Blockeel, Hendrik

42 publications

ICML 2025 Compressing Tree Ensembles Through Level-Wise Optimization and Pruning Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis

AAAI 2024 DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

ECML-PKDD 2023 Estimating Dynamic Time Warping Distance Between Time Series with Missing Data Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel

ECML-PKDD 2022 SaDe: Learning Models That Provably Satisfy Domain Constraints Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

AAAI 2022 Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel

ECML-PKDD 2020 Tackling Noise in Active Semi-Supervised Clustering Jonas Soenen, Sebastijan Dumancic, Toon van Craenendonck, Hendrik Blockeel

IJCAI 2019 Learning Relational Representations with Auto-Encoding Logic Programs Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

AAAI 2018 MERCS: Multi-Directional Ensembles of Regression and Classification Trees Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel

MLJ 2017 An Expressive Dissimilarity Measure for Relational Clustering Using Neighbourhood Trees Sebastijan Dumancic, Hendrik Blockeel

IJCAI 2017 COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel

IJCAI 2017 Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation Sebastijan Dumancic, Hendrik Blockeel

MLJ 2017 Constraint-Based Clustering Selection Toon van Craenendonck, Hendrik Blockeel

IJCAI 2016 Dynamic Early Stopping for Naive Bayes Aäron Verachtert, Hendrik Blockeel, Jesse Davis

ECML-PKDD 2016 Learning Language Models from Images with ReGLL Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet

AISTATS 2013 Completeness Results for Lifted Variable Elimination Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel

NeurIPS 2013 First-Order Decomposition Trees Nima Taghipour, Jesse Davis, Hendrik Blockeel

JAIR 2013 Lifted Variable Elimination: Decoupling the Operators from the Constraint Language Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel

ECML-PKDD 2013 SCCQL : A Constraint-Based Clustering System Antoine Adam, Hendrik Blockeel, Sander Govers, Abram Aertsen

MLJ 2012 Experiment Databases - A New Way to Share, Organize and Learn from Experiments Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes

AISTATS 2012 Lifted Variable Elimination with Arbitrary Constraints Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel

MLJ 2011 Guest Editorial to the Special Issue on Inductive Logic Programming, Mining and Learning in Graphs and Statistical Relational Learning Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan

MLJ 2011 Neural Networks for Relational Learning: An Experimental Comparison Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli

MLJ 2010 A Comparison of Pruning Criteria for Probability Trees Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

ECML-PKDD 2010 First-Order Bayes-Ball Wannes Meert, Nima Taghipour, Hendrik Blockeel

ECML-PKDD 2009 A Community-Based Platform for Machine Learning Experimentation Joaquin Vanschoren, Hendrik Blockeel

MLJ 2008 Decision Trees for Hierarchical Multi-Label Classification Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel

MLJ 2008 Generalized Ordering-Search for Learning Directed Probabilistic Logical Models Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe

IJCAI 2007 Online Learning and Exploiting Relational Models in Reinforcement Learning Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

ECML-PKDD 2006 Bagging Using Statistical Queries Anneleen Van Assche, Hendrik Blockeel

MLJ 2006 First Order Random Forests: Learning Relational Classifiers with Complex Aggregates Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski

ECML-PKDD 2005 A Comparison of Approaches for Learning Probability Trees Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

ICML 2005 Multi-Instance Tree Learning Hendrik Blockeel, David Page, Ashwin Srinivasan

MLJ 2004 Compact Representation of Knowledge Bases in Inductive Logic Programming Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel

IJCAI 2003 Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference Raymond Kosala, Maurice Bruynooghe, Jan Van den Bussche, Hendrik Blockeel

JMLR 2003 Query Transformations for Improving the Efficiency of ILP Systems Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer

JMLR 2002 Efficient Algorithms for Decision Tree Cross-Validation Hendrik Blockeel, Jan Struyf

JAIR 2002 Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele

ECML-PKDD 2002 Ranking with Predictive Clustering Trees Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski

ICML 2001 Efficient Algorithms for Decision Tree Cross-Validation Hendrik Blockeel, Jan Struyf

ECML-PKDD 2001 Speeding up Relational Reinforcement Learning Through the Use of an Incremental First Order Decision Tree Learner Kurt Driessens, Jan Ramon, Hendrik Blockeel

ICML 1998 Relational Reinforcement Learning Saso Dzeroski, Luc De Raedt, Hendrik Blockeel

ICML 1998 Top-Down Induction of Clustering Trees Hendrik Blockeel, Luc De Raedt, Jan Ramon