2008 |
87 | | 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 |
86 | EE | 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 |
85 | EE | Beau Piccart,
Jan Struyf,
Hendrik Blockeel:
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees.
Discovery Science 2008: 64-75 |
84 | EE | Werner Uwents,
Hendrik Blockeel:
A Comparison between Neural Network Methods for Learning Aggregate Functions.
Discovery Science 2008: 88-99 |
83 | EE | Hendrik Blockeel,
Toon Calders,
Élisa Fromont,
Bart Goethals,
Adriana Prado:
Mining Views: Database Views for Data Mining.
ICDE 2008: 1608-1611 |
82 | EE | Werner Uwents,
Hendrik Blockeel:
Learning Aggregate Functions with Neural Networks Using a Cascade-Correlation Approach.
ILP 2008: 315-329 |
81 | EE | Joaquin Vanschoren,
Hendrik Blockeel,
Bernhard Pfahringer,
Geoffrey Holmes:
Organizing the World's Machine Learning Information.
ISoLA 2008: 693-708 |
80 | EE | 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 |
79 | EE | Hendrik Blockeel:
Exposing the Causal Structure of Processes by Learning CP-Logic Programs.
PRICAI 2008: 2 |
78 | EE | Wannes Meert,
Jan Struyf,
Hendrik Blockeel:
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.
Fundam. Inform. 89(1): 131-160 (2008) |
77 | EE | 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) |
76 | EE | 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) |
75 | EE | Celine Vens,
Jan Struyf,
Leander Schietgat,
Saso Dzeroski,
Hendrik Blockeel:
Decision trees for hierarchical multi-label classification.
Machine Learning 73(2): 185-214 (2008) |
2007 |
74 | EE | Anneleen Van Assche,
Hendrik Blockeel:
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble.
ECML 2007: 418-429 |
73 | EE | Daan Fierens,
Jan Ramon,
Maurice Bruynooghe,
Hendrik Blockeel:
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search.
ECML 2007: 567-574 |
72 | EE | Tom Croonenborghs,
Jan Ramon,
Hendrik Blockeel,
Maurice Bruynooghe:
Online Learning and Exploiting Relational Models in Reinforcement Learning.
IJCAI 2007: 726-731 |
71 | EE | Daan Fierens,
Jan Ramon,
Maurice Bruynooghe,
Hendrik Blockeel:
Learning Directed Probabilistic Logical Models Using Ordering-Search.
ILP 2007: 24 |
70 | EE | Anneleen Van Assche,
Hendrik Blockeel:
Seeing the Forest Through the Trees.
ILP 2007: 269-279 |
69 | EE | Hendrik Blockeel,
Tijn Witsenburg,
Joost N. Kok:
Graphs, Hypergraphs, and Inductive Logic Programming.
MLG 2007 |
68 | EE | Hendrik Blockeel,
Joaquin Vanschoren:
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning.
PKDD 2007: 6-17 |
67 | EE | Kenneth Hoste,
Lieven Eeckhout,
Hendrik Blockeel:
Analyzing commercial processor performance numbers for predicting performance of applications of interest.
SIGMETRICS 2007: 375-376 |
66 | EE | 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) |
2006 |
65 | EE | Anneleen Van Assche,
Hendrik Blockeel:
Bagging Using Statistical Queries.
ECML 2006: 809-816 |
64 | EE | Jan Ramon,
Tom Croonenborghs,
Daan Fierens,
Hendrik Blockeel,
Maurice Bruynooghe:
Generalized Ordering-Search for Learning Directed Probabilistic Logical Models.
ILP 2006: 40-42 |
63 | EE | Celine Vens,
Jan Ramon,
Hendrik Blockeel:
ReMauve: A Relational Model Tree Learner.
ILP 2006: 424-438 |
62 | EE | Hendrik Blockeel,
Wannes Meert:
Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks.
ILP 2006: 94-108 |
61 | EE | Élisa Fromont,
Hendrik Blockeel,
Jan Struyf:
Integrating Decision Tree Learning into Inductive Databases.
KDID 2006: 81-96 |
60 | EE | 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 |
59 | EE | Celine Vens,
Jan Ramon,
Hendrik Blockeel:
Refining Aggregate Conditions in Relational Learning.
PKDD 2006: 383-394 |
58 | EE | 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) |
57 | EE | Celine Vens,
Hendrik Blockeel:
A simple regression based heuristic for learning model trees.
Intell. Data Anal. 10(3): 215-236 (2006) |
56 | EE | 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) |
55 | EE | 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) |
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 |
53 | EE | Daan Fierens,
Jan Ramon,
Hendrik Blockeel,
Maurice Bruynooghe:
A Comparison of Approaches for Learning Probability Trees.
ECML 2005: 556-563 |
52 | EE | Jan Struyf,
Saso Dzeroski,
Hendrik Blockeel,
Amanda Clare:
Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics.
EPIA 2005: 272-283 |
51 | EE | Hendrik Blockeel,
David Page,
Ashwin Srinivasan:
Multi-instance tree learning.
ICML 2005: 57-64 |
50 | EE | Daan Fierens,
Hendrik Blockeel,
Maurice Bruynooghe,
Jan Ramon:
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.
ILP 2005: 121-135 |
49 | EE | Werner Uwents,
Hendrik Blockeel:
Classifying Relational Data with Neural Networks.
ILP 2005: 384-396 |
48 | EE | Hendrik Blockeel:
Experiment Databases: A Novel Methodology for Experimental Research.
KDID 2005: 72-85 |
47 | EE | Hendrik Blockeel,
Saso Dzeroski:
Multi-Relational Data Mining 2005: workshop report.
SIGKDD Explorations 7(2): 126-128 (2005) |
2004 |
46 | EE | Celine Vens,
Anneleen Van Assche,
Hendrik Blockeel,
Saso Dzeroski:
First Order Random Forests with Complex Aggregates.
ILP 2004: 323-340 |
45 | EE | 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) |
44 | EE | 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) |
43 | EE | Saso 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 |
39 | EE | Jan Struyf,
Hendrik Blockeel:
Query Optimization in Inductive Logic Programming by Reordering Literals.
ILP 2003: 329-346 |
38 | EE | 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) |
37 | EE | Hendrik Blockeel,
Michèle Sebag:
Scalability and efficiency in multi-relational data mining.
SIGKDD Explorations 5(1): 17-30 (2003) |
2002 |
36 | EE | Ljupco Todorovski,
Hendrik Blockeel,
Saso Dzeroski:
Ranking with Predictive Clustering Trees.
ECML 2002: 444-455 |
35 | EE | Jan Struyf,
Jan Ramon,
Hendrik Blockeel:
Compact Representation of Knowledge Bases in ILP.
ILP 2002: 254-269 |
34 | EE | Raymond 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) |
32 | EE | 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) |
31 | EE | Hendrik Blockeel,
Jan Struyf:
Efficient Algorithms for Decision Tree Cross-validation.
Journal of Machine Learning Research 3: 621-650 (2002) |
2001 |
30 | EE | 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 |
29 | | Hendrik Blockeel,
Jan Struyf:
Efficient algorithms for decision tree cross-validation.
ICML 2001: 11-18 |
28 | EE | Jan Struyf,
Hendrik Blockeel:
Efficient Cross-Validation in ILP.
ILP 2001: 228-239 |
27 | EE | Nico Jacobs,
Hendrik Blockeel:
From Shell Logs to Shell Scripts.
ILP 2001: 80-90 |
26 | EE | Hendrik Blockeel,
Johannes Fürnkranz,
Alexia Prskawetz,
Francesco C. Billari:
Detecting Temporal Change in Event Sequences: An Application to Demographic Data.
PKDD 2001: 29-41 |
25 | EE | Nico Jacobs,
Hendrik Blockeel:
The Learning Shell: Automated Macro Construction.
User Modeling 2001: 34-43 |
24 | EE | Hendrik Blockeel,
Jan Struyf:
Efficient algorithms for decision tree cross-validation
CoRR cs.LG/0110036: (2001) |
2000 |
23 | EE | Jan Ramon,
Tom Francis,
Hendrik Blockeel:
Learning a Go Heuristic with TILDE.
Computers and Games 2000: 151-169 |
22 | EE | Hendrik Blockeel,
Luc Dehaspe,
Bart Demoen,
Gerda Janssens,
Jan Ramon,
Henk Vandecasteele:
Executing Query Packs in ILP.
ILP 2000: 60-77 |
21 | EE | 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 |
20 | EE | Arno J. Knobbe,
Arno Siebes,
Hendrik Blockeel,
Danïel van der Wallen:
Multi-Relational Data Mining, Using UML for ILP.
PKDD 2000: 1-12 |
19 | EE | Hendrik Blockeel,
Luc De Raedt,
Jan Ramon:
Top-down induction of clustering trees
CoRR cs.LG/0011032: (2000) |
18 | EE | Raymond Kosala,
Hendrik Blockeel:
Web Mining Research: A Survey
CoRR cs.LG/0011033: (2000) |
17 | EE | Hendrik Blockeel,
Luc De Raedt,
Nico Jacobs,
Bart Demoen:
Scaling Up Inductive Logic Programming by Learning from Interpretations
CoRR cs.LG/0011044: (2000) |
16 | EE | Raymond Kosala,
Hendrik Blockeel:
Web Mining Research: A Survey.
SIGKDD Explorations 2(1): 1-15 (2000) |
1999 |
15 | EE | Saso 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 |
7 | EE | 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) |
6 | EE | Hendrik Blockeel,
Luc De Raedt:
Isidd: An Interactive System for Inductive Database Design.
Applied Artificial Intelligence 12(5): 385-420 (1998) |
5 | EE | Hendrik 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 |
2 | | Hendrik 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 |