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 |