M. D. Cock

Martine De Cock, Ankur Teredesai, Rinkesh Nagmoti, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Temporal reasoning about fuzzy intervals

Martine De Cock, Steven Schockaert, M. D. Cock, 2008, Artif. Intell..

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Amir K. Foroushani, Yuanfang Guan, Jaewoo Kang, 2019, Nature Communications.

A Multivariate Regression Approach to Personality Impression Recognition of Vloggers

Martine De Cock, Shanu Sushmita, Golnoosh Farnadi, 2014, WCPR '14.

Answer set programs with optional rules: a possibilistic approach

Martine De Cock, Steven Schockaert, Kim Bauters, 2013 .

Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach

Martine De Cock, Steven Schockaert, Jeroen Janssen, 2012, Atlantis Computational Intelligence Systems.

Reducing fuzzy answer set programming to model finding in fuzzy logics

Martine De Cock, Steven Schockaert, Jeroen Janssen, 2011, Theory and Practice of Logic Programming.

Expressiveness of communication in answer set programming

Martine De Cock, Steven Schockaert, Jeroen Janssen, 2011, Theory and Practice of Logic Programming.

Five Languages Are Better Than One: An Attempt to Bypass the Data Acquisition Bottleneck for WSD

Martine De Cock, Véronique Hoste, Els Lefever, 2013, CICLing.

ASP-G: an ASP-based method for finding attractors in genetic regulatory networks

Kathleen Marchal, Martine De Cock, Yves Van de Peer, 2014, Bioinform..

Modeling multi-valued biological interaction networks using fuzzy answer set programming

Kathleen Marchal, Martine De Cock, Steven Schockaert, 2018, Fuzzy Sets Syst..

Elicitation of fuzzy association rules from positive and negative examples

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2005, Fuzzy Sets Syst..

Relatedness of fuzzy sets

Chris Cornelis, Martine De Cock, Steven Schockaert, 2005, J. Intell. Fuzzy Syst..

Intuitionistic Fuzzy Relational Images

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2005, Computational Intelligence for Modelling and Prediction.

Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2003 .

Linguistic Hedges in an Intuitionistic Fuzzy Setting

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2002, FSKD.

Aggregated Fuzzy Answer Set Programming

Martine De Cock, Steven Schockaert, Jeroen Janssen, 2011, Annals of Mathematics and Artificial Intelligence.

A Many Valued Representation and Propagation of Trust and Distrust

Martine De Cock, Paulo Pinheiro, M. D. Cock, 2005, WILF.

Fuzzy Rough Sets: The Forgotten Step

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2007, IEEE Transactions on Fuzzy Systems.

Efficient Approximate Reasoning with Positive and Negative Information

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2004, KES.

Fuzzy rough sets: beyond the obvious

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

On (un)suitable fuzzy relations to model approximate equality

Martine De Cock, Etienne E. Kerre, M. D. Cock, 2003, Fuzzy Sets Syst..

User Profiling through Deep Multimodal Fusion

Marie-Francine Moens, Martine De Cock, Jie Tang, 2018, WSDM.

Computational personality recognition in social media

Marie-Francine Moens, Martine De Cock, Fabio Celli, 2016, User Modeling and User-Adapted Interaction.

Computing attractors of multi-valued Gene Regulatory Networks using Fuzzy Answer Set Programming

Martine De Cock, Steven Schockaert, Mushthofa Mushthofa, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Predictive Spatial Search

Martine De Cock, Ankur Teredesai, Mohamed Ali, 2014 .

Vaguely Quantified Rough Sets

C. Cornelis, M. D. Cock, A. Radzikowska, 2009, RSFDGrC.

High performance logistic regression for privacy-preserving genome analysis

Martine De Cock, Anderson C. A. Nascimento, Rafael Dowsley, 2020, BMC Medical Genomics.

Population Cost Prediction on Public Healthcare Datasets

Martine De Cock, Ankur Teredesai, Shanu Sushmita, 2015, Digital Health.

Applied Artificial Intelligence

Martine De Cock, Da Ruan, Etienne Kerre, 2006 .

Fuzzy Methods on the Web: A Critical Discussion

Martine De Cock, Steven Schockaert, Nataliya Makarytska, 2011, 35 Years of Fuzzy Set Theory.

Clustering web search results using fuzzy ants

Chris Cornelis, Martine De Cock, Steven Schockaert, 2007, Int. J. Intell. Syst..

Fuzzy Ant Based Clustering

Chris Cornelis, Martine De Cock, Steven Schockaert, 2004, ANTS Workshop.

Neighborhood restrictions in geographic IR

Martine De Cock, Steven Schockaert, M. D. Cock, 2007, SIGIR.

Automatic Acquisition of Fuzzy Footprints

Martine De Cock, Steven Schockaert, Etienne E. Kerre, 2005, OTM Workshops.

Fuzzy versus quantitative association rules: a fair data-driven comparison

Martine De Cock, Raymond Boute, Hannes Verlinde, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

How are you doing? Emotions and Personality in Facebook

Marie-Francine Moens, Martine De Cock, Golnoosh Farnadi, 2014, UMAP Workshops.

Age and Gender Identification in Social Media

Marie-Francine Moens, Martine De Cock, Ankur Teredesai, 2014, CLEF.

HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs

Martine De Cock, Ankur Teredesai, Shanu Sushmita, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Reasoning about fuzzy temporal information from the web: towards retrieval of historical events

Martine De Cock, Steven Schockaert, Etienne E. Kerre, 2010, Soft Comput..

Prediction of Hospitalization Cost for Childbirth

M. D. Cock, James Marquardt, Si-Chi Chin, 2014 .

Using the crowd for readability prediction

Martine De Cock, Véronique Hoste, Orphée De Clercq, 2012, Natural Language Engineering.

Fuzzy autoepistemic logic and its relation to fuzzy answer set programming

Martine De Cock, Steven Schockaert, Dirk Vermeir, 2014, Fuzzy Sets Syst..

User Profiling Using Hinge-loss Markov Random Fields pdf

Martine De Cock, Lise Getoor, Marie-Francine Moens, 2020, ArXiv.

Privacy-Preserving Feature Selection with Secure Multiparty Computation

Martine De Cock, Rafael Dowsley, Xiling Li, 2021, IACR Cryptol. ePrint Arch..

On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief

Martine De Cock, Steven Schockaert, Lluis Godo, 2015, Fuzzy Sets Syst..

Relating fuzzy autoepistemic logic to fuzzy modal logics of belief

Martine De Cock, Tommaso Flaminio, Marjon Blondeel, 2013 .

Predicting Future Frequent Users of Emergency Departments in California State

Martine De Cock, Shanu Sushmita, Chun Pan Hon, 2016, BCB.

Openings and closures of fuzzy preorderings: theoretical basics and applications to fuzzy rule-based systems

Martine De Cock, Etienne E. Kerre, Ulrich Bodenhofer, 2003, Int. J. Gen. Syst..

Approximate equality is no fuzzy equality

Martine De Cock, Etienne E. Kerre, M. D. Cock, 2001, EUSFLAT Conf..

Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions

Martine De Cock, Ankur Teredesai, Shanu Sushmita, 2016, AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI.

LINGUISTIC MODIFIERS: AN OVERVIEW

Martine De Cock, Etienne Kerre, M. D. Cock, 1999 .

Repairing inconsistent answer set programs using rules of thumb: A gene regulatory networks case study

Martine De Cock, Steven Schockaert, Elie Merhej, 2017, Int. J. Approx. Reason..

Using Rules of Thumb for Repairing Inconsistent Answer Set Programs

Martine De Cock, Steven Schockaert, Elie Merhej, 2015, SUM.

Towards Possibilistic Fuzzy Answer Set Programming

Martine De Cock, Steven Schockaert, Jeroen Janssen, 2010, NMR 2010.

Solving stable matching problems using answer set programming

Martine De Cock, Steven Schockaert, Ann Nowé, 2015, Theory and Practice of Logic Programming.

Modeling Stable Matching Problems with Answer Set Programming

Martine De Cock, Steven Schockaert, Ann Nowé, 2013, RuleML.

Exact and heuristic methods for solving Boolean games

Martine De Cock, Steven Schockaert, Ann Nowé, 2015, Autonomous Agents and Multi-Agent Systems.

A RapidMiner framework for protein interaction extraction

Martine De Cock, Ankur Teredesai, Timur Fayruzov, 2010 .

Mining Positive and Negative Fuzzy Association Rules

Chris Cornelis, Martine De Cock, Etienne E. Kerre, 2004, KES.

Detecting Hate Speech Against Women in English Tweets

Martine De Cock, Anderson C. A. Nascimento, Resham Ahluwalia, 2018, EVALITA@CLiC-it.

Fast, Privacy Preserving Linear Regression over Distributed Datasets based on Pre-Distributed Data

Martine De Cock, Anderson C. A. Nascimento, Rafael Dowsley, 2015, AISec@CCS.

Distributed fuzzy rough prototype selection for Big Data regression

Chris Cornelis, Martine De Cock, Sarah Vluymans, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

Character Level based Detection of DGA Domain Names

Martine De Cock, Anderson C. A. Nascimento, Jie Pan, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Formalizing Commitment-Based Deals in Boolean Games 1

Sofie De Clercq, A. Nowé, M. D. Cock, 2016 .

Modelling incomplete information in Boolean games using possibilistic logic

Martine De Cock, Steven Schockaert, Ann Nowé, 2018, Int. J. Approx. Reason..

Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information

Martine De Cock, Steven Schockaert, Ann Nowé, 2014, JELIA.

The Microsoft Academic Search challenges at KDD Cup 2013

Martine De Cock, Senjuti Basu Roy, Benjamin Hamner, 2013, 2013 IEEE International Conference on Big Data.

The Microsoft academic search dataset and KDD Cup 2013

Martine De Cock, Senjuti Basu Roy, Ben Hamner, 2013, KDD Cup '13.

An Evaluation of DGA Classifiers

Martine De Cock, Anderson C. A. Nascimento, Bin Yu, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Inline DGA Detection with Deep Networks

Martine De Cock, Anderson C. A. Nascimento, Jie Pan, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Spatial reasoning in a fuzzy region connection calculus

Martine De Cock, Steven Schockaert, Etienne E. Kerre, 2009, Artif. Intell..

Cognitive load detection from wrist-band sensors

Martine De Cock, Xiling Li, M. D. Cock, 2020, UbiComp/ISWC Adjunct.

Modelling gene and protein regulatory networks with Answer Set Programming

Chris Cornelis, Martine De Cock, Jeroen Janssen, 2011, Int. J. Data Min. Bioinform..

Possible and Necessary Answer Sets of Possibilistic Answer Set Programs

Martine De Cock, Steven Schockaert, Kim Bauters, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Weak and Strong Disjunction in Possibilistic ASP

Martine De Cock, Steven Schockaert, Kim Bauters, 2011, SUM.

Possibilistic Answer Set Programming Revisited

Martine De Cock, Steven Schockaert, Kim Bauters, 2010, UAI.

Recognising Personality Traits Using Facebook Status Updates

Marie-Francine Moens, Martine De Cock, Golnoosh Farnadi, 2013, Proceedings of the International AAAI Conference on Web and Social Media.

Fuzzy Argumentation Frameworks

Martine De Cock, Dirk Vermeir, M. D. Cock, 2008 .

Linguistic feature analysis for protein interaction extraction

Chris Cornelis, Martine De Cock, Véronique Hoste, 2009, BMC Bioinformatics.

Fuzzy region connection calculus: An interpretation based on closeness

Chris Cornelis, Martine De Cock, Steven Schockaert, 2008, Int. J. Approx. Reason..

Fuzzy Spatial Relations between Vague Regions

M. De Cock, E.E. Kerre, S. Schockaert, 2006, 2006 3rd International IEEE Conference Intelligent Systems.

Detecting Misogynous Tweets

Martine De Cock, Anderson C. A. Nascimento, Resham Ahluwalia, 2018, IberEval@SEPLN.

Communicating ASP and the Polynomial Hierarchy

Martine De Cock, Steven Schockaert, Kim Bauters, 2011, LPNMR.

The role of syntactic features in protein interaction extraction

Chris Cornelis, Martine De Cock, Véronique Hoste, 2008, DTMBIO '08.

Enhancing the trust-based recommendation process with explicit distrust

Chris Cornelis, Martine De Cock, Patricia Victor, 2013, TWEB.

Privacy-Preserving Video Classification with Convolutional Neural Networks

Martine De Cock, Rafael Dowsley, Sikha Pentyala, 2021, IACR Cryptol. ePrint Arch..

Private Speech Characterization with Secure Multiparty Computation pdf

Martine De Cock, Rafael Dowsley, Kyle Bittner, 2020, ArXiv.

Possible and Necessary Answer Sets of Possibilistic Answer Set Programs

M. D. Cock, D. Vermeir, S. Schockaert, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Location approximation for local search services using natural language hints

Martine De Cock, Steven Schockaert, Etienne E. Kerre, 2008, Int. J. Geogr. Inf. Sci..

Modelling nearness and cardinal directions between fuzzy regions

Martine De Cock, Steven Schockaert, Etienne E. Kerre, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Fuzzy region connection calculus: Representing vague topological information

Chris Cornelis, Martine De Cock, Steven Schockaert, 2008, Int. J. Approx. Reason..

Reasoning about vague topological information

Martine De Cock, Steven Schockaert, M. D. Cock, 2007, CIKM '07.

Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection

Martine De Cock, Anderson C. A. Nascimento, Rafael Dowsley, 2019, IACR Cryptol. ePrint Arch..

Toward an Intelligent Service Broker with Imprecise Constraints : Fuzzy Logic Based Service Selection by using SAWSDL

Martine De Cock, Sam Chung, Sergio Davalos, 2022 .

Trust and Recommendations

Chris Cornelis, Martine De Cock, Patricia Victor, 2011, Recommender Systems Handbook.

Dictionary Extraction and Detection of Algorithmically Generated Domain Names in Passive DNS Traffic

Martine De Cock, Anderson C. A. Nascimento, Bin Yu, 2018, RAID.