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Hendrik Blockeel Vis

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*2009
91EEJoaquin Vanschoren, Hendrik Blockeel: A Community-Based Platform for Machine Learning Experimentation. ECML/PKDD (2) 2009: 750-754
90EEKristien 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
2008
89 Hendrik Blockeel, Jan Ramon, Jude W. Shavlik, Prasad Tadepalli: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers Springer 2008
88EELeander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. Discovery Science 2008: 197-209
87EEBeau Piccart, Jan Struyf, Hendrik Blockeel: Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. Discovery Science 2008: 64-75
86EEWerner Uwents, Hendrik Blockeel: A Comparison between Neural Network Methods for Learning Aggregate Functions. Discovery Science 2008: 88-99
85EEHendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado: Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611
84EEWerner Uwents, Hendrik Blockeel: Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach. ILP 2008: 315-329
83EEJoaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Organizing the World's Machine Learning Information. ISoLA 2008: 693-708
82EEHendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet: An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064
81EEHendrik Blockeel: Exposing the Causal Structure of Processes by Learning CP-Logic Programs. PRICAI 2008: 2
80EEDaan 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)
79EEWannes Meert, Jan Struyf, Hendrik Blockeel: Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundam. Inform. 89(1): 131-160 (2008)
78EEJan 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)
77EEHendrik Blockeel, Jude W. Shavlik, Prasad Tadepalli: Guest editors' introduction: special issue on inductive logic programming (ILP-2007). Machine Learning 73(1): 1-2 (2008)
76EECeline Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel: Decision trees for hierarchical multi-label classification. Machine Learning 73(2): 185-214 (2008)
2007
75EEAnneleen Van Assche, Hendrik Blockeel: Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. ECML 2007: 418-429
74EEDaan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML 2007: 567-574
73EEJoaquin Vanschoren, Hendrik Blockeel: Investigating Classifier Learning Behavior with Experiment Databases. GfKl 2007: 421-428
72EETom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: Online Learning and Exploiting Relational Models in Reinforcement Learning. IJCAI 2007: 726-731
71EEDaan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel: Learning Directed Probabilistic Logical Models Using Ordering-Search. ILP 2007: 24
70EEAnneleen Van Assche, Hendrik Blockeel: Seeing the Forest Through the Trees. ILP 2007: 269-279
69EEHendrik Blockeel, Tijn Witsenburg, Joost N. Kok: Graphs, Hypergraphs, and Inductive Logic Programming. MLG 2007
68EEHendrik Blockeel, Joaquin Vanschoren: Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning. PKDD 2007: 6-17
67EEKenneth Hoste, Lieven Eeckhout, Hendrik Blockeel: Analyzing commercial processor performance numbers for predicting performance of applications of interest. SIGMETRICS 2007: 375-376
66EEJan 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)
2006
65EEAnneleen Van Assche, Hendrik Blockeel: Bagging Using Statistical Queries. ECML 2006: 809-816
64EEJan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe: Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. ILP 2006: 40-42
63EECeline Vens, Jan Ramon, Hendrik Blockeel: ReMauve: A Relational Model Tree Learner. ILP 2006: 424-438
62EEHendrik Blockeel, Wannes Meert: Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks. ILP 2006: 94-108
61EEÉlisa Fromont, Hendrik Blockeel, Jan Struyf: Integrating Decision Tree Learning into Inductive Databases. KDID 2006: 81-96
60EEHendrik 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
59EECeline Vens, Jan Ramon, Hendrik Blockeel: Refining Aggregate Conditions in Relational Learning. PKDD 2006: 383-394
58EERaymond 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)
57EECeline Vens, Hendrik Blockeel: A simple regression based heuristic for learning model trees. Intell. Data Anal. 10(3): 215-236 (2006)
56EEHendrik 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)
55EEAnneleen 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)
2005
54 Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. BNAIC 2005: 343-344
53EEDaan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe: A Comparison of Approaches for Learning Probability Trees. ECML 2005: 556-563
52EEJan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare: Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA 2005: 272-283
51EEHendrik Blockeel, David Page, Ashwin Srinivasan: Multi-instance tree learning. ICML 2005: 57-64
50EEDaan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon: Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. ILP 2005: 121-135
49EEWerner Uwents, Hendrik Blockeel: Classifying Relational Data with Neural Networks. ILP 2005: 384-396
48EEHendrik Blockeel: Experiment Databases: A Novel Methodology for Experimental Research. KDID 2005: 72-85
47EEHendrik Blockeel, Saso Dzeroski: Multi-Relational Data Mining 2005: workshop report. SIGKDD Explorations 7(2): 126-128 (2005)
2004
46EECeline Vens, Anneleen Van Assche, Hendrik Blockeel, Saso Dzeroski: First Order Random Forests with Complex Aggregates. ILP 2004: 323-340
45EEHendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004)
44EEJan 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)
43EESaso Dzeroski, Hendrik Blockeel: Multi-relational data mining 2004: workshop report. SIGKDD Explorations 6(2): 140-141 (2004)
2003
42 Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel: Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings Springer 2003
41 Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski: 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 Springer 2003
40 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
39EEJan Struyf, Hendrik Blockeel: Query Optimization in Inductive Logic Programming by Reordering Literals. ILP 2003: 329-346
38EEVítor 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)
37EEHendrik Blockeel, Michèle Sebag: Scalability and efficiency in multi-relational data mining. SIGKDD Explorations 5(1): 17-30 (2003)
2002
36EELjupco Todorovski, Hendrik Blockeel, Saso Dzeroski: Ranking with Predictive Clustering Trees. ECML 2002: 444-455
35EEJan Struyf, Jan Ramon, Hendrik Blockeel: Compact Representation of Knowledge Bases in ILP. ILP 2002: 254-269
34EERaymond Kosala, Jan Van den Bussche, Maurice Bruynooghe, Hendrik Blockeel: Information Extraction in Structured Documents Using Tree Automata Induction. PKDD 2002: 299-310
33 Hendrik Blockeel, Jan Struyf: Deriving biased classifiers for better ROC performance. Informatica (Slovenia) 26(1): (2002)
32EEHendrik 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)
31EEHendrik Blockeel, Jan Struyf: Efficient Algorithms for Decision Tree Cross-validation. Journal of Machine Learning Research 3: 621-650 (2002)
2001
30EEKurt 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
29 Hendrik Blockeel, Jan Struyf: Efficient algorithms for decision tree cross-validation. ICML 2001: 11-18
28EEJan Struyf, Hendrik Blockeel: Efficient Cross-Validation in ILP. ILP 2001: 228-239
27EENico Jacobs, Hendrik Blockeel: From Shell Logs to Shell Scripts. ILP 2001: 80-90
26EEHendrik Blockeel, Johannes Fürnkranz, Alexia Prskawetz, Francesco C. Billari: Detecting Temporal Change in Event Sequences: An Application to Demographic Data. PKDD 2001: 29-41
25EENico Jacobs, Hendrik Blockeel: The Learning Shell: Automated Macro Construction. User Modeling 2001: 34-43
24EEHendrik Blockeel, Jan Struyf: Efficient algorithms for decision tree cross-validation CoRR cs.LG/0110036: (2001)
2000
23EEJan Ramon, Tom Francis, Hendrik Blockeel: Learning a Go Heuristic with TILDE. Computers and Games 2000: 151-169
22EEHendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele: Executing Query Packs in ILP. ILP 2000: 60-77
21EEHendrik 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
20EEArno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen: Multi-Relational Data Mining, Using UML for ILP. PKDD 2000: 1-12
19EEHendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees CoRR cs.LG/0011032: (2000)
18EERaymond Kosala, Hendrik Blockeel: Web Mining Research: A Survey CoRR cs.LG/0011033: (2000)
17EEHendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations CoRR cs.LG/0011044: (2000)
16EERaymond Kosala, Hendrik Blockeel: Web Mining Research: A Survey. SIGKDD Explorations 2(1): 1-15 (2000)
1999
15EESaso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91
14 Hendrik Blockeel, Saso Dzeroski, Jasna Grbovic: Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE. PKDD 1999: 32-40
13 Luc De Raedt, Hendrik Blockeel: Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. PKDD 1999: 590
12 Hendrik Blockeel: Top-Down Induction of First Order Logical Decision Trees. AI Commun. 12(1-2): 119-120 (1999)
11 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)
1998
10 Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ICML 1998: 136-143
9 Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-Down Induction of Clustering Trees. ICML 1998: 55-63
8 Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ILP 1998: 11-22
7EESaso 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)
6EEHendrik Blockeel, Luc De Raedt: Isidd: An Interactive System for Inductive Database Design. Applied Artificial Intelligence 12(5): 385-420 (1998)
5EEHendrik Blockeel, Luc De Raedt: Top-Down Induction of First-Order Logical Decision Trees. Artif. Intell. 101(1-2): 285-297 (1998)
1997
4 Luc De Raedt, Hendrik Blockeel: Using Logical Decision Trees for Clustering. ILP 1997: 133-140
3 Hendrik Blockeel, Luc De Raedt: Lookahead and Discretization in ILP. ILP 1997: 77-84
1996
2EEHendrik Blockeel, Luc De Raedt: Inductive Database Design. ISMIS 1996: 376-385
1 Hendrik Blockeel, Luc De Raedt: Relational Knowledge Discovery in Databases. Inductive Logic Programming Workshop 1996: 199-211

Coauthor Index

1Jean-Marie Aerts [90]
2Anneleen Van Assche [46] [55] [65] [70] [75]
3Daniel Berckmans [90]
4Greet Vanden Berghe [66] [90]
5Francesco C. Billari [26]
6Maurice Bruynooghe [34] [40] [44] [50] [53] [54] [58] [64] [66] [71] [72] [74] [78] [80] [88] [90]
7Jan Van den Bussche [34] [40] [58]
8Toon Calders [82] [85]
9Rui Camacho [38]
10Amanda Clare [52] [60]
11Vítor Santos Costa [38]
12Tom Croonenborghs [64] [72] [78]
13Luc Dehaspe [22] [32]
14Bart Demoen [11] [17] [21] [22] [32] [38]
15Kurt Driessens [30]
16Saso Dzeroski [7] [8] [10] [14] [15] [36] [43] [45] [46] [47] [52] [55] [60] [76]
17Lieven Eeckhout [67]
18Daan Fierens [50] [53] [54] [64] [66] [71] [74] [78] [80]
19Tom Francis [23]
20Élisa Fromont [61] [82] [85]
21Johannes Fürnkranz [26]
22Dragan Gamberger [41] [42]
23Bart Goethals [82] [85]
24Jasna Grbovic [14]
25Fabián Güiza [66] [90]
26Karsten R. Heidtke [7]
27Geoffrey Holmes [83]
28Kenneth Hoste [67]
29Nico Jacobs [11] [17] [25] [27]
30Gerda Janssens [21] [22] [32] [38]
31David Jensen [56]
32Arno J. Knobbe [20]
33Joost N. Kok [69]
34Boris Kompare [15] [45]
35Raymond Kosala [16] [18] [34] [40] [58]
36Stefan Kramer [15] [45] [56]
37Wim Van Laer [15] [21] [38] [45]
38Nada Lavrac [41] [42]
39Kristien Van Loon [90]
40Wannes Meert [62] [79]
41Geert Meyfroidt [66] [90]
42C. David Page Jr. (David Page) [51]
43Bernhard Pfahringer [15] [45] [83]
44Beau Piccart [87]
45Adriana Prado [82] [85]
46Alexia Prskawetz [26]
47Luc De Raedt [1] [2] [3] [4] [5] [6] [8] [9] [10] [11] [13] [17] [19]
48Jan Ramon [9] [19] [22] [23] [30] [32] [35] [44] [50] [53] [54] [59] [63] [64] [66] [71] [72] [74] [78] [80] [88] [89] [90]
49Céline Robardet [82]
50Leander Schietgat [60] [76] [88]
51Steffen Schulze-Kremer [7]
52Michèle Sebag [37]
53Jude W. Shavlik [77] [89]
54Arno Siebes [20]
55Karsten Siems [7]
56Ashwin Srinivasan [38] [51]
57Jan Struyf [24] [28] [29] [31] [33] [35] [38] [39] [44] [52] [60] [61] [76] [79] [87]
58Prasad Tadepalli [77] [89]
59Ljupco Todorovski [36] [41] [42]
60Werner Uwents [49] [84] [86]
61Henk Vandecasteele [21] [22] [32] [38]
62Joaquin Vanschoren [68] [73] [83] [91]
63Celine Vens [46] [55] [57] [59] [63] [76]
64Sofie Verbaeten [44]
65Danïel van der Wallen [20]
66Dietrich Wettschereck [7]
67Tijn Witsenburg [69]

Colors in the list of coauthors

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