A query language for analyzing networks. - Anton Dries; Siegfried Nijssen; Luc De Raedt (CIKM, 2009)

Towards Clausal Discovery for Stream Mining. - Anton Dries; Luc De Raedt (ILP, 2009)

Adaptive concept drift detection. - Anton Dries; Ulrich Rückert 002 (Stat. Anal. Data Min., 2009)

Analyzing graph databases by aggregate queries. - Anton Dries; Siegfried Nijssen (MLG@KDD, 2010)

Mining Predictive k-CNF Expressions. - Anton Dries; Luc De Raedt; Siegfried Nijssen (IEEE Trans. Knowl. Data Eng., 2010)

Mining Patterns in Networks using Homomorphism. - Anton Dries; Siegfried Nijssen (SDM, 2012)

BiQL: A Query Language for Analyzing Information Networks. - Anton Dries; Siegfried Nijssen; Luc De Raedt (Bisociative Knowledge Discovery, 2012)

The MiningZinc Framework for Constraint-Based Itemset Mining. - Tias Guns; Anton Dries; Guido Tack; Siegfried Nijssen; Luc De Raedt (ICDM Workshops, 2013)

Dominance Programming for Itemset Mining. - Benjamin Négrevergne; Anton Dries; Tias Guns; Siegfried Nijssen (ICDM, 2013)

MiningZinc: A Modeling Language for Constraint-Based Mining. - Tias Guns; Anton Dries; Guido Tack; Siegfried Nijssen; Luc De Raedt (IJCAI, 2013)

The effect of constraints on information loss and risk for clustering and modification based graph anonymization methods. - David F. Nettleton; Vicenç Torra; Anton Dries (CoRR, 2014)

Inducing Probabilistic Relational Rules from Probabilistic Examples. - Luc De Raedt; Anton Dries; Ingo Thon; Guy Van den Broeck; Mathias Verbeke (IJCAI, 2015)

ProbLog2: Probabilistic Logic Programming. - Anton Dries; Angelika Kimmig; Wannes Meert; Joris Renkens; Guy Van den Broeck; Jonas Vlasselaer; Luc De Raedt (ECML/PKDD (3), 2015)

Declarative Data Generation with ProbLog. - Anton Dries (SoICT, 2015)

Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. - Jonas Vlasselaer; Angelika Kimmig; Anton Dries; Wannes Meert; Luc De Raedt (AAAI Workshop: Beyond NP, 2016)

Modeling in MiningZinc. - Anton Dries; Tias Guns; Siegfried Nijssen; Behrouz Babaki; Thanh Le Van; Benjamin Négrevergne; Sergey Paramonov 001; Luc De Raedt (Data Mining and Constraint Programming, 2016)

Learning Constraint Satisfaction Problems: An ILP Perspective. - Luc De Raedt; Anton Dries; Tias Guns; Christian Bessiere (Data Mining and Constraint Programming, 2016)

Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. - Anna L. D. Latour; Behrouz Babaki; Anton Dries; Angelika Kimmig; Guy Van den Broeck; Siegfried Nijssen (CP, 2017)

BEHAVE - Behavioral Analysis of Visual Events for Assisted Living Scenarios. - Jonas Vlasselaer; Carlos Fernando Crispim Junior; François Brémond; Anton Dries (ICCV Workshops, 2017)

Solving Probability Problems in Natural Language. - Anton Dries; Angelika Kimmig; Jesse Davis; Vaishak Belle; Luc De Raedt (IJCAI, 2017)

Relational Affordance Learning for Task-Dependent Robot Grasping. - Laura Antanas; Anton Dries; Plinio Moreno; Luc De Raedt (ILP, 2017)

Prediction-based optimization for online People and Parcels share a ride taxis. - Van Son Nguyen; Behrouz Babaki; Anton Dries; Pham Quang Dung; Nguyen Xuan (KSE, 2017)

MiningZinc: A declarative framework for constraint-based mining. - Tias Guns; Anton Dries; Siegfried Nijssen; Guido Tack; Luc De Raedt (Artif. Intell., 2017)

Improving Candidate Quality of Probabilistic Logic Models. - Joana Côrte-Real; Anton Dries; Inês Dutra; Ricardo Rocha 001 (ICLP (Technical Communications), 2018)

Sketched Answer Set Programming. - Sergey Paramonov 001; Christian Bessiere; Anton Dries; Luc De Raedt (ICTAI, 2018)

Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming. - Pedro Zuidberg Dos Martires; Anton Dries; Luc De Raedt (CoRR, 2018)

Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. - Pedro Zuidberg Dos Martires; Anton Dries; Luc De Raedt (AAAI, 2019)

Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic Programming. - Timothy van Bremen; Anton Dries; Jean Christoph Jung (CIKM, 2019)

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). - Yann Dauxais; Clément Gautrais; Anton Dries; Arcchit Jain; Samuel Kolb; Mohit Kumar 003; Stefano Teso; Elia Van Wolputte; Gust Verbruggen; Luc De Raedt (PKDD/ECML Workshops (1), 2019)

Partial Queries for Constraint Acquisition. - Christian Bessiere; Clément Carbonnel; Anton Dries; Emmanuel Hebrard; George Katsirelos; Nadjib Lazaar; Nina Narodytska; Claude-Guy Quimper; Kostas Stergiou 001; Dimosthenis C. Tsouros; Toby Walsh (CoRR, 2020)

onto2problog: A Probabilistic Ontology-Mediated Querying System using Probabilistic Logic Programming. - Timothy van Bremen; Anton Dries; Jean Christoph Jung (Künstliche Intell., 2020)

Predictive spreadsheet autocompletion with constraints. - Samuel Kolb; Stefano Teso; Anton Dries; Luc De Raedt (Mach. Learn., 2020)

Learning constraints through partial queries. - Christian Bessiere; Clément Carbonnel; Anton Dries; Emmanuel Hebrard; George Katsirelos; Nadjib Lazaar; Nina Narodytska; Claude-Guy Quimper; Kostas Stergiou 001; Dimosthenis C. Tsouros; Toby Walsh (Artif. Intell., 2023)

Corrigendum to "Learning constraints through partial queries" [Artificial Intelligence 319 (2023) 103896]. - Christian Bessiere; Clément Carbonnel; Anton Dries; Emmanuel Hebrard; George Katsirelos; Nadjib Lazaar; Nina Narodytska; Claude-Guy Quimper; Kostas Stergiou 001; Dimosthenis C. Tsouros; Toby Walsh (Artif. Intell., 2024)