MARTINE DE COCK

Martine
Professor

Address:
School of Engineering and Technology
University of Washington Tacoma
Campus Box 358426
1900 Commerce Street
Tacoma WA 98402-3100

Phone: +1 253-692-4540
E-mail: mdecock@uw.edu
Office: MDS206E
Research group: https://tacoma.uw.edu/ppml
Responsible Health AI Lab: https://rhail.tacoma.uw.edu

Short biography

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.

Privacy-Preserving Machine Learning

Teaching

Publications

Papers on arXiv:

  1. 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

  2. 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

  1. An End-to-End Framework for Private DGA Detection as a Service [PDF]
    R. Maia, D. Ray, S. Pentyala, R. Dowsley, M. De Cock, A. Nascimento, R. Jacobi
    PLOS ONE 19(8): e0304476 2024

  2. Privacy-Preserving Membership Queries for Federated Anomaly Detection [PDF]
    J. Vos, S. Pentyala, S. Golob, R. Maia, D. Kelley, Z. Erkin, M. De Cock, A. Nascimento
    Proceedings on Privacy Enhancing Technologies (PoPETS) 2024(3), p. 186-201, 2024

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. Linguistic Feature Analysis for Protein Interaction Extraction [HTML]
    T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
    BMC Bioinformatics 10:374, 2009

  36. Efficient Algorithms for Fuzzy Qualitative Temporal Reasoning [PDF]
    S. Schockaert, M. De Cock
    IEEE Transactions on Fuzzy Systems 17(4), p. 794-808, 2009

  37. Spatial Reasoning in a Fuzzy Region Connection Calculus [PDF]
    S. Schockaert, M. De Cock, E. E. Kerre
    Artificial Intelligence 173, p. 258-298, 2009

  38. 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

  39. Temporal Reasoning about Fuzzy Intervals [PDF]
    S. Schockaert, M. De Cock
    Artificial Intelligence 172, p. 1158-1193, 2008

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. Imprecise Temporal Interval Relations [PDF]
    S. Schockaert, M. De Cock, E. E. Kerre
    Lecture Notes in Artificial Intelligence 3849, p.108-113, 2006

  51. Fuzzy Answer Set Programming [PDF]
    D. Van Nieuwenborgh, M. De Cock, D. Vermeir
    Lecture Notes in Computer Science 4160, p.359-372, 2006

  52. 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

  53. 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

  54. Relatedness of Fuzzy Sets [PDF]
    S. Schockaert, M. De Cock, C. Cornelis
    Journal of Intelligent and Fuzzy Systems 6(4), p.297-303, 2005

  55. Automatic Acquisition of Fuzzy Footprints [PDF]
    S. Schockaert, M. De Cock, E. E. Kerre
    Lecture Notes in Computer Science 3762, p.1077-1086, 2005

  56. Fuzzy Constraint Based Answer Validation [PDF]
    S. Schockaert, M. De Cock, E. E. Kerre
    Lecture Notes in Computer Science 3528, p.394-400, 2005

  57. 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

  58. Fuzzy Modifiers Based on Fuzzy Relations [PDF]
    M. De Cock, E. E. Kerre
    Information Sciences 160, p.173-199, 2004

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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)

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

Books

  1. Answer Set Programming for Continuous Domains: a Fuzzy Logic Approach
    J. Janssen, S. Schockaert, D. Vermeir, M. De Cock
    Atlantis Computational Intelligence Systems, Vol. 5, Atlantis Press, 2012

  2. Trust Networks for Recommender Systems
    P. Victor, C. Cornelis, M. De Cock
    Atlantis Computational Intelligence Systems, Vol. 4, Atlantis Press, 2011

  3. Reasoning about Fuzzy Temporal and Spatial Information from the Web
    S. Schockaert, M. De Cock, E. E. Kerre
    Intelligent Information Systems, Vol. 3, World Scientific, 2010

Edited books

  1. 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

  2. Proceedings of the 8th Belgian-Dutch Information Retrieval Workshop (DIR 2008)
    E. Hoenkamp, M. De Cock, V. Hoste, eds., 2008

  3. 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)

  4. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  1. Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
    K. Chehbouni, M. De Cock, G. Caporossi, A. Taik, R. Rabbany, G. Farnadi
    To appear in: 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025

  2. Privacy Vulnerabilities in Marginals-based Synthetic Data [arXiv]
    S. Golob, S. Pentyala, A. Maratkhan, M. De Cock
    To appear in: IEEE Secure and Trustworthy Machine Learning Conference (SaTML), 2025

  3. Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy [PDF]
    D. Filienko, Y. Wang, C. El Jazmi, S. Xie, T. Cohen, M. De Cock, W. Yuwen
    To appear in: American Medical Informatics Association (AMIA) Annual Symposium, 2024

  4. CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources [PDF]
    S. Pentyala, M. Pereira, M. De Cock
    in: 41st International Conference on Machine Learning (ICML), PMLR 235, p. 40397-40413, 2024

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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.

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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

  103. 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

  104. 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

  105. 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

  106. 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

  107. 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

  108. 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

  109. 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

  110. 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

  111. 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

  112. 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

  113. 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

  114. 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

  115. 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

  116. 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

  117. 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

  118. 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

  119. 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

  120. 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

  121. 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

  122. 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

  123. 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

  124. 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

  125. 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

  126. 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

  127. 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

  128. 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

  129. 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

  130. 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

  131. 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

  132. 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

  133. 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

  134. 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

  135. 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

  136. 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

  1. Transforming Tuberculosis Care: Optimizing Large Language Models for Enhanced Clinician-Patient Communication [arXiv]
    D. Filienko, M. Nizar, J. Roberti, D. Galdamez, H. Jakher, S. Iribarren, W. Yuwen, M. De Cock
    GenAI4Health, AAAI 2025 workshop on Generative AI for Health

  2. Privacy-Preserving Synthetic Data Generation on the NAIRR
    S. Pentyala, S. Menzies, M. De Cock
    in: NAIRR Pilot Inaugural Annual Meeting, 2025

  3. End to End Collaborative Synthetic Data Generation [arXiv]
    S. Pentyala, G. Sitaraman, T. Claar, M. De Cock
    in: AAAI-25 Workshop on Privacy-Preserving Artificial Intelligence, 2025

  4. Securely Generating Synthetic Genomic Data from Distributed Data Silos
    T. Claar, S. Golob, S. Pentyala, G. Sitaraman, M. De Cock, J. Banerjee, L. Foschini
    in: 11th International Workshop on Genome Privacy and Security (GenoPri'24), 2024

  5. Responsible Health AI Lab at University of Washington Tacoma
    M. De Cock, W. Yuwen, L.-H. Hung
    in: AI for Health Equity Symposium AIM-AHEAD Annual Meeting, AIHES, 2024

  6. High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes [PDF]
    S. Golob, S. Pentyala, A. Maratkhan, M. De Cock
    in: AAAI-24 Workshop on Privacy-Preserving Artificial Intelligence, 2024

  7. Developing an AI-Assisted Platform to Support Tuberculosis Care Delivery [HTML]
    S. Iribarren, W. Yuwen, M. De Cock
    in: Digital Health and Informatics Innovations for Sustainable Health Care Systems, Proceedings of 34th Medical Informatics Europe (MIE) Conference, Studies in Health Technology and Informatics 316, p.839-840, 2024

  8. 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

  9. 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

  10. 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)

  11. 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

  12. 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

  13. 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

  14. Mitigating Online Grooming with Federated Learning
    K. Chehbouni, G. Farnadi, R. Rabbany, G. Caporossi, M. De Cock
    in: Montreal AI Symposium (MAIS) 2022

  15. 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

  16. 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

  17. Private Video Classification with Secure Multiparty Computation [poster]
    S. Pentyala, M. De Cock, R. Dowsley
    in: Women in Computer Vision Workshop at CVPR, 2021

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. Privacy Preserving Screening of Personal Documents
    D. Reich, M. De Cock, A. Nascimento
    in: 22nd Annual Undergraduate Research Symposium, UW, 2019

  24. An Evaluation of DGA Classifiers
    R. Sivaguru, C. Choudhary, B. Yu, V. Tymchenko, A. Nascimento, M. De Cock
    in: Women in CyberSecurity (WiCyS), 2019

  25. 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

  26. 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

  27. 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

  28. Secure Machine Learning with Personal Data
    M. De Cock
    in: 1st International Conference on Educational Data Mining and Applications, 2017

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. Network-based Prediction of Cancer Drug Response
    M. Mushthofa, M. De Cock, K. Marchal
    in: Posters of ECCB2016 (European Conference in Computational Biology), 2016

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. Solving Fuzzy Answer Set Programs
    M. De Cock, J. Janssen, S. Schockaert, D. Vermeir
    in: WConSC'11 (World Conference on Soft Computing), 2011

  50. 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

  51. Filtering Abstracts for Protein Interactions in PRISE
    G. Dittmar, T. Fayruzov, M. De Cock, A. Teredesai
    in: Annual UW Undergraduate Research Symposium, 2010

  52. 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

  53. Augmenting Microblog Search with Social Authority Ranking
    R. Nagmoti, A. Teredesai, M. De Cock
    in: ISNA2010 (30th International Sunbelt Social Network Conference), 2010

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. Exploiting Vague Spatial Information in Geographic IR
    S. Schockaert, M. De Cock, E. E. Kerre
    in: DBDBD2006 (Dutch Belgian Database Day), 2006

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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)

  66. 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

  67. 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

  68. 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

  69. 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

  70. The Need for Fuzzy Association Rules: Myths and Reality
    M. De Cock, H. Verlinde
    in: DBDBD2004 (Dutch Belgian Database Day), 2004

  71. 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

  72. 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

  73. 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

  74. 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

  75. Linguistic Modifiers: the Horizon Approach [PDF]
    M. De Cock, E. E. Kerre
    in: Belgium/Fuzzy 2 Workshop, 2000

  76. 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

Patents

  1. Cryptographically Secure Machine Learning
    K. Fritchman, T. Hughes, A. Teredesai, M. De Cock, A. Nascimento
    US Patent 10,198,399
    Issue date: Feb 5, 2019