock, U. Bodenhofer, E. E. Kerre
in: Proceedings IIZUKA2000 (6th International
Conference on Soft Computing), (CD-ROM), p. 353-360, 2000
A New Class of Fuzzy Modifiers
M. De Cock, E. E. Kerre
in: Proceedings of ISMVL2000 (30th IEEE International Symposium on
Multiple-Valued Logic), IEEE Computer Society, p. 121-126,
2000
Modelling Linguistic Modifiers Using Fuzzy-Rough Structures
M. De Cock, A. Radzikowska, E. E. Kerre
in: Proceedings of IPMU 2000 (8th International Conference on
Information Processing and Management of Uncertainty in
Knowledge-Based Systems), Volume III, p. 1735-1742, 2000
Images under Fuzzy Relations : a Master-Key to Fuzzy Applications
M. De Cock, M. Nachtegael, E. E. Kerre
in: Intelligent Techniques and Soft Computing in Nuclear Science and
Engineering (D. Ruan, H. A. Abderrahim, P. D hondt, E. E. Kerre,
eds.), World Scientific, p. 47-54, 2000
Representing the Adverb Very in Fuzzy Set Theory
M. De Cock
in: Proceedings of the ESSLLI99 Student Session (11th European
Summer School in Logic, Language and Information), (Amalia
Todirascu, ed.), p. 223-232, 1999
Abstracts/Editorials/Posters
Predicting Time to Pushback of Flights in U.S. Airports [PDF]
D. Filienko, Y. Lin, K. Robison, T. Tomlin, M. De Cock
in: KDD 2023 Undergraduate Consortium
Secure Multiparty Computation for Synthetic Data Generation from Distributed Data [PDF]
M. Pereira, S. Pentyala, A. Nascimento, R. T. de Sousa Jr., M. De Cock
in: SyntheticData4ML workshop at NeurIPS2022
Early Detection of Sexual Predators with Federated Learning [OpenReview]
K. Chehbouni, G. Caporossi, R. Rabbany, M. De Cock, G. Farnadi
in: International Workshop on Federated Learning: Recent Advances and New Challenges
in Conjunction with NeurIPS 2022 (FL-NeurIPS'22)
Towards Private and Fair Federated Learning [arXiv]
S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi
in: Women in Machine Learning (WiML) workshop at NeurIPS2022
Mitigating Online Grooming with Federated Learning
K. Chehbouni, G. Farnadi, R. Rabbany, G. Caporossi, M. De Cock
in: Women in Machine Learning (WiML) workshop at NeurIPS2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning [arXiv]
S. Pentyala, N. Neophytou, A. Nascimento, M. De Cock, G. Farnadi
in: Montreal AI Symposium (MAIS) 2022
Mitigating Online Grooming with Federated Learning
K. Chehbouni, G. Farnadi, R. Rabbany, G. Caporossi, M. De Cock
in: Montreal AI Symposium (MAIS) 2022
PrivFair: a Library for Privacy-Preserving Fairness Auditing
[arXiv]
S. Pentyala, D. Melanson, M. De Cock, G. Farnadi
in: AAAI-22 Workshop on Privacy-Preserving Artificial Intelligence, 2022
Private Emotion Recognition with Secure Multiparty Computation
[PDF][arXiv]
K. Bittner, M. De Cock, R. Dowsley
in: AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence, 2021
Private Video Classification with Secure Multiparty Computation
[poster]
S. Pentyala, M. De Cock, R. Dowsley
in: Women in Computer Vision Workshop at CVPR, 2021
Malicious DNS Tunneling Detection in Real-Traffic DNS Data [PDF]
D. Lambion, M. Josten, F. Olumofin, M. De Cock
in: Proceedings of IEEE BigData2020 (2020 IEEE International Conference on Big Data), p.5736-5738, 2020
Secure Training of Extra Trees Classifiers over Continuous Data
C. A. Choudhary, M. De Cock, R. Dowsley, A. Nascimento, D. Railsback
in: AAAI-20 Workshop on Privacy-Preserving Artificial Intelligence, 2020
Hardening DGA Classifiers Utilizing IVAP [PDF]
C. Grumer, J. Peck, F. Olumofin, A. Nascimento, M. De Cock
in: Proceedings of IEEE BigData2019 (2019 IEEE International Conference on Big Data), p.6063-6065, 2019
High Performance Privacy Preserving Logistic Regression For High Dimensional Gene Data
M. De Cock, R. Dowsley, A. Nascimento, D. Railsback, J. Shen, A. Todoki
in: iDASH Privacy & Security Workshop 2019
Secret Sharing based Private Text Classification
M. De Cock, R. Dowsley, A. Nascimento, D. Reich, A. Todoki
in: Privacy Preserving Machine Learning (PPML'19) - CCS 2019 Workshop, 2019
Privacy Preserving Screening of Personal Documents
D. Reich, M. De Cock, A. Nascimento
in: 22nd Annual Undergraduate Research Symposium, UW, 2019
An Evaluation of DGA Classifiers
R. Sivaguru, C. Choudhary, B. Yu, V. Tymchenko, A. Nascimento, M. De Cock
in: Women in CyberSecurity (WiCyS), 2019
Privacy-Preserving Linear Regression for Brain-Computer Interface Applications [PDF]
A. Agarwal, R. Dowsley, N. D. McKinney, D. Wu, C.-T. Lin, M. De Cock, A. Nascimento
in: Proceedings of IEEE BigData2018 (2018 IEEE International Conference on Big Data), p. 5260-5261, 2018
Detecting Misogynous Tweets
R. Ahluwalia, E. Shcherbinina, E. Callow, A. Nascimento, M. De Cock
in: Ninth Annual Conference on New Directions in Analyzing Text as Data (TADA 2018), 2018
Privacy-Preserving User Profiling with Facebook Likes [PDF]
S. Bhagat, K. Saminathan, A. Agarwal, R. Dowsley, M. De Cock, A. Nascimento
in: Proceedings of IEEE BigData2018 (2018 IEEE International Conference on Big Data), p. 5281-5282, 2018
Secure Machine Learning with Personal Data
M. De Cock
in: 1st International Conference on Educational Data Mining and Applications, 2017
Efficient Privacy-Preserving Scoring of Decision Trees, SVM and Logistic Regression
Models
M. De Cock, R. Dowsley, C. Horst, R. Katti, A. Nascimento, W.-S. Poon, S. Truex
in: PSML2017 (Private and Secure Machine Learning), workshop at ICML 2017, 2017
Privacy Preserving Machine Learning with EEG Data
M. De Cock, R. Dowsley, N. McKinney, A. Nascimento, D. Wu
in: PSML2017 (Private and Secure Machine Learning), workshop at ICML 2017, 2017
A Word Graph Approach for Dictionary Detection and Extraction in DGA Domain Names
M. Pereira, S. Coleman, M. De Cock, B. Yu, A. Nascimento
in: Machine Learning and Computer Security Workshop, workshop at NIPS 2017, 2017
Training Malicious Domain Name Classifiers with Real, Heuristically Labeled Data [PDF]
B. Yu, D. Gray, M. De Cock, A. Nascimento
in: LLD2017 (Learning with Limited Labeled Data), workshop at NIPS 2017, 2017
Sequence Based Prediction of Hospital Readmissions [PDF]
S. Agrawal, C.P. Hon, S. Garg, A. Sampath, S. Sushmita, M. De Cock
in: Proceedings of ACM BCB 2016 (5th ACM International Conference on
Bioinformatics, Computational Biology, and Health Informatics), p.489-490,
2016
Fuzzy Answer Set Programming: from Theory to Practice
M. De Cock
in: Proceedings of NAFIPS2016 (Annual Conference of the North American Fuzzy
Information Processing Society), 2016
Fast, Privacy Preserving Linear Regression over Distributed Datasets based
on Pre-Distributed Data
M. De Cock, R. Dowsley, A. C. A. Nascimento, S. C. Newman
in: PMPML'16 (Private Multi-Party Machine Learning), workshop at NIPS (30th Annual Conference on Neural Information
Processing Systems), 2016
Risk Stratification for Hospital Readmission of Heart Failure
Patients: A Machine Learning Approach [PDF]
C.P. Hon, M. Pereira, S. Sushmita, A. Teredesai, M. De Cock
in: Proceedings of ACM BCB 2016 (5th ACM International Conference on
Bioinformatics, Computational Biology, and Health Informatics), p.491-492,
2016
Machine Learning Models for Surgical Site Infection Prediction [PDF]
P. Mandagani, S. Coleman, A. Zahid, A. Pugel Ehlers, S. Basu Roy, M. De
Cock
in: AMIA KDDM-WG Symposium (American medical Informatics Association Knowledge Discovery and Data Mining Working
Group), 2016 2nd place in 2016 AMIA KDDM-WG competition
Network-based Prediction of Cancer Drug Response
M. Mushthofa, M. De Cock, K. Marchal
in: Posters of ECCB2016 (European Conference in Computational Biology),
2016
On a graded version of "only knowing" and its relation to fuzzy autoepistemic logic and fuzzy modal logics
M. Blondeel, T. Flaminio, S. Schockaert, Ll. Godo, M. De Cock
in: Proceedings of 35th Linz Seminar on Fuzzy Set Theory, p.22-24, 2014
A Distributed Machine Learning Framework for Multi-Factor Healthcare
Cost Prediction
M. De Cock, A. Teredesai, P. Ram, D. Hazel, J. Marquardt, R. Velamur, S.
Basu Roy, V. Prasad
in: Proceedings of W3PHI-2014 (the 1st AAAI Workshop on World Wide Web and
Public Health Intelligence), workshop at AAAI2014, 2014
Towards a Deeper Understanding of Nonmonotonic Reasoning with Degrees
M. Blondeel, S. Schockaert, D. Vermeir, M. De Cock
in: Proceedings of IJCAI2013 (23th International Joint Conference on
Artificial Intelligence), p.3205-3206, 2013
Solving Satisfiability in Fuzzy Logics by Mixing CMA-ES
T. Brys, M.M. Drugan, P.A.N. Bosman, M. De Cock, A. Nowe
in: Proceedings of BNAIC2013 (25th BENELUX Conference on Artificial Intelligence), 2013
How well do your Facebook status updates express your personality?
G. Farnadi, S. Zoghbi, M.-F. Moens, M. De Cock
in: Proceedings of BENELEARN2013 (22nd annual Belgian-Dutch Conference on Machine Learning), 2013
Complexity of Infinitely Valued Lukasiewicz Possibilistic Modal Logics
M. Blondeel, M. De Cock, T. Flaminio
in: Book of Abstracts of UniLog 2013 (4th World Congress and School on Universal Logic), p.112-113, 2013
Solving Satisfiability in Fuzzy Logics with Evolution Strategies
T. Brys, Y.-M. De Hauwere, M. De Cock, A. Nowe
in: Proceedings of BNAIC2012 (24th BENELUX Conference on Artificial Intelligence), 2012
Crawling a Ground Truth Dataset for Ad Personalization
G. Farnadi, S. Zoghbi, M.-F. Moens, M. De Cock
in: Abstracts of LTCI2012 (5th AUGent Workshop on Language Technology and
Computational Intelligence), p.7, 2012
An ASP-based Simulation Method for Finding all Synchronous and Asynchronous Attractors in Genetic Regulatory Networks
G. Torres, K. Marchal, Y. Van de Peer, M. De Cock
in: 8th Student Council Symposium of ISCB (International Society for Computational Biology), 2012
Predicting Long Term Behavior of Genetic Regulatory Networks with Answer Set
Programming
G. Torres, K. Marchal, Y. Van de Peer, M. De Cock
in: BENELEARN & PMLS 2012 (21st edition of the annual Belgian-Dutch Conference on Machine Learning in conjunction with a workshop on Predictive Modeling for the Life Sciences), 2012
Solving Fuzzy Answer Set Programs
M. De Cock, J. Janssen, S. Schockaert, D. Vermeir
in: WConSC'11 (World Conference on Soft Computing), 2011
Using Parallel Corpora for Word Sense Disambiguation
E. Lefever, V. Hoste, M. De Cock
in: BNAIC2011 (23rd Benelux Conference on Artificial Intelligence), p.407-408, 2011
Filtering Abstracts for Protein Interactions in PRISE
G. Dittmar, T. Fayruzov, M. De Cock, A. Teredesai
in: Annual UW Undergraduate Research Symposium, 2010
Information Extraction in PRISE
T. Fayruzov, M. De Cock, A. Teredesai
in: LTCI2010 (4th AUGent Workshop on Language Technology and Computational Intelligence), p.12, 2010
Augmenting Microblog Search with Social Authority Ranking
R. Nagmoti, A. Teredesai, M. De Cock
in: ISNA2010 (30th International Sunbelt Social Network Conference), 2010
PRISE - a PRotein Interaction Search Engine
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste, R. Hill, S. Lynch, A. Teredesai
in: LTCI2009 (Third AUGent Workshop on Language Technology and Computational Intelligence), 2009
Features for Protein Interaction Extraction: is More Always Better?
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: ATila'08 (Antwerp Tilburg Studies in Language Acquisition Workshop), 2008
Grammatical Structures for Protein Interaction Extraction
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: LTCI2008 (Second AUGent Workshop on Language Technology and Computational Intelligence), p.14, 2008
Solving Fuzzy Answer Set Programs with Fuzzy SAT Solvers
J. Janssen, M. De Cock, D. Vermeir
in: LTCI2008 (Second AUGent Workshop on Language Technology and Computational Intelligence), p.8, 2008
Trust-Based Recommendations for Cold Start Users
P. Victor, C. Cornelis, M. De Cock, A. Teredesai
in: LTCI2008 (Second AUGent Workshop on Language Technology and Computational Intelligence), p.9, 2008
Protein Relation Extraction using Full Parsing Information
T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
in: ATila'07 (Antwerp Tilburg Studies in Language Acquisition Workshop), 2007
Exploiting Vague Spatial Information in Geographic IR
S. Schockaert, M. De Cock, E. E. Kerre
in: DBDBD2006 (Dutch Belgian Database Day), 2006
A Bilattice-based Trust Model for Personalizing Recommendations [PDF]
P. Victor, C. Cornelis, M. De Cock
in: First Research Contact Day of the Computational Intelligence & Learning Doctoral School 2006
Trust Propagation Operators in Social Network Analysis
P. Victor, C. Cornelis, M. De Cock
in: Intelligent Systems for Data Mining and Information Processing, Workshop China-Flanders, Gent, p. 21, 2006
Trust networks in recommender systems
[PDF]
P. Victor, C. Cornelis, M. De Cock
in: ORBEL 20 (The Twentieth Conference on Quantitative Methods for Decision Making), p 78-79, 2006
Extracting, Representing, and Grounding Events for Temporal Question Answering
D. Ahn, S. Schockaert, M. De Rijke, M. De Cock, E. E. Kerre
in: CLIN2005 (16th Meeting of Computational Linguistics in the Netherlands), 2005
Guest Editorial of Special Issue dedicated to the 60th birthday of Etienne E. Kerre
C. Cornelis, M. De Cock
Journal of Intelligent and Fuzzy Systems 16(4), p. 239-303, 2005 (listed in SCI)
Towards Intuitionistic Fuzzy Relational Webs of Trust and Distrust
[PDF]
M. De Cock, P. Pinheiro da Silva
in: Workshop of Intuitionistic Fuzzy Sets and Other Extensions/Applications of Fuzzy Sets, p.15-16, 2005
Reasoning with Fuzzy Time Intervals [PDF]
S. Schockaert, M. De Cock, E. E. Kerre
in: Workshop of Intuitionistic Fuzzy Sets and Other Extensions/Applications of Fuzzy Sets, p.8-9, 2005
Backstage with Support and Confidence in Fuzzy Association Rules
C. Cornelis, M. De Cock
in: On Methods and Applications of Knowledge Discovery to Support Intelligent Business Decisions, Workshop China-Flanders, Hasselt, p.5, 2004
Taxonomies for Fuzzy Association Rules: the Making of
M. De Cock, C. Cornelis
in: On Methods and Applications of Knowledge Discovery to Support Intelligent Business Decisions, Workshop China-Flanders, Hasselt, p.6, 2004
The Need for Fuzzy Association Rules: Myths and Reality
M. De Cock, H. Verlinde
in: DBDBD2004 (Dutch Belgian Database Day), 2004
Performing Region Detection Using Simple Fuzzy Agents
Y. Asfaw, M. Spielberg, E. Madariaga, M. De Cock
in: BISC2003 FLINT-CIBI International Joint
Workshop on Soft Computing for Internet and Bioinformatics, p. 46, 2003
Constructing Fuzzy Thesauri for the WWW
M. De Cock, S. Guadarrama, M. Nikravesh
in: BISC2003 FLINT-CIBI International Joint
Workshop on Soft Computing for Internet and Bioinformatics, p. 67, 2003
Pruning Fuzzy Ontologies
A. Kolobov, D. Kuo, M. De Cock, M. Nikravesh
in: BISC2003 FLINT-CIBI International Joint
Workshop on Soft Computing for Internet and Bioinformatics, p. 67, 2003
Opening and Closure Operators of Fuzzy Preorderings: Basic Properties and Applications to Fuzzy Rule-Based Systems
U. Bodenhofer, M. De Cock, E. E. Kerre
in: Abstracts 21st Linz Seminar on Fuzzy Set Theory, p.29-30, 2000
Linguistic Modifiers: the Horizon Approach [PDF]
M. De Cock, E. E. Kerre
in: Belgium/Fuzzy 2 Workshop, 2000
Rose and TiMBL: a Match Made in Heaven [PDF]
M. De Cock, E. E. Kerre
in: CLIN2000, (16th Meeting of Computational Linguistics in the Netherlands), p. 9, 2000