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Hendrik Blockeel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
    Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:343-344 [Conf]
  2. Jan Ramon, Tom Francis, Hendrik Blockeel
    Learning a Go Heuristic with TILDE. [Citation Graph (0, 0)][DBLP]
    Computers and Games, 2000, pp:151-169 [Conf]
  3. Anneleen Van Assche, Hendrik Blockeel
    Bagging Using Statistical Queries. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:809-816 [Conf]
  4. Kurt Driessens, Jan Ramon, Hendrik Blockeel
    Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:97-108 [Conf]
  5. Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
    A Comparison of Approaches for Learning Probability Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:556-563 [Conf]
  6. Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
    Ranking with Predictive Clustering Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:444-455 [Conf]
  7. Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare
    Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. [Citation Graph (0, 0)][DBLP]
    EPIA, 2005, pp:272-283 [Conf]
  8. Hendrik Blockeel, David Page, Ashwin Srinivasan
    Multi-instance tree learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:57-64 [Conf]
  9. Hendrik Blockeel, Luc De Raedt, Jan Ramon
    Top-Down Induction of Clustering Trees. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:55-63 [Conf]
  10. Hendrik Blockeel, Jan Struyf
    Efficient algorithms for decision tree cross-validation. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:11-18 [Conf]
  11. Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
    Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:136-143 [Conf]
  12. Raymond Kosala, Maurice Bruynooghe, Jan Van den Bussche, Hendrik Blockeel
    Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:403-408 [Conf]
  13. Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe
    Online Learning and Exploiting Relational Models in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:726-731 [Conf]
  14. Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon
    Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:121-135 [Conf]
  15. Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
    Experiments in Predicting Biodegradability. [Citation Graph (0, 0)][DBLP]
    ILP, 1999, pp:80-91 [Conf]
  16. Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele
    Executing Query Packs in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2000, pp:60-77 [Conf]
  17. Hendrik Blockeel, Bart Demoen, Gerda Janssens, Henk Vandecasteele, Wim Van Laer
    Two Advanced Transormations for Improving the Efficiency of an ILP system. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  18. Hendrik Blockeel, Luc De Raedt
    Relational Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:199-211 [Conf]
  19. Hendrik Blockeel, Luc De Raedt
    Lookahead and Discretization in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:77-84 [Conf]
  20. Nico Jacobs, Hendrik Blockeel
    From Shell Logs to Shell Scripts. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:80-90 [Conf]
  21. Saso Dzeroski, Luc De Raedt, Hendrik Blockeel
    Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:11-22 [Conf]
  22. Jan Struyf, Hendrik Blockeel
    Efficient Cross-Validation in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:228-239 [Conf]
  23. Jan Struyf, Hendrik Blockeel
    Query Optimization in Inductive Logic Programming by Reordering Literals. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:329-346 [Conf]
  24. Jan Struyf, Jan Ramon, Hendrik Blockeel
    Compact Representation of Knowledge Bases in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:254-269 [Conf]
  25. Werner Uwents, Hendrik Blockeel
    Classifying Relational Data with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:384-396 [Conf]
  26. Celine Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski
    First Order Random Forests with Complex Aggregates. [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:323-340 [Conf]
  27. Luc De Raedt, Hendrik Blockeel
    Using Logical Decision Trees for Clustering. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:133-140 [Conf]
  28. Hendrik Blockeel, Luc De Raedt
    Inductive Database Design. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1996, pp:376-385 [Conf]
  29. Hendrik Blockeel
    Experiment Databases: A Novel Methodology for Experimental Research. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:72-85 [Conf]
  30. Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic
    Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:32-40 [Conf]
  31. Hendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari
    Detecting Temporal Change in Event Sequences: An Application to Demographic Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:29-41 [Conf]
  32. Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
    Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:18-29 [Conf]
  33. Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen
    Multi-Relational Data Mining, Using UML for ILP. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:1-12 [Conf]
  34. Raymond Kosala, Jan Van den Bussche, Maurice Bruynooghe, Hendrik Blockeel
    Information Extraction in Structured Documents Using Tree Automata Induction. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:299-310 [Conf]
  35. Luc De Raedt, Hendrik Blockeel
    Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:590- [Conf]
  36. Celine Vens, Jan Ramon, Hendrik Blockeel
    Refining Aggregate Conditions in Relational Learning. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:383-394 [Conf]
  37. Nico Jacobs, Hendrik Blockeel
    The Learning Shell: Automated Macro Construction. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2001, pp:34-43 [Conf]
  38. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
    Experiments In Predicting Biodegradability. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2004, v:18, n:2, pp:157-181 [Journal]
  39. Hendrik Blockeel, Luc De Raedt
    Isidd: An Interactive System for Inductive Database Design. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:5, pp:385-420 [Journal]
  40. Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck, Hendrik Blockeel
    Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:5, pp:363-383 [Journal]
  41. Hendrik Blockeel, Luc De Raedt
    Top-Down Induction of First-Order Logical Decision Trees. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1998, v:101, n:1-2, pp:285-297 [Journal]
  42. Hendrik Blockeel
    Top-Down Induction of First Order Logical Decision Trees. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1999, v:12, n:1-2, pp:119-120 [Journal]
  43. Hendrik Blockeel, Luc De Raedt, Jan Ramon
    Top-down induction of clustering trees [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  44. Raymond Kosala, Hendrik Blockeel
    Web Mining Research: A Survey [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  45. Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen
    Scaling Up Inductive Logic Programming by Learning from Interpretations [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  46. Hendrik Blockeel, Jan Struyf
    Efficient algorithms for decision tree cross-validation [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  47. Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen
    Scaling Up Inductive Logic Programming by Learning from Interpretations. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1999, v:3, n:1, pp:59-93 [Journal]
  48. Raymond Kosala, Hendrik Blockeel, Maurice Bruynooghe, Jan Van den Bussche
    Information extraction from structured documents using k-testable tree automaton inference. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2006, v:58, n:2, pp:129-158 [Journal]
  49. Celine Vens, Hendrik Blockeel
    A simple regression based heuristic for learning model trees. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:3, pp:215-236 [Journal]
  50. Hendrik Blockeel, Jan Struyf
    Deriving biased classifiers for better ROC performance. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2002, v:26, n:1, pp:- [Journal]
  51. 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. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2002, v:16, n:, pp:135-166 [Journal]
  52. Hendrik Blockeel, Jan Struyf
    Efficient Algorithms for Decision Tree Cross-validation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:621-650 [Journal]
  53. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:465-491 [Journal]
  54. Hendrik Blockeel, David Jensen, Stefan Kramer
    Introduction to the special issue on multi-relational data mining and statistical relational learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:62, n:1-2, pp:3-5 [Journal]
  55. Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel
    Compact Representation of Knowledge Bases in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:57, n:3, pp:305-333 [Journal]
  56. Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski
    First order random forests: Learning relational classifiers with complex aggregates. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:149-182 [Journal]
  57. Hendrik Blockeel, Saso Dzeroski
    Multi-Relational Data Mining 2005: workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:126-128 [Journal]
  58. Hendrik Blockeel, Michèle Sebag
    Scalability and efficiency in multi-relational data mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:17-30 [Journal]
  59. Saso Dzeroski, Hendrik Blockeel
    Multi-relational data mining 2004: workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2004, v:6, n:2, pp:140-141 [Journal]
  60. Raymond Kosala, Hendrik Blockeel
    Web Mining Research: A Survey. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:2, n:1, pp:1-15 [Journal]
  61. Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
    Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:567-574 [Conf]
  62. Anneleen Van Assche, Hendrik Blockeel
    Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:418-429 [Conf]
  63. Hendrik Blockeel, Wannes Meert
    Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:94-108 [Conf]
  64. Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe
    Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:40-42 [Conf]
  65. Celine Vens, Jan Ramon, Hendrik Blockeel
    ReMauve: A Relational Model Tree Learner. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:424-438 [Conf]
  66. Élisa Fromont, Hendrik Blockeel, Jan Struyf
    Integrating Decision Tree Learning into Inductive Databases. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:81-96 [Conf]
  67. Hendrik Blockeel, Joaquin Vanschoren
    Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:6-17 [Conf]
  68. Kenneth Hoste, Lieven Eeckhout, Hendrik Blockeel
    Analyzing commercial processor performance numbers for predicting performance of applications of interest. [Citation Graph (0, 0)][DBLP]
    SIGMETRICS, 2007, pp:375-376 [Conf]
  69. Jan Ramon, Daan Fierens, Fabián Güiza, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greet Vanden Berghe
    Mining data from intensive care patients. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2007, v:21, n:3, pp:243-256 [Journal]

  70. Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. [Citation Graph (, )][DBLP]


  71. A Comparison between Neural Network Methods for Learning Aggregate Functions. [Citation Graph (, )][DBLP]


  72. An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. [Citation Graph (, )][DBLP]


  73. Top-Down Induction of Phylogenetic Trees. [Citation Graph (, )][DBLP]


  74. Mining Views: Database Views for Data Mining. [Citation Graph (, )][DBLP]


  75. InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. [Citation Graph (, )][DBLP]


  76. Learning Directed Probabilistic Logical Models Using Ordering-Search. [Citation Graph (, )][DBLP]


  77. Seeing the Forest Through the Trees. [Citation Graph (, )][DBLP]


  78. Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach. [Citation Graph (, )][DBLP]


  79. CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. [Citation Graph (, )][DBLP]


  80. Organizing the World's Machine Learning Information. [Citation Graph (, )][DBLP]


  81. An inductive database prototype based on virtual mining views. [Citation Graph (, )][DBLP]


  82. A Community-Based Platform for Machine Learning Experimentation. [Citation Graph (, )][DBLP]


  83. First-Order Bayes-Ball. [Citation Graph (, )][DBLP]


  84. Exposing the Causal Structure of Processes by Learning CP-Logic Programs. [Citation Graph (, )][DBLP]


  85. Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. [Citation Graph (, )][DBLP]


  86. Graphs, Hypergraphs, and Inductive Logic Programming. [Citation Graph (, )][DBLP]


  87. Investigating Classifier Learning Behavior with Experiment Databases. [Citation Graph (, )][DBLP]


  88. Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability. [Citation Graph (, )][DBLP]


  89. Learning directed probabilistic logical models: ordering-search versus structure-search. [Citation Graph (, )][DBLP]


  90. Predicting gene function using hierarchical multi-label decision tree ensembles. [Citation Graph (, )][DBLP]


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