Hendrik Blockeel

239 papers A* 17A 6B 41C 5Misc 3Journal 87Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Correction: Steering the LoCoMotif: Using domain knowledge in time series motif discovery. Data Min. Knowl. Discov. Aras Yurtman, Daan Van Wesenbeeck, Wannes Meert, Hendrik Blockeel
2026	J	`jnl`	Quantitative evaluation of motif sets in time series. Data Min. Knowl. Discov. Daan Van Wesenbeeck, Aras Yurtman, Wannes Meert, Hendrik Blockeel
2025	—	`conf`	Beyond Manual Labels: Unsupervised Graph-Based Explanations for Error Analysis in Image Classifiers. ISWC (1) Youmna Ismaeil, Jan-Hendrik Metzen, Trung-Kien Tran, Hendrik Blockeel, Daria Stepanova
2025	A*	`conf`	Compressing tree ensembles through Level-wise Optimization and Pruning. ICML Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis
2025	—	`conf`	Evidence Accumulation as a Combining Rule for Decision Forests. Challenges and Algorithms for Knowledge Discovery from Data Hendrik Blockeel, Daan Van Wesenbeeck, Andreh Al Warrad
2025	J	`jnl`	Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery. CoRR Aras Yurtman, Daan Van Wesenbeeck, Wannes Meert, Hendrik Blockeel
2025	J	`jnl`	Steering the LoCoMotif: Using domain knowledge in time series motif discovery. Data Min. Knowl. Discov. Aras Yurtman, Daan Van Wesenbeeck, Wannes Meert, Hendrik Blockeel
2025	J	`jnl`	Tailored Transformation Invariance for Industrial Anomaly Detection. CoRR Mariette Schönfeld, Wannes Meert, Hendrik Blockeel
2025	J	`jnl`	Warping and Matching Subsequences Between Time Series. CoRR Simiao Lin, Wannes Meert, Pieter Robberechts, Hendrik Blockeel
2024	A*	`conf`	DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction. AAAI Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2024	J	`jnl`	Fast and interpretable electricity consumption scenario generation for individual consumers. CoRR Jonas Soenen, Aras Yurtman, Thijs Becker, Koen Vanthournout, Hendrik Blockeel
2024	J	`jnl`	LoCoMotif: discovering time-warped motifs in time series. Data Min. Knowl. Discov. Daan Van Wesenbeeck, Aras Yurtman, Wannes Meert, Hendrik Blockeel
2024	J	`jnl`	Quantitative Evaluation of Motif Sets in Time Series. CoRR Daan Van Wesenbeeck, Aras Yurtman, Wannes Meert, Hendrik Blockeel
2023	J	`jnl`	A Scalable Ensemble Approach to Forecast the Electricity Consumption of Households. IEEE Trans. Smart Grid Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Koen Vanthournout, Hendrik Blockeel, Bart De Moor, Jesus Lago
2023	J	`jnl`	AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection. CoRR Jonas Soenen, Elia Van Wolputte, Vincent Vercruyssen, Wannes Meert, Hendrik Blockeel
2023	J	`jnl`	Decision trees: from efficient prediction to responsible AI. Frontiers Artif. Intell. Hendrik Blockeel, Laurens Devos, Benoît Frénay, Géraldin Nanfack, Siegfried Nijssen
2023	J	`jnl`	DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction. CoRR Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2023	—	`conf`	Estimating Dynamic Time Warping Distance Between Time Series with Missing Data. ECML/PKDD (5) Aras Yurtman, Jonas Soenen, Wannes Meert, Hendrik Blockeel
2023	Misc	`conf`	FeaBI: A Feature Selection-Based Framework for Interpreting KG Embeddings. ISWC Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Hendrik Blockeel
2023	—	`conf`	LinC: Explaining Time Series Clusterings with User-Provided Constraints. PKDD/ECML Workshops (3) Simiao Lin, Aras Yurtman, Jonas Soenen, Hendrik Blockeel
2023	J	`jnl`	LoCoMotif: Discovering time-warped motifs in time series. CoRR Daan Van Wesenbeeck, Aras Yurtman, Wannes Meert, Hendrik Blockeel
2023	—	`conf`	Look beyond the Surface: A Demo for Explaining Knowledge Graph Embeddings and Entity Similarity. ISWC (Posters/Demos/Industry) Huu Tan Mai, Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Hendrik Blockeel
2022	—	`conf`	Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. BNAIC/BENELEARN Kshitij Goyal, Wannes Meert, Hendrik Blockeel, Elia Van Wolputte, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers
2022	J	`jnl`	Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. CoRR Kshitij Goyal, Wannes Meert, Hendrik Blockeel, Elia Van Wolputte, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers
2022	J	`jnl`	Combining Predictions under Uncertainty: The Case of Random Decision Trees. CoRR Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
2022	—	`conf`	SaDe: Learning Models that Provably Satisfy Domain Constraints. ECML/PKDD (5) Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2022	Misc	`conf`	Towards Neural Network Interpretability Using Commonsense Knowledge Graphs. ISWC Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Piyapat Saranrittichai, Csaba Domokos, Hendrik Blockeel
2022	A*	`conf`	Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. AAAI Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel
2021	B	`conf`	Combining Predictions Under Uncertainty: The Case of Random Decision Trees. DS Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel
2021	J	`jnl`	SaDe: Learning Models that Provably Satisfy Domain Constraints. CoRR Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2020	J	`jnl`	Feature Interactions in XGBoost. CoRR Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
2020	B	`conf`	Missing Value Imputation with MERCS: A Faster Alternative to MissForest. DS Elia Van Wolputte, Hendrik Blockeel
2020	B	`conf`	Multi-directional Rule Set Learning. DS Jonas Schouterden, Jesse Davis, Hendrik Blockeel
2020	—	`conf`	Tackling Noise in Active Semi-supervised Clustering. ECML/PKDD (2) Jonas Soenen, Sebastijan Dumancic, Toon van Craenendonck, Hendrik Blockeel
2020	—	`conf`	Towards Better Evaluation of Multi-target Regression Models. PKDD/ECML Workshops Evgeniya Korneva, Hendrik Blockeel
2019	B	`conf`	LazyBum: Decision Tree Learning Using Lazy Propositionalization. ILP Jonas Schouterden, Jesse Davis, Hendrik Blockeel
2019	J	`jnl`	LazyBum: Decision tree learning using lazy propositionalization. CoRR Jonas Schouterden, Jesse Davis, Hendrik Blockeel
2019	A*	`conf`	Learning Relational Representations with Auto-encoding Logic Programs. IJCAI Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
2019	J	`jnl`	Learning Relational Representations with Auto-encoding Logic Programs. CoRR Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel
2018	J	`jnl`	A machine learning based framework to identify and classify long terminal repeat retrotransposons. PLoS Comput. Biol. Leander Schietgat, Celine Vens, Ricardo Cerri, Carlos N. Fischer, Eduardo P. Costa, Jan Ramon, Claudia M. A. Carareto, Hendrik Blockeel
2018	J	`jnl`	COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. CoRR Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
2018	J	`jnl`	COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series. CoRR Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
2018	J	`jnl`	COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints. CoRR Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
2018	B	`conf`	COBRAS: Interactive Clustering with Pairwise Queries. IDA Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel
2018	B	`conf`	COBRASTS: A New Approach to Semi-supervised Clustering of Time Series. DS Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
2018	J	`jnl`	Declarative data analysis. Int. J. Data Sci. Anal. Hendrik Blockeel
2018	B	`conf`	Elements of an Automatic Data Scientist. IDA Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
2018	—	`conf`	Interactive Time Series Clustering with COBRASTS. ECML/PKDD (3) Toon van Craenendonck, Wannes Meert, Sebastijan Dumancic, Hendrik Blockeel
2018	A*	`conf`	MERCS: Multi-Directional Ensembles of Regression and Classification Trees. AAAI Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel
2018	—	`conf`	Model Selection for Multi-directional Ensemble of Regression and Classification Trees. BNCAI Evgeniya Korneva, Hendrik Blockeel
2017	J	`jnl`	An expressive dissimilarity measure for relational clustering using neighbourhood trees. Mach. Learn. Sebastijan Dumancic, Hendrik Blockeel
2017	—	`ch.`	Bias Specification Language. Encyclopedia of Machine Learning and Data Mining Hendrik Blockeel
2017	A*	`conf`	COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints. IJCAI Toon van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
2017	A*	`conf`	Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation. IJCAI Sebastijan Dumancic, Hendrik Blockeel
2017	J	`jnl`	Constraint-based clustering selection. Mach. Learn. Toon van Craenendonck, Hendrik Blockeel
2017	B	`conf`	Demystifying Relational Latent Representations. ILP Sebastijan Dumancic, Hendrik Blockeel
2017	J	`jnl`	Demystifying Relational Latent Representations. CoRR Sebastijan Dumancic, Hendrik Blockeel
2017	—	`ch.`	Hypothesis Language. Encyclopedia of Machine Learning and Data Mining Hendrik Blockeel
2017	—	`ch.`	Hypothesis Space. Encyclopedia of Machine Learning and Data Mining Hendrik Blockeel
2017	—	`ch.`	Multi-Instance Learning. Encyclopedia of Machine Learning and Data Mining Soumya Ray, Stephen Scott, Hendrik Blockeel
2017	—	`ch.`	Multiple-Instance Learning. Encyclopedia of Machine Learning and Data Mining Soumya Ray, Stephen Scott, Hendrik Blockeel
2017	—	`ch.`	Observation Language. Encyclopedia of Machine Learning and Data Mining Hendrik Blockeel
2017	—	`conf`	PU-learning Disjunctive Concepts in ILP. ILP (Late Breaking Papers) Hendrik Blockeel
2017	—	`ch.`	Relational Learning. Encyclopedia of Machine Learning and Data Mining Jan Struyf, Hendrik Blockeel
2016	—	`conf`	A Simple Framework for Theta-Subsumption Testing in Prolog. ILP (Short Papers) Hendrik Blockeel, Svetlana Valevich
2016	A	`conf`	An Efficient and Expressive Similarity Measure for Relational Clustering Using Neighbourhood Trees. ECAI Sebastijan Dumancic, Hendrik Blockeel
2016	J	`jnl`	An expressive dissimilarity measure for relational clustering using neighbourhood trees. CoRR Sebastijan Dumancic, Hendrik Blockeel
2016	J	`jnl`	Constraint-Based Clustering Selection. CoRR Toon van Craenendonck, Hendrik Blockeel
2016	A*	`conf`	Dynamic Early Stopping for Naive Bayes. IJCAI Aäron Verachtert, Hendrik Blockeel, Jesse Davis
2016	—	`conf`	Identifying Non-Redundant Literals in Clauses with Uniqueness Propagation. ILP (Short Papers) Hendrik Blockeel
2016	J	`jnl`	Instance-level accuracy versus bag-level accuracy in multi-instance learning. Data Min. Knowl. Discov. Gitte Vanwinckelen, Vinicius Tragante do Ó, Daan Fierens, Hendrik Blockeel
2016	—	`conf`	Learning Language Models from Images with ReGLL. ECML/PKDD (3) Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
2016	A	`conf`	Relational Grounded Language Learning. ECAI Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
2016	J	`jnl`	Theory reconstruction: a representation learning view on predicate invention. CoRR Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
2016	J	`jnl`	Unsupervised Relational Representation Learning via Clustering: Preliminary Results. CoRR Sebastijan Dumancic, Hendrik Blockeel
2016	J	`jnl`	Using a Human Drug Network for generating novel hypotheses about drugs. Intell. Data Anal. Hossein Rahmani, Hendrik Blockeel, Andreas Bender
2015	B	`conf`	A First-Order-Logic Based Model for Grounded Language Learning. IDA Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet
2015	J	`jnl`	Data Mining: From Procedural to Declarative Approaches. New Gener. Comput. Hendrik Blockeel
2015	—	`conf`	Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection. MetaSel@PKDD/ECML Antoine Adam, Hendrik Blockeel
2015	—	`conf`	Limitations of Using Constraint Set Utility in Semi-Supervised Clustering. MetaSel@PKDD/ECML Toon van Craenendonck, Hendrik Blockeel
2015	J	`jnl`	Predicate logic as a modeling language: modeling and solving some machine learning and data mining problems with Theory Pract. Log. Program. Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer
2015	B	`conf`	Slower Can Be Faster: The iRetis Incremental Model Tree Learner. IDA Denny Verbeeck, Hendrik Blockeel
2015	J	`jnl`	Using a Human Disease Network for augmenting prior knowledge about diseases. Intell. Data Anal. Hossein Rahmani, Hendrik Blockeel, Andreas Bender
2014	B	`ed.`	Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings IDA Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti
2014	J	`jnl`	Lifted Variable Elimination: Decoupling the Operators from the Constraint Language. CoRR Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2014	—	`conf`	Look before you leap: Some insights into learner evaluation with cross-validation. SSDM@ECML/PKDD Gitte Vanwinckelen, Hendrik Blockeel
2013	J	`jnl`	Causality-based cost-effective action mining. Intell. Data Anal. Pirooz Shamsinejadbabaki, Mohamad Saraee, Hendrik Blockeel
2013	A	`conf`	Completeness Results for Lifted Variable Elimination. AISTATS Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2013	B	`conf`	Estimating Prediction Certainty in Decision Trees. IDA Eduardo P. Costa, Sicco Verwer, Hendrik Blockeel
2013	J	`jnl`	First-Order Decomposition Trees. CoRR Nima Taghipour, Jesse Davis, Hendrik Blockeel
2013	—	`conf`	First-order Decomposition Trees. NIPS Nima Taghipour, Jesse Davis, Hendrik Blockeel
2013	B	`conf`	Generalized Counting for Lifted Variable Elimination. ILP Nima Taghipour, Jesse Davis, Hendrik Blockeel
2013	B	`conf`	Generalizing from Example Clusters. Discovery Science Pan Hu, Celine Vens, Bart Verstrynge, Hendrik Blockeel
2013	J	`jnl`	Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Data Min. Knowl. Discov. Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	J	`jnl`	Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Mach. Learn. Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	J	`jnl`	Lifted Variable Elimination: Decoupling the Operators from the Constraint Language. J. Artif. Intell. Res. Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I ECML/PKDD (1) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II ECML/PKDD (2) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III ECML/PKDD (3) Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2013	A	`conf`	Multi-objective optimization with surrogate trees. GECCO Denny Verbeeck, Francis Maes, Kurt De Grave, Hendrik Blockeel
2013	—	`conf`	On the Completeness of Lifted Variable Elimination. StarAI@AAAI Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2013	J	`jnl`	On the inference of non-confluent NLC graph grammars. J. Log. Comput. Robert Brijder, Hendrik Blockeel
2013	J	`jnl`	Predicate Logic as a Modeling Language: Modeling and Solving some Machine Learning and Data Mining Problems with IDP3. CoRR Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer
2013	—	`conf`	SCCQL : A Constraint-Based Clustering System. ECML/PKDD (3) Antoine Adam, Hendrik Blockeel, Sander Govers, Abram Aertsen
2013	—	`conf`	Semi-supervised Clustering with Example Clusters. KDIR/KMIS Celine Vens, Bart Verstrynge, Hendrik Blockeel
2013	—	`ch.`	Statistical Relational Learning. Handbook on Neural Information Processing Hendrik Blockeel
2012	J	`jnl`	A Revised Publication Model for ECML PKDD CoRR Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
2012	J	`jnl`	An inductive database system based on virtual mining views. Data Min. Knowl. Discov. Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2012	J	`jnl`	Experiment databases - A new way to share, organize and learn from experiments. Mach. Learn. Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
2012	A	`conf`	Lifted Variable Elimination with Arbitrary Constraints. AISTATS Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel
2012	J	`jnl`	Lifted Variable Elimination: A Novel Operator and Completeness Results CoRR Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2012	—	`conf`	Modeling Machine Learning and Data Mining Problems with FO(·). ICLP (Technical Communications) Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes De Cat, Stef De Pooter, Marc Denecker, Anthony Labarre, Jan Ramon, Sicco Verwer
2012	J	`jnl`	Outlier detection in relational data: A case study in geographical information systems. Expert Syst. Appl. Joris Maervoet, Celine Vens, Greet Vanden Berghe, Hendrik Blockeel, Patrick De Causmaecker
2012	J	`jnl`	Predicting Genes Involved in Human Cancer Using Network Contextual Information. J. Integr. Bioinform. Hossein Rahmani, Hendrik Blockeel, Andreas Bender
2011	C	`conf`	Characterizing Compressibility of Disjoint Subgraphs with NLC Grammars. LATA Robert Brijder, Hendrik Blockeel
2011	B	`conf`	Collaboration-Based Function Prediction in Protein-Protein Interaction Networks. IDA Hossein Rahmani, Hendrik Blockeel, Andreas Bender
2011	J	`jnl`	Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Mach. Learn. Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan
2011	C	`conf`	Improving the Accuracy of Similarity Measures by Using Link Information. ISMIS Tijn Witsenburg, Hendrik Blockeel
2011	J	`jnl`	Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs CoRR Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele
2011	C	`conf`	K-Means Based Approaches to Clustering Nodes in Annotated Graphs. ISMIS Tijn Witsenburg, Hendrik Blockeel
2011	J	`jnl`	Neural networks for relational learning: an experimental comparison. Mach. Learn. Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli
2011	—	`conf`	Predictive Learning in Two-Way Datasets. ILP (Late Breaking Papers) Beau Piccart, Hendrik Blockeel, Andy Georges, Lieven Eeckhout
2011	—	`conf`	Ranking commercial machines through data transposition. IISWC Beau Piccart, Andy Georges, Hendrik Blockeel, Lieven Eeckhout
2010	—	`ch.`	A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2010	J	`jnl`	A comparison of pruning criteria for probability trees. Mach. Learn. Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
2010	A	`conf`	Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. SDM Beau Piccart, Jan Struyf, Hendrik Blockeel
2010	—	`ch.`	Bias Specification Language. Encyclopedia of Machine Learning Hendrik Blockeel
2010	—	`conf`	Collaboration-based Social Tag Prediction in the Graph of Annotated Web Pages. NyNaK Hossein Rahmani, Behrooz Nobakht, Hendrik Blockeel
2010	—	`ch.`	Experiment Databases. Inductive Databases and Constraint-Based Data Mining Joaquin Vanschoren, Hendrik Blockeel
2010	—	`conf`	First-Order Bayes-Ball. ECML/PKDD (2) Wannes Meert, Nima Taghipour, Hendrik Blockeel
2010	—	`ch.`	Hypothesis Language. Encyclopedia of Machine Learning Hendrik Blockeel
2010	—	`ch.`	Hypothesis Space. Encyclopedia of Machine Learning Hendrik Blockeel
2010	—	`ch.`	Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet
2010	B	`conf`	InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. IDA Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok
2010	—	`ch.`	Multi-Instance Learning. Encyclopedia of Machine Learning Soumya Ray, Stephen Scott, Hendrik Blockeel
2010	—	`ch.`	Observation Language. Encyclopedia of Machine Learning Hendrik Blockeel
2010	—	`ch.`	Predicting Gene Function using Predictive Clustering Trees. Inductive Databases and Constraint-Based Data Mining Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010	J	`jnl`	Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinform. Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010	—	`conf`	Predicting the functions of proteins in Protein-Protein Interaction networks from global information. MLSB Hossein Rahmani, Hendrik Blockeel, Andreas Bender
2010	J	`jnl`	Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis. J. Medical Syst. Kristien Van Loon, Fabian Güiza Grandas, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe, Daniel Berckmans
2010	—	`ch.`	Relational Learning. Encyclopedia of Machine Learning Jan Struyf, Hendrik Blockeel
2010	—	`conf`	Top-Down Induction of Phylogenetic Trees. EvoBIO Celine Vens, Eduardo P. Costa, Hendrik Blockeel
2009	—	`conf`	A Community-Based Platform for Machine Learning Experimentation. ECML/PKDD (2) Joaquin Vanschoren, Hendrik Blockeel
2009	B	`conf`	CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. ILP Wannes Meert, Jan Struyf, Hendrik Blockeel
2009	—	`conf`	Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability. MIE Kristien Van Loon, Fabian Güiza Grandas, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe, Daniel Berckmans
2009	—	`conf`	First-Order Bayes-Ball for CP-Logic. MLG/SRL@ILP Nima Taghipour, Wannes Meert, Jan Struyf, Hendrik Blockeel
2009	J	`jnl`	Non-Confluent NLC Graph Grammar Inference by Compressing Disjoint Subgraphs. CoRR Hendrik Blockeel, Robert Brijder
2009	—	`ed.`	Proceedings of the Joint 7th Workshop on Mining and Learning with Graphs and the 6th International Workshop on Statistical Relational Learning, MLG/SRL@ILP 2009, Leuven, Belgium, July 2-4, 2009 MLG/SRL@ILP Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan
2008	B	`conf`	A Comparison between Neural Network Methods for Learning Aggregate Functions. Discovery Science Werner Uwents, Hendrik Blockeel
2008	B	`conf`	An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. Discovery Science Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2008	A*	`conf`	An inductive database prototype based on virtual mining views. KDD Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2008	J	`jnl`	Decision trees for hierarchical multi-label classification. Mach. Learn. Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel
2008	B	`conf`	Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. Discovery Science Beau Piccart, Jan Struyf, Hendrik Blockeel
2008	B	`conf`	Exposing the Causal Structure of Processes by Learning CP-Logic Programs. PRICAI Hendrik Blockeel
2008	J	`jnl`	Generalized ordering-search for learning directed probabilistic logical models. Mach. Learn. Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
2008	J	`jnl`	Guest editors' introduction: special issue on inductive logic programming (ILP-2007). Mach. Learn. Hendrik Blockeel, Jude W. Shavlik, Prasad Tadepalli
2008	—	`conf`	Induction of Node Label Controlled Graph Grammar Rules. MLG@ICML Hendrik Blockeel, Siegfried Nijssen
2008	B	`ed.`	Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers ILP Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli
2008	B	`conf`	Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach. ILP Werner Uwents, Hendrik Blockeel
2008	J	`jnl`	Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundam. Informaticae Wannes Meert, Jan Struyf, Hendrik Blockeel
2008	J	`jnl`	Learning directed probabilistic logical models: ordering-search versus structure-search. Ann. Math. Artif. Intell. Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2008	A*	`conf`	Mining Views: Database Views for Data Mining. ICDE Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado
2008	C	`conf`	Organizing the World's Machine Learning Information. ISoLA Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes
2007	A*	`conf`	Analyzing commercial processor performance numbers for predicting performance of applications of interest. SIGMETRICS Kenneth Hoste, Lieven Eeckhout, Hendrik Blockeel
2007	—	`conf`	Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. PKDD Hendrik Blockeel, Joaquin Vanschoren
2007	—	`conf`	Graphs, Hypergraphs, and Inductive Logic Programming. MLG Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok
2007	—	`conf`	Investigating Classifier Learning Behavior with Experiment Databases. GfKl Joaquin Vanschoren, Hendrik Blockeel
2007	B	`conf`	Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2007	—	`conf`	Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
2007	J	`jnl`	Mining data from intensive care patients. Adv. Eng. Informatics Jan Ramon, Daan Fierens, Fabian Güiza Grandas, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe
2007	A*	`conf`	Online Learning and Exploiting Relational Models in Reinforcement Learning. IJCAI Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
2007	B	`conf`	Seeing the Forest Through the Trees. ILP Anneleen Van Assche, Hendrik Blockeel
2007	—	`conf`	Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. ECML Anneleen Van Assche, Hendrik Blockeel
2006	J	`jnl`	A simple regression based heuristic for learning model trees. Intell. Data Anal. Celine Vens, Hendrik Blockeel
2006	—	`conf`	Bagging Using Statistical Queries. ECML Anneleen Van Assche, Hendrik Blockeel
2006	—	`conf`	Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. PKDD Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
2006	J	`jnl`	First order random forests: Learning relational classifiers with complex aggregates. Mach. Learn. Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski
2006	B	`conf`	Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
2006	J	`jnl`	Information extraction from structured documents using Data Knowl. Eng. Raymond Kosala, Hendrik Blockeel, Maurice Bruynooghe, Jan Van den Bussche
2006	—	`conf`	Integrating Decision Tree Learning into Inductive Databases. KDID Élisa Fromont, Hendrik Blockeel, Jan Struyf
2006	J	`jnl`	Introduction to the special issue on multi-relational data mining and statistical relational learning. Mach. Learn. Hendrik Blockeel, David D. Jensen, Stefan Kramer
2006	B	`conf`	ReMauve: A Relational Model Tree Learner. ILP Celine Vens, Jan Ramon, Hendrik Blockeel
2006	—	`conf`	Refining Aggregate Conditions in Relational Learning. PKDD Celine Vens, Jan Ramon, Hendrik Blockeel
2006	B	`conf`	Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. ILP Hendrik Blockeel, Wannes Meert
2005	—	`conf`	A Comparison of Approaches for Learning Probability Trees. ECML Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
2005	B	`conf`	Classifying Relational Data with Neural Networks. ILP Werner Uwents, Hendrik Blockeel
2005	—	`conf`	Experiment Databases: A Novel Methodology for Experimental Research. KDID Hendrik Blockeel
2005	Misc	`conf`	Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare
2005	—	`conf`	Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. BNAIC Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
2005	B	`conf`	Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
2005	J	`jnl`	Multi-Relational Data Mining 2005: workshop report. SIGKDD Explor. Hendrik Blockeel, Saso Dzeroski
2005	A*	`conf`	Multi-instance tree learning. ICML Hendrik Blockeel, David Page, Ashwin Srinivasan
2004	J	`jnl`	Compact Representation of Knowledge Bases in Inductive Logic Programming. Mach. Learn. Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel
2004	J	`jnl`	Experiments In Predicting Biodegradability. Appl. Artif. Intell. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
2004	B	`conf`	First Order Random Forests with Complex Aggregates. ILP Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski
2004	J	`jnl`	Multi-relational data mining 2004: workshop report. SIGKDD Explor. Saso Dzeroski, Hendrik Blockeel
2003	A*	`conf`	Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference. IJCAI Raymond Kosala, Maurice Bruynooghe, Jan Van den Bussche, Hendrik Blockeel
2003	—	`ed.`	Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings PKDD Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
2003	—	`ed.`	Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings ECML Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel
2003	B	`conf`	Query Optimization in Inductive Logic Programming by Reordering Literals. ILP Jan Struyf, Hendrik Blockeel
2003	J	`jnl`	Query Transformations for Improving the Efficiency of ILP Systems. J. Mach. Learn. Res. Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer
2003	J	`jnl`	Scalability and efficiency in multi-relational data mining. SIGKDD Explor. Hendrik Blockeel, Michèle Sebag
2003	—	`conf`	User Modeling with Sequential Data. HCI (4) Nico Jacobs, Hendrik Blockeel
2002	B	`conf`	Compact Representation of Knowledge Bases in ILP. ILP Jan Struyf, Jan Ramon, Hendrik Blockeel
2002	J	`jnl`	Deriving biased classifiers for better ROC performance. Informatica (Slovenia) Hendrik Blockeel, Jan Struyf
2002	J	`jnl`	Efficient Algorithms for Decision Tree Cross-validation. J. Mach. Learn. Res. Hendrik Blockeel, Jan Struyf
2002	J	`jnl`	Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs. J. Artif. Intell. Res. Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele
2002	—	`conf`	Information Extraction in Structured Documents Using Tree Automata Induction. PKDD Raymond Kosala, Jan Van den Bussche, Maurice Bruynooghe, Hendrik Blockeel
2002	—	`conf`	Ranking with Predictive Clustering Trees. ECML Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
2001	—	`conf`	Detecting Temporal Change in Event Sequences: An Application to Demographic Data. PKDD Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari
2001	B	`conf`	Efficient Cross-Validation in ILP. ILP Jan Struyf, Hendrik Blockeel
2001	J	`jnl`	Efficient algorithms for decision tree cross-validation CoRR Hendrik Blockeel, Jan Struyf
2001	A*	`conf`	Efficient algorithms for decision tree cross-validation. ICML Hendrik Blockeel, Jan Struyf
2001	B	`conf`	From Shell Logs to Shell Scripts. ILP Nico Jacobs, Hendrik Blockeel
2001	—	`conf`	Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML Kurt Driessens, Jan Ramon, Hendrik Blockeel
2001	—	`conf`	The Learning Shell: Automated Macro Construction. User Modeling Nico Jacobs, Hendrik Blockeel
2000	B	`conf`	Executing Query Packs in ILP. ILP Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele
2000	—	`conf`	Learning a Go Heuristic with TILDE. Computers and Games Jan Ramon, Tom Francis, Hendrik Blockeel
2000	—	`conf`	Multi-Relational Data Mining, Using UML for ILP. PKDD Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen
2000	J	`jnl`	Scaling Up Inductive Logic Programming by Learning from Interpretations CoRR Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen
2000	J	`jnl`	Top-down induction of clustering trees CoRR Hendrik Blockeel, Luc De Raedt, Jan Ramon
2000	—	`conf`	Two Advanced Transormations for Improving the Efficiency of an ILP system. ILP Work-in-progress reports Hendrik Blockeel, Bart Demoen, Gerda Janssens, Henk Vandecasteele, Wim Van Laer
2000	J	`jnl`	Web Mining Research: A Survey CoRR Raymond Kosala, Hendrik Blockeel
2000	J	`jnl`	Web Mining Research: A Survey. SIGKDD Explor. Raymond Kosala, Hendrik Blockeel
1999	B	`conf`	Experiments in Predicting Biodegradability. ILP Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
1999	—	`conf`	Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. PKDD Luc De Raedt, Hendrik Blockeel
1999	J	`jnl`	Scaling Up Inductive Logic Programming by Learning from Interpretations. Data Min. Knowl. Discov. Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen
1999	—	`conf`	Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. PKDD Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic
1999	J	`jnl`	Top-Down Induction of First Order Logical Decision Trees. AI Commun. Hendrik Blockeel
1998	J	`jnl`	Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming. Appl. Artif. Intell. Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck, Hendrik Blockeel
1998	J	`jnl`	Isidd: An Interactive System for Inductive Database Design. Appl. Artif. Intell. Hendrik Blockeel, Luc De Raedt
1998	A*	`conf`	Relational Reinforcement Learning. ICML Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
1998	B	`conf`	Relational Reinforcement Learning. ILP Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
1998	A*	`conf`	Top-Down Induction of Clustering Trees. ICML Hendrik Blockeel, Luc De Raedt, Jan Ramon
1998	J	`jnl`	Top-Down Induction of First-Order Logical Decision Trees. Artif. Intell. Hendrik Blockeel, Luc De Raedt
1997	B	`conf`	Lookahead and Discretization in ILP. ILP Hendrik Blockeel, Luc De Raedt
1997	B	`conf`	Using Logical Decision Trees for Clustering. ILP Luc De Raedt, Hendrik Blockeel
1996	C	`conf`	Inductive Database Design. ISMIS Hendrik Blockeel, Luc De Raedt
1996	B	`conf`	Relational Knowledge Discovery in Databases. Inductive Logic Programming Workshop Hendrik Blockeel, Luc De Raedt