Prof. Dr. Martine De Cock

Martine

Contact


Ghent University
Dept. of Applied Mathematics & Computer Science
Krijgslaan 281 (Building S9, Room 40.09.120.012)
B-9000 Gent
Belgium

Phone: +32 9 264.47.70
Fax: +32 9 264.49.95
E-mail: Martine.DeCock@UGent.be

Short biography


Martine De Cock holds a M.Sc. and a Ph.D. degree in Computer Science from Ghent University (Belgium). From 1998 until 2005 her activities as a research assistant and a postdoctoral fellow were supported by the Fund for Scientific Research - Flanders. Currently she is a professor at the Department of Applied Mathematics and Computer Science at Ghent University (Belgium). She worked as a visiting scholar in the BISC group at the University of California, Berkeley (USA), the Knowledge Systems Laboratory at Stanford University (USA) and the Institute of Technology at the University of Washington, Tacoma (USA). Her research interest is computational web intelligence.

Martine De Cock is currently working as a visiting associate professor at the University of Washington, Tacoma (USA).

Publications

Papers listed in Web of Science SCI - Science Citation Index

  1. Reasoning about Fuzzy Temporal Information from the Web: Towards Retrieval of Historical Events
    S. Schockaert, M. De Cock, E. E. Kerre
    to appear in: Soft Computing

  2. Trust- and Distrust-Based Recommendations for Controversial Reviews
    P. Victor, C. Cornelis, M. De Cock, A. Teredesai
    to appear in: IEEE Intelligent Systems

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

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

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

  6. 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

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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

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

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

  20. 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

  21. 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

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

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

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

  25. 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

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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

Papers in other international journals

  1. 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

  2. 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)

  3. 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

Edited books

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

  2. 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)

  3. 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. Trust and Recommendations
    P. Victor, C. Cornelis, M. De Cock
    to appear in: Recommender System Handbook

  2. Fuzzy Rough Sets: from Theory into Practice
    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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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


(*) listed in Web of Science Conference Proceedings Citation Index (CPCI-S)
  1. Modeling Protein Interaction Networks with Answer Set Programming
    T. Fayruzov, M. De Cock, C. Cornelis, D. Vermeir
    in: Proceedings of BIBM2009 (IEEE International Conference on Bioinformatics and Biomedicine), p.99-105, 2009

  2. (*) 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), 2009

  3. (*) 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

  4. 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

  5. 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

  6. 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

  7. (*) 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

  8. 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

  9. Trust- and Distrust-Based Recommendations for Controversial Reviews [paper]
    P. Victor, C. Cornelis, M. De Cock, A. Teredesai
    in: Proceedings of WebSci'09 - Society On-line (2009 Web Science Conference), 2009

  10. 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

  11. (*) 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

  12. 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

  13. 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

  14. 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

  15. (*) 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

  16. (*) 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

  17. (*) 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

  18. (*) 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

  19. (*) 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

  20. (*) 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

  21. (*) Selection of Web Services with Imprecise QoS Constraints
    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

  22. 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

  23. 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

  24. 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

  25. (*) 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

  26. 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

  27. (*) 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

  28. 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

  29. (*) 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

  30. 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

  31. (*) 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

  32. 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

  33. 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

  34. (*) 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

  35. (*) 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

  36. 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

  37. 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

  38. (*) 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

  39. 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

  40. 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

  41. 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

  42. (*) 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

  43. (*) 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

  44. 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

  45. (*) 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

  46. 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

  47. (*) 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. (*) 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

  54. 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

  55. (*) 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

  56. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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)

  13. 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

  14. 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

  15. 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

  16. 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

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

  18. 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

  19. 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

  20. 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

  21. 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

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

  23. 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



Website Computational Web Intelligence TeamComputational Web Intelligence