Publications of Hendrik Blockeel
period 2008 - 2013
Articles in internationally reviewed journals
18 references- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Top-down clustering for protein subfamily identification, Evolutionary Bioinformatics Online, 2013 (Accepted)
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- Shamsinejadbabaki, Pirooz;
Saraee, Mohamad;
Blockeel, Hendrik.
Causality-based cost-effective action mining, Intelligent Data Analysis, 2013 (Accepted)
- Taghipour, Nima;
Fierens, Daan;
Davis, Jesse;
Blockeel, Hendrik.
Lifted variable elimination: Decoupling the operators from the constraint language, The Journal of Artificial Intelligence Research, 2013 (Accepted)
- Blockeel, Hendrik;
Calders, Toon;
Fromont, Elisa;
Goethals, Bart;
Prado, Adriana;
Robardet, Celine.
An inductive database system based on virtual mining views, Data Mining and Knowledge Discovery, volume 24, issue 1, pages 247-287, 2012
- Maervoet, Joris;
Vens, Celine;
Vanden Berghe, Greet;
Blockeel, Hendrik;
De Causmaecker, Patrick.
Outlier detection in relational data: a case study in geographical information systems, Expert Systems with Applications, volume 39, issue 5, pages 4718-4728, 2012
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Predicting genes involved in human cancer using network contextual information, Journal of Integrative Bioinformatics, volume 9, issue 1, pages 1-28, 2012
- Vanschoren, Joaquin;
Blockeel, Hendrik;
Pfahringer, Bernhard;
Holmes, Geoffrey.
Experiment databases. A new way to share, organize and learn from experiments, Machine Learning, volume 87, issue 2, pages 127-158, 2012
- Blockeel, Hendrik;
Borgwardt, Karsten M.;
De Raedt, Luc;
Domingos, Pedro;
Kersting, Kristian;
Yan, Xifeng.
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning, Machine Learning, volume 83, issue 2, pages 133-135, 2011
- Brijder, Robert;
Blockeel, Hendrik.
On the inference of non-confluent NLC graph grammars, Journal of Logic and Computation, issue accepted, 2011 (Accepted)
- Uwents, Werner;
Monfardini, Gabriele;
Blockeel, Hendrik;
Gori, Marco;
Scarselli, Franco.
Neural networks for relational learning: An experimental comparison, Machine Learning, volume 82, issue 3, pages 315-349, 2011
- Fierens, Daan;
Ramon, Jan;
Blockeel, Hendrik;
Bruynooghe, Maurice.
A comparison of pruning criteria for probability trees, Machine Learning, volume 78, issue 1-2, pages 251-285, 2010
- Schietgat, Leander;
Vens, Celine;
Struyf, Jan;
Blockeel, Hendrik;
Kocev, Dragi;
Dzeroski, Saso.
Predicting gene function using hierarchical multi-label decision tree ensembles, BMC Bioinformatics, volume 11, issue 2, 2010
- Van Loon, Kristien;
Guiza Grandas, Fabian;
Meyfroidt, Geert;
Aerts, Jean-Marie;
Ramon, Jan;
Blockeel, Hendrik;
Bruynooghe, Maurice;
Van den Berghe, Greet;
Berckmans, Daniel.
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis, Journal of Medical Systems, volume 34, issue 3, pages 229-239, 2010
- Blockeel, Hendrik;
Shavlik, Jude;
Tadepalli, Prasad.
Guest editors’ introduction: Special issue on inductive logic programming (ILP-2007), Machine Learning, volume 73, issue 1, pages 1-2, 2008
- Fierens, Daan;
Ramon, Jan;
Bruynooghe, Maurice;
Blockeel, Hendrik.
Learning directed probabilistic logical models: Ordering-search versus structure-search, Annals of Mathematics and Artificial Intelligence, volume 54, issue 1-3, pages 99-133, 2008
- Meert, Wannes;
Struyf, Jan;
Blockeel, Hendrik.
Learning ground CP-logic theories by leveraging Bayesian network learning techniques, Fundamenta Informaticae, volume 89, issue 1, pages 131-160, 2008
- Ramon, Jan;
Croonenborghs, Tom;
Fierens, Daan;
Blockeel, Hendrik;
Bruynooghe, Maurice.
Generalized ordering-search for learning directed probabilistic logical models, Machine Learning, volume 70, issue 2-3, pages 169-188, 2008
- Vens, Celine;
Struyf, Jan;
Schietgat, Leander;
Dzeroski, Saso;
Blockeel, Hendrik.
Decision trees for hierarchical multi-label classification, Machine Learning, volume 73, issue 2, pages 185-214, 2008
Books, internationally recognised scientific publisher; as editor
2 references- Blockeel, Hendrik;
Ramon, Jan;
Shavlik, Jude;
Tadepalli, Prasad (eds.),
Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers, Inductive Logic Programming, Corvallis, OR, USA, 19-21 June 2007, Lecture Notes in Computer Science, volume 4894, 307 pages, Springer, 2008, isbn 978-354-078-468-5
- Blockeel, Hendrik;
Shavlik, Jude;
Tadepalli, Prasad (eds.),
Special issue on Inductive Logic Programming (ILP 2007), International Conference on Inductive Logic Programming, Corvallis, Oregon, USA, 19-21 June 2007, Machine Learning, volume 73(1), 106 pages, Springer, 2008
Article in book, internationally recognised scientific publisher
8 references- Blockeel, Hendrik.
Statistical relational learning, Bianchini, Monica; Maggini, Marco; Jain, Lakhmi (eds.), Springer, 2013 (Accepted)
- Blockeel, Hendrik.
Hypothesis language, Sammut, Claude; Webb, Geoffrey (eds.), Springer, 2011
- Ray, Soumya;
Scott, Stephen;
Blockeel, Hendrik.
Multi-instance learning, Sammut, Claude; Webb, Geoff (eds.), Springer, 2011
- Blockeel, Hendrik;
Calders, Toon;
Fromont, Elisa;
Goethals, Bart;
Prado, Adriana;
Robardet, Céline.
A practical comparative study of data mining query languages, Dzeroski, Saso; Goethals, Bart; Panov, Pance (eds.), Springer, 2010
- Blockeel, Hendrik;
Calders, Toon;
Fromont, Elisa;
Goethals, Bart;
Prado, Adriana;
Robardet, Celine.
Inductive querying with virtual mining views, Dzeroski, Saso; Goethals, Bart; Panov, Pance (eds.), Springer, 2010
- Struyf, Jan;
Blockeel, Hendrik.
Relational learning, Sammut, Claude; Webb, Geoff (eds.), Springer, 2010
- Vanschoren, Joaquin;
Blockeel, Hendrik.
Experiment databases, Dzeroski, Saso; Goethals, Bart; Panov, Pance (eds.), Springer, 2010
- Vens, Celine;
Schietgat, Leander;
Struyf, Jan;
Blockeel, Hendrik;
Kocev, Dragi;
Dzeroski, Saso.
Predicting gene functions using predictive clustering trees, Dzeroski, Saso; Goethals, Bart; Panov, Pance (eds.), Springer, 2010
Papers at international conferences and symposia, published in full in proceedings
49 references- Taghipour, Nima;
Fierens, Daan;
Van den Broeck, Guy;
Davis, Jesse;
Blockeel, Hendrik.
Completeness results for lifted variable elimination, Carvalho, Carlos M.; Ravikumar, Pradeep (eds.), International Conference on Artificial Intelligence and Statistics (AISTATS), Scottsdale, USA, 29 April - 1 May 2013, Proceedings of the 16th International Conference on Artificial Intelligence and Statistics, JMLR Workshop and Conference Proceedings, volume 31, JMLR Workshop and Conference Proceedings (Accepted)
- Verbeeck, Denny;
Maes, Francis;
De Grave, Kurt;
Blockeel, Hendrik.
Multi-objective optimization with surrogate trees, GECCO, Amsterdam, 06-10 July 2013 (Accepted)
- Andrews, Tara;
Blockeel, Hendrik;
Bogaerts, Bart;
Bruynooghe, Maurice;
Denecker, Marc;
De Pooter, Stef;
Macé, Caroline;
Ramon, Jan.
Analyzing manuscript traditions using constraint-based data mining, First Workshop on Combining Constraint Solving with Mining and Learning, Montpellier, France, 27 August 2012, ECAI 2012 : 20th European Conference or Artificial Intelligence, S.n.
- Blockeel, Hendrik;
Bogaerts, Bart;
Bruynooghe, Maurice;
De Cat, Broes;
De Pooter, Stef;
Denecker, Marc;
Labarre, Anthony;
Ramon, Jan;
Verwer, Sicco.
Modeling Machine Learning and Data Mining Problems with FO(·), Dovier, Agostino; Santos Costa, Vítor (eds.), International Conference on Logic Programming, Budapest, September 4-8, 2012, Proceedings of the 28th International Conference on Logic Programming - Technical Communications (ICLP'12), pages 14 -25, Schloss Daghstuhl - Leibniz-Zentrum fuer Informatik
- Driessens, Kurt;
Vanwinckelen, Gitte;
Blockeel, Hendrik.
Meta-learning from an experiment database, Teaching Machine Learning Workshop, ICML, Edinburgh, Scotland, 30 June 2012
- Meert, Wannes;
Van den Broeck, Guy;
Taghipour, Nima;
Fierens, Daan;
Blockeel, Hendrik;
Davis, Jesse;
De Raedt, Luc.
Lifted inference for probabilistic programming, Probabilistic Programming Workshop, Lake Tahoe, 7-8 December 2012, Proceedings of the NIPS Probabilistic Programming Workshop
- Piccart, Beau;
Blockeel, Hendrik;
Georges, Andy;
Eeckhout, Lieven.
Predictive learning in two-way datasets, International Conference on Inductive Logic Programming, Windsor Great Park, 31 July - 3 August 2011, Latest Advances in Inductive Logic Programming, Imperial College Press, 2012 (Accepted)
- Taghipour, Nima;
Fierens, Daan;
Davis, Jesse;
Blockeel, Hendrik.
Lifted variable elimination with arbitrary constraints, International conference on artificial intelligence and statistics (AISTATS), La Palma, Canary Islands, 21-23 April 2012, Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, JMLR Workshop and Conference Proceedings, volume 22, pages 1194-1202, JMLR workshop and conference proceedings
- Vanwinckelen, Gitte;
Blockeel, Hendrik.
On estimating model accuracy with repeated cross-validation, De Baets, Bernard; Manderick, Bernard; Rademaker, Michaël; Waegeman, Willem (eds.), Belgian-Dutch Conference on Machine Learning (BeneLearn), Ghent, 24-25 May 2012, BeneLearn 2012: Proceedings of the 21st Belgian-Dutch Conference on Machine Learning, pages 39-44
- Brijder, Robert;
Blockeel, Hendrik.
Characterizing compressibility of disjoint subgraphs with NLC grammars, Dediu, Adrian Horia; Inenaga, Shunsuke; Martin-Vide, Carlos (eds.), International Conference on Language and Automata Theory and Applications, Tarragona, 26-28 May 2011, Proceedings of LATA-2011, Fifth International Conference on Language and Automata Theory and Applications, volume 6638, pages 167-178, Springer
- Piccart, Beau;
Georges, Andy;
Blockeel, Hendrik;
Eeckhout, Lieven.
Ranking commercial machines through data transposition, IEEE International Symposium on Workload Characterization, Austin, TX, USA, November 6-8, 2011, Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), pages 3-14
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Collaboration-based function prediction in protein-protein interaction networks, International Symposium on Advanced Data Analysis, Porto, Portugal, 29-31 October 2011, Lecture Notes in Computer Science, volume 7014, pages 318-327, Springer
- Tragante do O, Vinicius;
Fierens, Daan;
Blockeel, Hendrik.
Instance-level accuracy versus bag-level accuracy in multi-instance learning, Benelux Conference on Artificial Intelligence, Gent, Belgium, 3-4 November 2011, Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC), 8 pages
- Witsenburg, Tijn;
Blockeel, Hendrik.
K-means based approaches to clustering nodes in annotated graphs, International Symposium on Methodologies for Intelligent systems, Warsaw, Poland, 28-30 June 2011, Lecture Notes in Computer Science, volume 6804, pages 346-357, Springer
- Witsenburg, Tijn;
Blockeel, Hendrik.
Improving the accuracy of similarity measures by using link information, International Symposium on Methodologies for Intelligent systems, Warsaw, Poland, Lecture Notes in Computer Science, volume 6804, pages 501-512, Springer, 2011
- Blockeel, Hendrik;
Piccart, Beauregard;
Rahmani, Hossein;
Fierens, Daan.
Three complementary approaches to context aware movie recommendation, Workshop on Context-Aware Movie Recommendation, Barcelona, 30 september 2010, Proceedings of the Workshop on Context-Aware Movie Recommendation, pages 57-60, ACM
- Blockeel, Hendrik;
Rahmani, Hossein;
Witsenburg, Tijn.
On the importance of similarity measures for planning to learn, Brazdil, Pavel; Bernstein, Abraham; Kietz, Jörg-Uwe (eds.), International Workshop on Planning to Learn, Lisbon, Portugal, 17 August 2010, 19th European Conference on Artificial Intelligence, 3rd Planning to Learn Workshop, PlanLearn-2010, pages 69-74
- Knobbe, Arno;
Blockeel, Hendrik;
Koopman, Arne;
Calders, Toon;
Obladen, Bas;
Bosma, Carlos;
Galenkamp, Hessel;
Koenders, Eddy;
Kok, Joost.
InfraWatch: Data management of large systems for monitoring infrastructural performance, Intelligent Data Analysis (IDA), Tucson, Arizona, USA, 19-21 May 2010, Lecture Notes in Computer Science, volume 6065, pages 91-102, Springer
- Meert, Wannes;
Struyf, Jan;
Blockeel, Hendrik.
Contextual variable elimination with overlapping contexts, European Workshop on Probabilistic Graphical Models (PGM), Helsinki, Finland, 13-15 September 2010, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM2010), pages 193-201
- Meert, Wannes;
Taghipour, Nima;
Blockeel, Hendrik.
First-order Bayes-ball, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), Barcelona, Spain, 20-24 September 2010, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, pages 369-384, Springer
- Piccart, Beau;
Blockeel, Hendrik;
Struyf, Jan.
Alleviating the sparsity problem in collaborative filtering by using an adapted distance and a graph-based method, SIAM International Conference on Data Mining, Ohio, US, 29 April - 1 May 2010, Proceedings of the Tenth SIAM International Conference on Data Mining, pages 189-199, SIAM
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Predicting the functions of proteins in protein-protein interaction networks from global information, International Workshop on Machine Learning in Systems Biology, Ljubljana, Slovenia, 5-6 September 2009, JMLR: Workshop and Conference Proceedings, volume 8, pages 82-97, 2010
- Rahmani, Hossein;
Nobakht, Behrooz;
Blockeel, Hendrik.
Collaboration-based social tag prediction in the graph of annotated web pages, Pensa, Ruggero; Cordero, Francesca; Rouveirol, Celine; Kanawati, Rushed; Troyano, Jose; Rosso, Paolo (eds.), Workshop on Dynamic Networks and Knowledge Discovery, Barcelona, Spain, 24 September 2010, DyNaK 2010: Dynamic Networks and Knowledge Discovery, pages 1-12
- Van de Wiele, Tom;
Tragante Do O, Vinicius;
Alves da Silva, Ricardo Henrique;
Blockeel, Hendrik.
Knowledge discovery in panoramic X-rays for postmortem identification, Benelux Conference on Artificial Intelligence, Luxembourg, 25-26 October 2010, Proceedings of BNAIC, pages 1-6, BNAIC
- Vens, Celine;
De Paula Costa, Eduardo;
Blockeel, Hendrik.
Top-down induction of phylogenetic trees, European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Istanbul, Turkey, 7-9 April 2010, Lecture Notes in Computer Science, volume 6023, pages 62-73, Springer
- Blockeel, Hendrik;
Brijder, Robert.
Learning non-confluent NLC graph grammar rules, Computability in Europe, Heidelberg, Germany, 19-24 July 2009, Mathematical Theory and Computational Practice, Fifth Conference on Computability in Europe, CiE 2009, Heidelberg, Germany, July 19-24, 2009, Abstract Booklet, University of Heidelberg., pages 60-69
- Meert, Wannes;
Struyf, Jan;
Blockeel, Hendrik.
Experimental comparison of CP-logic theory inference methods, Belgian-Dutch Conference on Machine Learning (BeNeLearn), Tilburg, 18-19 May 2009, Proceedings of the 18th Annual Belgian-Dutch Conference on Machine Learning, pages 101-102
- Meert, Wannes;
Struyf, Jan;
Blockeel, Hendrik.
CP-logic theory inference with contextual variable elimination and comparison to BDD based inference methods, De Raedt, Luc (ed.), International Conference on Inductive Logic Programming (ILP), Leuven, Belgium, 1-4 July 2009, Proceedings of the 19th International Conference on Inductive Logic Programming (ILP’09), pages 1-6
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Predicting the functions of proteins in PPI networks from global information, Dzeroski, Saso; Geurts, Pierre; Rousu, Juho (eds.), International Workshop on Machine Learning in Systems Biology, Ljubljana, Slovenia, 5-6 September 2009, Machine Learning in Systems Biology, Proceedings of the Third International Workshop, Lubljana, Slovenia, September 5-6, 2009, pages 85-94, Helsinki University Printing House
- Taghipour, Nima;
Meert, Wannes;
Struyf, Jan;
Blockeel, Hendrik.
First-order Bayes-ball for CP-Logic, International Workshop on Statistical Relational Learning (SRL-2009), Leuven, Belgium, 2-4 July 2009, International Workshop on Statistical Relational Learning 2009, pages 1-3
- Van Loon, Kristien;
Guiza Grandas, Fabian;
Meyfroidt, Geert;
Aerts, Jean-Marie;
Ramon, Jan;
Blockeel, Hendrik;
Bruynooghe, Maurice;
Van den Berghe, Greet;
Berckmans, Daniel.
Dynamic data analysis and data mining for prediction of clinical stability, 22th Medical Informatics Europe, Sarajevo, Bosnia&Herzegovina, 30 august - 2 september 2009, Studies in Health Technology and Informatics, volume 150, pages 590-594, I O S Press
- Vanschoren, Joaquin;
Blockeel, Hendrik.
A community-based platform for machine learning experimentation, European Conference on Machine Learning and Knowledge Discovery in Databases, Bled, Slovenia, 7-11 September 2009, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Lecture Notes In Computer Science, volume 5782, pages 750-754, Springer
- Vanschoren, Joaquin;
Blockeel, Hendrik.
Stand on the shoulders of giants. Towards a portal for collaborative experimentation in data mining, European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD) International Workshop on Third Generation Data Mining (SoKD-09), Bled, Slovenia, 7-11 September 2009, Proceedings of the SoKD-09 International Workshop on Third Generation Data Mining at ECML PKDD 2009, volume 1, pages 88-99
- Vens, Celine;
De Paula Costa, Eduardo;
Blockeel, Hendrik.
Top-down phylogenetic tree reconstruction, Pattern Recognition in Bioinformatics, Sheffield, United Kingdom, 7-9 September 2009
- Blockeel, Hendrik;
Calders, Toon;
Fromont, Elisa;
Goethals, Bart;
Prado, Adriana.
Mining views: Database views for data mining, ICDE, Cancun, 7-12 April 2008, Proceedings of the 24th International Conference on Data Engineering - Demo Track, pages 1608-1611, IEEE
- Blockeel, Hendrik;
Calders, Toon;
Fromont, Elisa;
Goethals, Bart;
Prado, Adriana;
Robardet, Céline.
An inductive database prototype based on virtual mining views, International conference on Knowledge discovery and data mining, Las Vegas, Nevada, USA, 24-27 August 2008, 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Demonstration Session, pages 1061-1064, ACM
- Blockeel, Hendrik;
Nijssen, Siegfried.
Induction of node label controlled graph grammar rules, Kaski, Samuel; Vishwanathan, Sundar; Wrobel, Stefan (eds.), International Workshop on Mining and Learning with Graphs, Helsinki, 4-5 July 2008, Proceedings of MLG-2008: 6th International Workshop on Mining and Learning with Graphs, pages 1-4
- Drouillon, Pieter-Jan;
Blockeel, Hendrik.
Prediction of molecular substructures from mass spectrograms using constraint based clustering, Kaski, S.; Vishwanathan, S.; Wrobel, S (eds.), International Workshop on Mining and Learning with Graphs, Helsinki, Finland, 4-5 July 2008, Proceedings of the 6th International Workshop on Mining and Learning With Graphs, pages 1-4
- Fierens, Daan;
Ramon, Jan;
Bruynooghe, Maurice;
Blockeel, Hendrik.
Learning directed probabilistic logical models using ordering-search, International Conference on Inductive Logic Programming, Corvallis, USA, 19-21 June 2007, Lecture Notes in Computer Science, volume 4894, page24, Springer, 2008
- Piccart, Beau;
Struyf, Jan;
Blockeel, Hendrik.
Empirical asymmetric selective transfer in multi-objective decision trees, International conference on Discovery Science, Budapest, 13-16 October 2008, Lecture Notes in Computer Science, volume 5255, pages 64-75, Springer
- Schietgat, Leander;
Ramon, Jan;
Bruynooghe, Maurice;
Blockeel, Hendrik.
An efficiently computable graph-based metric for the classification of small molecules, International Conference on Discovery Science, Budapest, Hungary, 13-16 October 2008, Lecture Notes in Computer Science, volume 5255, pages 197-209, Springer
- Schietgat, Leander;
Theys, Kristof;
Ramon, Jan;
Blockeel, Hendrik;
Vandamme, Annemie.
Distinguishing epidemiological dependent from treatment (resistance) dependent HIV mutations: problem statement, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Antwerp, 15-19 September 2008, Proceedings of the 1st International Workshop on Statistical and Relational Learning in Bioinformatics, pages 1-8
- Uwents, Werner;
Blockeel, Hendrik.
A comparison between neural network methods for learning aggregate functions, International Conference on Discovery Science, Budapest, 13-16 October 2008, Lecture Notes in Computer Science, volume 5255, pages 88-99, Springer
- Uwents, Werner;
Blockeel, Hendrik.
Learning aggregate functions with neural networks using a cascade-correlation approach, International Conference on Inductive Logic Programming, Prague, 10-12 September 2008, Lecture Notes in Computer Science, volume 5194, pages 315-329, Springer
- Vanschoren, Joaquin;
Blockeel, Hendrik.
Investigating classifier learning behavior with experiment databases, Preisach, Christine; Burkhardt, Hans; Schmidt-Thieme, Lars; Decker, Reinhold (eds.), Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007, Data Analysis, Machine Learning and Applications, pages 421-428, Springer, 2008
- Vanschoren, Joaquin;
Blockeel, Hendrik;
Pfahringer, Bernhard;
Holmes, Geoff.
Organizing the world’s machine learning information, Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery at the 19th European Conference on Machine Learning (ECML 2008), Antwerp, Belgium, 15-19 September 2008, Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery at the 19th European Conference on Machine Learning (ECML 2008), pages 1-12
- Vanschoren, Joaquin;
Blockeel, Hendrik;
Pfahringer, Bernhard;
Holmes, Geoff.
Organizing the world’s machine learning information, Margaria, Tiziana (ed.), International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, Porto Sani (Kassandra, Chalkidiki) - Greece, 13-15 October 2008, Communications in Computer and Information Science, volume 17, pages 693-708, Springer
- Vanschoren, Joaquin;
Blockeel, Hendrik;
Pfahringer, Bernhard;
Holmes, Geoff.
Experiment databases: Creating a new platform for meta-learning research, ICML/UAI/COLT Joint workshop day, Helsinki, 9 July 2008, Proceedings of the ICML/UAI/COLT Joint Planning to Learn Workshop (PlanLearn08), pages 10-15
- Witsenburg, Tijn;
Blockeel, Hendrik.
A method to extend existing document clustering procedures in order to include relational information, Kaski, S.; Vishwanathan, V.; Wrobel, S (eds.), International Workshop on Mining and Learning with Graphs, Helsinki, Finland, 4-5 July 2008, Proceedings of the 6th International Workshop on Mining and Learning With Graphs, pages 1-3
Meeting abstracts, presented at international conferences and symposia
27 references- Blockeel, Hendrik.
Machine learning and data mining: An introductory overview, JIMSE: Joint workshops on Intelligent Methods for Software System Engineering, Montpellier, August 28, 2012, JIMSE 2012 -- 2012 Joint Workshop on Intelligent Methods for Software System Engineering -- Proceedings of the Workshop, page67
- Blockeel, Hendrik;
Davis, Jesse;
De Raedt, Luc;
Fierens, Daan;
Meert, Wannes;
Taghipour, Nima;
Van den Broeck, Guy.
Recent advances in lifted inference at Leuven, Spring Workshop on Mining and Learning, Bad Neuenahr, Germany, 18-20 April 2012
- De Paula Costa, Eduardo;
Verwer, Sicco;
Blockeel, Hendrik.
New procedure for estimating prediction certainty in decision trees, Belgian-Dutch Conference on Machine Learning, Ghent, 24-25 May 2012, Proceedings of the 21st Belgian-Dutch Conference on Machine Learning, page60
- Taghipour, Nima;
Fierens, Daan;
Davis, Jesse;
Blockeel, Hendrik.
Lifted variable elimination with arbitrary constraints, Benelux Conference on Artificial Intelligence (BNAIC), Maastricht, Netherlands, 25-26 October 2012, Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC 2012)
- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Protein Subfamily Identification using Clustering Trees, van der Putten, Peter; Veenman, Cor; Vanschoren, Joaquin; Israel, Menno; Blockeel, Hendrik (eds.), Belgian Dutch Conference on Machine Learning, The Hagge, 20 May 2011, Proceedings of the 20th Belgian Dutch Conference on Machine Learning, pages 105-106
- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Identification and classification of protein subfamilies using top-down phylogenetic tree reconstruction, European Conference on Computational Biology, Vienna, 17-19 July 2011
- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Evaluating the use of clustering trees for protein subfamily identification, BeNeLux Bioinformatics Conference (BBC), Luxembourg, 12 -13 December 2011
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Interaction-based feature selection for predicting cancer-related proteins in protein-protein interaction networks, Kramer, Stefan; Lawrence, Neil (eds.), International Workshop on Machine Learning in Systems Biology, Vienna, Austria, 20-21 July 2011, Prooceedings of the Fifth International Workshop on Machine Learning in Systems Biology, pages 68-72
- Blockeel, Hendrik;
Witsenburg, Tijn.
Exploiting homophily in unsupervised learning, Lorentz Workshop on Mining Patterns and Subgroups, Leiden, The Netherlands, 16-19 November 2010
- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Reconstructing phylogenetic trees from clustering trees, European Conference on Computational Biology, Ghent, Belgium, 26-29 September 2010
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Collaboration-based function prediction in protein-protein interaction networks, European Conference on Computational Biology, Gent, Belgium, 26-29 September 2010
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Collaboration based function prediction in protein-protein interaction networks, International Symposium on Networks in Bioinformatics, Amsterdam, 22-23 April 2010, Proceedings of the 7th International Symposium on Networks in Bioinformatics
- Rahmani, Hossein;
Blockeel, Hendrik;
Bender, Andreas.
Collaboration-based function prediction in protein-protein interaction networks, Dzeroski, Saso; Rogers, Simon; Sanguinetti, Guido (eds.), International Workshop on Machine Learning in Systems Biology, Edinburgh, 15-16 October 2010, Machine Learning in Systems Biology: Proceedings of the Fourth International Workshop, Edinburgh, Scotland, October 15-16, 2010, pages 55-58
- Blockeel, Hendrik.
Mining relational databases, Sacchi, Lucia; Curk, Tomaz (eds.), Intelligent Data Analysis in bioMedicine and Pharmacology, Verona, Italy, 19 July 2009, Intelligent Data Analysis in BioMedicine and Pharmacology, Workshop Notes, page1
- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Top-down phylogenetic tree reconstruction: a decision tree approach, International Workshop on Machine Learning in Systems Biology, Ljubljana, Slovenia, 5-6 September 2009
- De Paula Costa, Eduardo;
Vens, Celine;
Blockeel, Hendrik.
Top-down phylogenetic tree reconstruction, Benelux Bioinformatics Conference, Liege, 14-15 December 2009
- Taghipour, Nima;
Fierens, Daan;
Blockeel, Hendrik.
Biclustering of gene expression data using probabilistic logic learning, Benelux Bioinformatics Conference, Liège, Belgium, 14-15 December 2009
- Van Loon, Kristien;
Guiza Grandas, Fabian;
Meyfroidt, Geert;
Aerts, Jean-Marie;
Blockeel, Hendrik;
Van den Berghe, Greet;
Berckmans, Daniel.
Combination of Dynamic Analysis and data mining for stability prediction after cardiac surgery, ICCAI, Palo Alto, california, USA, 28-30 august, Proceedings of 8th International Conference on Complexity in Acute Illness, pages 1-2, 2009
- Van Loon, Kristien;
Guiza Grandas, Fabian;
Meyfroidt, Geert;
Aerts, Jean-Marie;
Blockeel, Hendrik;
Van den Berghe, Greet;
Berckmans, Daniel.
Dynamic information improves discharge prediction after cardiac surgery, ICCAI, Palo Alto, california, USA, 28-30 August, Proceedings of 8th International Conference on Complexity in Acute Illness, pages 1-2, 2009
- Witsenburg, Tijn;
Blockeel, Hendrik.
Enhancing clustering methods by inserting relational information, Annual Belgian-Dutch Conference on Machine Learning, Tilburg, The Netherlands, 18-19 May 2009, 18th Annual Belgian-Dutch Conference on Machine Learning - Proceedings of the Conference, pages 95-96
- Blockeel, Hendrik.
Exposing the causal structure of processes by learning CP-logic programs, Ho, Tu-Bao; Zhou, Zhi-Hua (eds.), Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, 15-19 December 2008, PRICAI 2008: Trends in Artificial Intelligence, page2, Springer
- Guiza Grandas, Fabian;
Blockeel, Hendrik;
Bruynooghe, Maurice;
Van Loon, Kristien;
Aerts, Jean-Marie;
Berckmans, Daniel;
Meyfroidt, Geert;
Van den Berghe, Greet.
Time-series analysis techniques combined with Gaussian process classifiers for prediction of clinical stability after coronary bypass surgery, Hierlemann, Andreas (ed.), IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, 13-15 February 2008, Proceedings of the 6th IASTED International Conference on Biomedical Engineering, issue 6, pages 216-221, ACTA Press
- Meert, Wannes;
Struyf, Jan;
Blockeel, Hendrik.
CP-logic theory inference with contextual variable elimination, Probabilistic Programming: Universal Languages and Inference; Systems; and Applications, Whistler, Canada, 13 December 2008
- Piccart, Beau;
Struyf, Jan;
Blockeel, Hendrik.
Selective inductive transfer, Wehenkel, Louis; Geurts, Pierre; Marée, Raphaël (eds.), Benelearn'08: : The Annual Belgian-Dutch Machine Learning Conference, Spa, Belgium, 19-20 May 2008, Benelearn'08: The Annual Belgian-Dutch Machine Learning Conference, pages 63-64
- Schietgat, Leander;
Vens, Celine;
Struyf, Jan;
Blockeel, Hendrik;
Kocev, Dragi;
Dzeroski, Saso.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision trees, European Conference on Computational Biology, Cagliari, Italy, 22-26 September 2008
- Schietgat, Leander;
Vens, Celine;
Struyf, Jan;
Kocev, Dragi;
Dzeroski, Saso;
Blockeel, Hendrik.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles, Spring Workshop on Mining and Learning, Traben-Trarbach, Germany, 23-25 April 2008
- Schietgat, Leander;
Vens, Celine;
Struyf, Jan;
Kocev, Dragi;
Dzeroski, Saso;
Blockeel, Hendrik.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles, BioSapiens Network of Excellence Workshop: From Genome to Proteome and Biological Function, Brussels, Belgium, 2 April 2008
Thesis
13 references- Taghipour, Nima.
Lifted Probabilistic Inference by Variable Elimination , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, March 2013, xvii + 251 pages, isbn: 978-946-018-646-2,
Blockeel, Hendrik and
Davis, Jesse (supervisors) (Accepted)
- Piccart, Beauregard.
Algorithms for Multi-Target Learning , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, June 2012, 122 pages, isbn: 978-946-018-536-6,
Blockeel, Hendrik (supervisor)
- Uwents, Werner.
Neural Networks for Relational Data , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, October 2012,
Blockeel, Hendrik (supervisor)
- Meert, Wannes.
Inference and Learning for Directed Probabilistic Logic Models , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, March 2011, 188 + xix pages, isbn: 978-946-018-323-2,
Blockeel, Hendrik (supervisor)
- Schietgat, Leander.
Graph-Based Data Mining for Biological Applications , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, May 2010,
Blockeel, Hendrik and
Bruynooghe, Maurice (supervisors)
- Theys, Kristof.
HIV-1 Evolutionary Dynamics: Individualized Prediction of Antiretroviral Resistance, PhD thesis, Laboratory of Clinical and Epidemiological Virology (Rega Institute), Department of Microbiology and Immunology, Faculty of Medicine, December 2010, 210 pages,
Vandamme, Annemie (supervisor) ,
Blockeel, Hendrik (cosupervisor)
- Vanschoren, Joaquin.
Understanding Machine Learning Performance with Experiment Databases , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, May 2010, 258 pages, isbn: 978-946-018-206-8,
Blockeel, Hendrik (supervisor)
- Croonenborghs, Tom.
Model-Assisted Approaches for Relational Reinforcement Learning , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, September 2009,
Bruynooghe, Maurice and
Blockeel, Hendrik (supervisors)
- Goetschalckx, Robby.
The Use of Domain Knowledge in Reinforcement Learning , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, September 2009,
Bruynooghe, Maurice and
Blockeel, Hendrik (supervisors)
- Guiza Grandas, Fabian.
Predictive Data Mining in Intensive Care , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, September 2009, 151 pages, isbn: 978-946-018-123-8,
Bruynooghe, Maurice and
Blockeel, Hendrik (supervisors)
- Deforche, Koen.
Modeling HIV Resistance Evolution under Drug Selective Pressure, PhD thesis, Laboratory of Clinical and Epidemiological Virology (Rega Institute), Department of Microbiology and Immunology, Faculty of Medicine, March 2008,
Vandamme, Annemie (supervisor) ,
Blockeel, Hendrik and
Moreau, Yves (cosupervisors)
- Fierens, Daan.
Learning Directed Probabilistic Logical Models from Relational Data , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, July 2008,
Blockeel, Hendrik and
Bruynooghe, Maurice (supervisors)
- Van Assche, Anneleen.
Improving the Applicability of Ensemble Methods in Data Mining , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, January 2008,
Blockeel, Hendrik (supervisor)
Internal reports
2 references- Taghipour, Nima;
Fierens, Daan;
Blockeel, Hendrik.
Probabilistic logical learning for biclustering: A case study with surprising results, CW Reports, volume CW597, 8 pages, Department of Computer Science, K.U.Leuven, Leuven, Belgium, October 2010
- Schietgat, Leander;
Vens, Celine;
Struyf, Jan;
Blockeel, Hendrik;
Kocev, Dragi;
Dzeroski, Saso.
Predicting gene function in S. cerevisiae and A. thaliana using hierarchical multi-label decision tree ensembles, CW Reports, volume CW528, 12 pages, Department of Computer Science, K.U.Leuven, Leuven, Belgium, October 2008
Misc.
6 references- Blockeel, Hendrik.
Incorporating causal reasoning in cost-effective action mining, ICDM-2012 Workshop on cost-sensitive data mining (COSTS), Brussels, 10 December 2012
- Blockeel, Hendrik;
Kersting, Kristian;
Nijssen, Siegfried;
Zelezny, Filip.
A revised publication model for ECML PKDD, July 2012
- Blockeel, Hendrik.
Learning, attribute-value, Encyclopedia of Systems Biology, 2011 (Accepted)
- Blockeel, Hendrik.
Hypothesis space, Encyclopedia of Machine Learning, volume 1, pages 511-513, 2011
- Blockeel, Hendrik.
Observation language, Encyclopedia of Machine Learning, volume 1, pages 733-735, 2011
- Blockeel, Hendrik.
Bias specification language, Encyclopedia of Machine Learning, pages 98-100, 2011
No publications found for the period 2008-2013 and the types
- Articles in other journals
- Books, internationally recognised scientific publisher; as author
- Other published books; as author
- Other published books; as editor
- Article in other published book
- Papers at other conferences and symposia, published in full in proceedings
- Meeting abstracts, presented at other conferences and symposia
- Review
- Translation without scientific introduction
- Scientific popularisation
- External reports
Last update local database Sun May 26 2013 0:18 am; It contains 370 publications of Hendrik Blockeel.
