Hendrik Blockeel

Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet: An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24(1): 247-287 (2012)

Joris Maervoet, Celine Vens, Greet Vanden Berghe, Hendrik Blockeel, Patrick De Causmaecker: Outlier detection in relational data: A case study in geographical information systems. Expert Syst. Appl. 39(5): 4718-4728 (2012)

Hossein Rahmani, Hendrik Blockeel, Andreas Bender: Predicting Genes Involved in Human Cancer Using Network Contextual Information. J. Integrative Bioinformatics 9(1) (2012)

Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel: Lifted Variable Elimination with Arbitrary Constraints. Journal of Machine Learning Research - Proceedings Track 22: 1194-1202 (2012)

Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Experiment databases - A new way to share, organize and learn from experiments. Machine Learning 87(2): 127-158 (2012)

Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes de Cat, Stef De Pooter: Modeling Machine Learning and Data Mining Problems with FO(·). ICLP (Technical Communications) 2012: 14-25

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný: A Revised Publication Model for ECML PKDD. CoRR abs/1207.6324 (2012)

Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel: Lifted Variable Elimination: A Novel Operator and Completeness Results. CoRR abs/1208.3809 (2012)

Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli: Neural networks for relational learning: an experimental comparison. Machine Learning 82(3): 315-349 (2011)

Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan: Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Machine Learning 83(2): 133-135 (2011)

Hossein Rahmani, Hendrik Blockeel, Andreas Bender: Collaboration-Based Function Prediction in Protein-Protein Interaction Networks. IDA 2011: 318-327

Beau Piccart, Andy Georges, Hendrik Blockeel, Lieven Eeckhout: Ranking commercial machines through data transposition. IISWC 2011: 3-14

Tijn Witsenburg, Hendrik Blockeel: K-Means Based Approaches to Clustering Nodes in Annotated Graphs. ISMIS 2011: 346-357

Tijn Witsenburg, Hendrik Blockeel: Improving the Accuracy of Similarity Measures by Using Link Information. ISMIS 2011: 501-512

Robert Brijder, Hendrik Blockeel: Characterizing Compressibility of Disjoint Subgraphs with NLC Grammars. LATA 2011: 167-178

Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs. CoRR abs/1106.1803 (2011)

Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski: Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinformatics 11: 2 (2010)

Hossein Rahmani, Hendrik Blockeel, Andreas Bender: Predicting the functions of proteins in Protein-Protein Interaction networks from global information. Journal of Machine Learning Research - Proceedings Track 8: 82-97 (2010)

Kristien Van Loon, Fabián Güiza, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe, Daniel Berckmans: Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis. J. Medical Systems 34(3): 229-239 (2010)

Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: A comparison of pruning criteria for probability trees. Machine Learning 78(1-2): 251-285 (2010)

Celine Vens, Eduardo Costa, Hendrik Blockeel: Top-Down Induction of Phylogenetic Trees. EvoBIO 2010: 62-73

Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok: InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. IDA 2010: 91-102

Wannes Meert, Nima Taghipour, Hendrik Blockeel: First-Order Bayes-Ball. ECML/PKDD (2) 2010: 369-384

Beau Piccart, Jan Struyf, Hendrik Blockeel: Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. SDM 2010: 189-198

Hendrik Blockeel: Bias Specification Language. Encyclopedia of Machine Learning 2010: 98-100

Hendrik Blockeel: Hypothesis Language. Encyclopedia of Machine Learning 2010: 507-511

Hendrik Blockeel: Hypothesis Space. Encyclopedia of Machine Learning 2010: 511-513

Soumya Ray, Stephen Scott, Hendrik Blockeel: Multi-Instance Learning. Encyclopedia of Machine Learning 2010: 701-710

Hendrik Blockeel: Observation Language. Encyclopedia of Machine Learning 2010: 733-735

Jan Struyf, Hendrik Blockeel: Relational Learning. Encyclopedia of Machine Learning 2010: 851-857

Wannes Meert, Jan Struyf, Hendrik Blockeel: CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. ILP 2009: 96-109

Kristien Van Loon, Fabián Güiza, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greet Vanden Berghe, Daniel Berckmans: Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability. MIE 2009: 590-594

Joaquin Vanschoren, Hendrik Blockeel: A Community-Based Platform for Machine Learning Experimentation. ECML/PKDD (2) 2009: 750-754

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning directed probabilistic logical models: ordering-search versus structure-search. Ann. Math. Artif. Intell. 54(1-3): 99-133 (2008)

Wannes Meert, Jan Struyf, Hendrik Blockeel: Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundam. Inform. 89(1): 131-160 (2008)

Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized ordering-search for learning directed probabilistic logical models. Machine Learning 70(2-3): 169-188 (2008)

Hendrik Blockeel, Jude W. Shavlik, Prasad Tadepalli: Guest editors' introduction: special issue on inductive logic programming (ILP-2007). Machine Learning 73(1): 1-2 (2008)

Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel: Decision trees for hierarchical multi-label classification. Machine Learning 73(2): 185-214 (2008)

Beau Piccart, Jan Struyf, Hendrik Blockeel: Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. Discovery Science 2008: 64-75

Werner Uwents, Hendrik Blockeel: A Comparison between Neural Network Methods for Learning Aggregate Functions. Discovery Science 2008: 88-99

Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. Discovery Science 2008: 197-209

Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado: Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611

Werner Uwents, Hendrik Blockeel: Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach. ILP 2008: 315-329

Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Organizing the World's Machine Learning Information. ISoLA 2008: 693-708

Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet: An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064

Hendrik Blockeel: Exposing the Causal Structure of Processes by Learning CP-Logic Programs. PRICAI 2008: 2

Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli (Eds.): Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4894, Springer 2008, isbn 978-3-540-78468-5

Jan Ramon, Daan Fierens, Fabián Güiza, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greet Vanden Berghe: Mining data from intensive care patients. Advanced Engineering Informatics 21(3): 243-256 (2007)

Anneleen Van Assche, Hendrik Blockeel: Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. ECML 2007: 418-429

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML 2007: 567-574

Joaquin Vanschoren, Hendrik Blockeel: Investigating Classifier Learning Behavior with Experiment Databases. GfKl 2007: 421-428

Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: Online Learning and Exploiting Relational Models in Reinforcement Learning. IJCAI 2007: 726-731

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP 2007: 24

Anneleen Van Assche, Hendrik Blockeel: Seeing the Forest Through the Trees. ILP 2007: 269-279

Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok: Graphs, Hypergraphs, and Inductive Logic Programming. MLG 2007

Hendrik Blockeel, Joaquin Vanschoren: Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. PKDD 2007: 6-17

Kenneth Hoste, Lieven Eeckhout, Hendrik Blockeel: Analyzing commercial processor performance numbers for predicting performance of applications of interest. SIGMETRICS 2007: 375-376

Raymond Kosala, Hendrik Blockeel, Maurice Bruynooghe, Jan Van den Bussche: Information extraction from structured documents using k-testable tree automaton inference. Data Knowl. Eng. 58(2): 129-158 (2006)

Celine Vens, Hendrik Blockeel: A simple regression based heuristic for learning model trees. Intell. Data Anal. 10(3): 215-236 (2006)

Hendrik Blockeel, David Jensen, Stefan Kramer: Introduction to the special issue on multi-relational data mining and statistical relational learning. Machine Learning 62(1-2): 3-5 (2006)

Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski: First order random forests: Learning relational classifiers with complex aggregates. Machine Learning 64(1-3): 149-182 (2006)

Anneleen Van Assche, Hendrik Blockeel: Bagging Using Statistical Queries. ECML 2006: 809-816

Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP 2006: 40-42

Hendrik Blockeel, Wannes Meert: Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. ILP 2006: 94-108

Celine Vens, Jan Ramon, Hendrik Blockeel: ReMauve: A Relational Model Tree Learner. ILP 2006: 424-438

Élisa Fromont, Hendrik Blockeel, Jan Struyf: Integrating Decision Tree Learning into Inductive Databases. KDID 2006: 81-96

Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare: Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. PKDD 2006: 18-29

Celine Vens, Jan Ramon, Hendrik Blockeel: Refining Aggregate Conditions in Relational Learning. PKDD 2006: 383-394

Hendrik Blockeel, Saso Dzeroski: Multi-Relational Data Mining 2005: workshop report. SIGKDD Explorations 7(2): 126-128 (2005)

Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. BNAIC 2005: 343-344

Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: A Comparison of Approaches for Learning Probability Trees. ECML 2005: 556-563

Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare: Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA 2005: 272-283

Hendrik Blockeel, David Page, Ashwin Srinivasan: Multi-instance tree learning. ICML 2005: 57-64

Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP 2005: 121-135

Werner Uwents, Hendrik Blockeel: Classifying Relational Data with Neural Networks. ILP 2005: 384-396

Hendrik Blockeel: Experiment Databases: A Novel Methodology for Experimental Research. KDID 2005: 72-85

Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004)

Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel: Compact Representation of Knowledge Bases in Inductive Logic Programming. Machine Learning 57(3): 305-333 (2004)

Saso Dzeroski, Hendrik Blockeel: Multi-relational data mining 2004: workshop report. SIGKDD Explorations 6(2): 140-141 (2004)

Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski: First Order Random Forests with Complex Aggregates. ILP 2004: 323-340

Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer: Query Transformations for Improving the Efficiency of ILP Systems. Journal of Machine Learning Research 4: 465-491 (2003)

Hendrik Blockeel, Michèle Sebag: Scalability and efficiency in multi-relational data mining. SIGKDD Explorations 5(1): 17-30 (2003)

Raymond Kosala, Maurice Bruynooghe, Jan Van den Bussche, Hendrik Blockeel: Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference. IJCAI 2003: 403-408

Jan Struyf, Hendrik Blockeel: Query Optimization in Inductive Logic Programming by Reordering Literals. ILP 2003: 329-346

Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel (Eds.): Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings. Lecture Notes in Computer Science 2837, Springer 2003, isbn 3-540-20121-1

Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski (Eds.): 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. Lecture Notes in Computer Science 2838, Springer 2003, isbn 3-540-20085-1

Hendrik Blockeel, Jan Struyf: Deriving biased classifiers for better ROC performance. Informatica (Slovenia) 26(1) (2002)

Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs. J. Artif. Intell. Res. (JAIR) 16: 135-166 (2002)

Hendrik Blockeel, Jan Struyf: Efficient Algorithms for Decision Tree Cross-validation. Journal of Machine Learning Research 3: 621-650 (2002)

Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski: Ranking with Predictive Clustering Trees. ECML 2002: 444-455

Jan Struyf, Jan Ramon, Hendrik Blockeel: Compact Representation of Knowledge Bases in ILP. ILP 2002: 254-269

Raymond Kosala, Jan Van den Bussche, Maurice Bruynooghe, Hendrik Blockeel: Information Extraction in Structured Documents Using Tree Automata Induction. PKDD 2002: 299-310

Kurt Driessens, Jan Ramon, Hendrik Blockeel: Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML 2001: 97-108

Hendrik Blockeel, Jan Struyf: Efficient algorithms for decision tree cross-validation. ICML 2001: 11-18

Nico Jacobs, Hendrik Blockeel: From Shell Logs to Shell Scripts. ILP 2001: 80-90

Jan Struyf, Hendrik Blockeel: Efficient Cross-Validation in ILP. ILP 2001: 228-239

Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari: Detecting Temporal Change in Event Sequences: An Application to Demographic Data. PKDD 2001: 29-41

Nico Jacobs, Hendrik Blockeel: The Learning Shell: Automated Macro Construction. User Modeling 2001: 34-43

Hendrik Blockeel, Jan Struyf: Efficient algorithms for decision tree cross-validation. CoRR cs.LG/0110036 (2001)

Raymond Kosala, Hendrik Blockeel: Web Mining Research: A Survey. SIGKDD Explorations 2(1): 1-15 (2000)

Jan Ramon, Tom Francis, Hendrik Blockeel: Learning a Go Heuristic with TILDE. Computers and Games 2000: 151-169

Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Executing Query Packs in ILP. ILP 2000: 60-77

Hendrik Blockeel, Bart Demoen, Gerda Janssens, Henk Vandecasteele, Wim Van Laer: Two Advanced Transormations for Improving the Efficiency of an ILP system. ILP Work-in-progress reports 2000

Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen: Multi-Relational Data Mining, Using UML for ILP. PKDD 2000: 1-12

Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees. CoRR cs.LG/0011032 (2000)

Raymond Kosala, Hendrik Blockeel: Web Mining Research: A Survey. CoRR cs.LG/0011033 (2000)

Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations. CoRR cs.LG/0011044 (2000)

Hendrik Blockeel: Top-Down Induction of First Order Logical Decision Trees. AI Commun. 12(1-2): 119-120 (1999)

Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations. Data Min. Knowl. Discov. 3(1): 59-93 (1999)

Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91

Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic: Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. PKDD 1999: 32-40

Luc De Raedt, Hendrik Blockeel: Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. PKDD 1999: 590

Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck, Hendrik Blockeel: Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming. Applied Artificial Intelligence 12(5): 363-383 (1998)

Hendrik Blockeel, Luc De Raedt: Isidd: An Interactive System for Inductive Database Design. Applied Artificial Intelligence 12(5): 385-420 (1998)

Hendrik Blockeel, Luc De Raedt: Top-Down Induction of First-Order Logical Decision Trees. Artif. Intell. 101(1-2): 285-297 (1998)

Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-Down Induction of Clustering Trees. ICML 1998: 55-63

Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ICML 1998: 136-143

Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ILP 1998: 11-22

Hendrik Blockeel, Luc De Raedt: Lookahead and Discretization in ILP. ILP 1997: 77-84

Luc De Raedt, Hendrik Blockeel: Using Logical Decision Trees for Clustering. ILP 1997: 133-140

Hendrik Blockeel, Luc De Raedt: Relational Knowledge Discovery in Databases. Inductive Logic Programming Workshop 1996: 199-211

Hendrik Blockeel, Luc De Raedt: Inductive Database Design. ISMIS 1996: 376-385