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Luc De Raedt Vis

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*2009
155 Luc De Raedt: Constraint Programming for Data Mining. EGC 2009: 3
154EELuc De Raedt: The Logic of Learning. ICFCA 2009: 57
153EELuc De Raedt: Probabilistic Logic Learning - A Tutorial Abstract. ICLP 2009: 39
152EEAngelika Kimmig, Luc De Raedt: Local Query Mining in a Probabilistic Prolog. IJCAI 2009: 1095-1100
151EESiegfried Nijssen, Tias Guns, Luc De Raedt: Correlated itemset mining in ROC space: a constraint programming approach. KDD 2009: 647-656
150EESiegfried Nijssen, Luc De Raedt: Grammar Mining. SDM 2009: 1026-1037
149EELuc De Raedt, Jan Ramon: Deriving distance metrics from generality relations. Pattern Recognition Letters 30(3): 187-191 (2009)
2008
148 Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
147 Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
146 Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
145EEKurt De Grave, Jan Ramon, Luc De Raedt: Active Learning for High Throughput Screening. Discovery Science 2008: 185-196
144EEBernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt: Parameter Learning in Probabilistic Databases: A Least Squares Approach. ECML/PKDD (1) 2008: 473-488
143EEIngo Thon, Niels Landwehr, Luc De Raedt: A Simple Model for Sequences of Relational State Descriptions. ECML/PKDD (2) 2008: 506-521
142EEAngelika Kimmig, Vítor Santos Costa, Ricardo Rocha, Bart Demoen, Luc De Raedt: On the Efficient Execution of ProbLog Programs. ICLP 2008: 175-189
141EELuc De Raedt, Tias Guns, Siegfried Nijssen: Constraint programming for itemset mining. KDD 2008: 204-212
140EELuc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. Probabilistic Inductive Logic Programming 2008: 1-27
139EEKristian Kersting, Luc De Raedt: Basic Principles of Learning Bayesian Logic Programs. Probabilistic Inductive Logic Programming 2008: 189-221
138EEKristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55
137EELuc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
136EELuc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008
135EELuc De Raedt: Logical and Relational Learning. SBIA 2008: 1
134EELuc De Raedt: Logic, Probability and Learning, or an Introduction to Statistical Relational Learning. SBIA 2008: 5
133EEUlrich Rückert, Luc De Raedt: An experimental evaluation of simplicity in rule learning. Artif. Intell. 172(1): 19-28 (2008)
132EENiels Landwehr, Bernd Gutmann, Ingo Thon, Luc De Raedt, Matthai Philipose: Relational Transformation-based Tagging for Activity Recognition. Fundam. Inform. 89(1): 111-129 (2008)
131EELuc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Compressing probabilistic Prolog programs. Machine Learning 70(2-3): 151-168 (2008)
2007
130EEAngelika Kimmig, Luc De Raedt, Hannu Toivonen: Probabilistic Explanation Based Learning. ECML 2007: 176-187
129EELuc De Raedt, Angelika Kimmig, Hannu Toivonen: ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. IJCAI 2007: 2462-2467
128EEGemma C. Garriga, Roni Khardon, Luc De Raedt: On Mining Closed Sets in Multi-Relational Data. IJCAI 2007: 804-809
127EENiels Landwehr, Luc De Raedt: r-grams: Relational Grams. IJCAI 2007: 907-912
126EETayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter: Predicting Spike Activity in Neuronal Cultures. IJCNN 2007: 2942-2947
125EELuc De Raedt: ProbLog and its Application to Link Mining in Biological Networks. MLG 2007
124EELuc De Raedt: Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk). NeSy 2007
123EELuc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
122EELuc De Raedt, Albrecht Zimmermann: Constraint-Based Pattern Set Mining. SDM 2007
121EETayfun Gürel, Luc De Raedt, Stefan Rotter: Mining Structure-Activity Relations in Biological Neural Networks using NeuronRank. Perspectives of Neural-Symbolic Integration 2007: 49-65
120EETayfun Gürel, Luc De Raedt, Stefan Rotter: Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank. Neurocomputing 70(10-12): 1897-1901 (2007)
2006
119 Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006
118 Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006
117EETamás Horváth, Björn Bringmann, Luc De Raedt: Frequent Hypergraph Mining. ILP 2006: 244-259
116EELuc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen: Revising Probabilistic Prolog Programs. ILP 2006: 30-33
115EEAlexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt: Learning Relational Navigation Policies. IROS 2006: 2792-2797
114EEJérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut: Mining Bi-sets in Numerical Data. KDID 2006: 11-23
113EESiegfried Nijssen, Luc De Raedt: IQL: A Proposal for an Inductive Query Language. KDID 2006: 189-207
112EEBjörn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen: Don't Be Afraid of Simpler Patterns. PKDD 2006: 55-66
111EEKristian Kersting, Luc De Raedt, Tapani Raiko: Logical Hidden Markov Models. J. Artif. Intell. Res. (JAIR) 25: 425-456 (2006)
110EEAndrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Journal of Machine Learning Research 7: 307-342 (2006)
2005
109 Luc De Raedt, Stefan Wrobel: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 ACM 2005
108 Jean-François Boulicaut, Luc De Raedt, Heikki Mannila: Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers Springer 2005
107 Luc De Raedt, Kristian Kersting, Sunna Torge: Towards Learning Stochastic Logic Programs from Proof-Banks. AAAI 2005: 752-757
106 Niels Landwehr, Kristian Kersting, Luc De Raedt: nFOIL: Integrating Naïve Bayes and FOIL. AAAI 2005: 795-800
105EEChristian Stolle, Andreas Karwath, Luc De Raedt: CLASSIC'CL: An Integrated ILP System. Discovery Science 2005: 354-362
104EELuc De Raedt: Statistical Relational Learning: An Inductive Logic Programming Perspective. PKDD 2005: 3-5
103EELuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
102EELuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
101EEAndrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005
100EETakashi Washio, Luc De Raedt, Joost N. Kok: Advances in Mining Graphs, Trees and Sequences. Fundam. Inform. 66(1-2): (2005)
2004
99EELuc De Raedt, Kristian Kersting: Probabilistic Inductive Logic Programming. ALT 2004: 19-36
98EEAlbrecht Zimmermann, Luc De Raedt: Inductive Querying for Discovering Subgroups and Clusters. Constraint-Based Mining and Inductive Databases 2004: 380-399
97EELuc De Raedt: Towards Query Evaluation in Inductive Databases Using Version Spaces. Database Support for Data Mining Applications 2004: 117-134
96EESau Dan Lee, Luc De Raedt: Constraint Based Mining of First Order Sequences in SeqLog. Database Support for Data Mining Applications 2004: 154-173
95EEAndreas Karwath, Luc De Raedt: Predictive Graph Mining. Discovery Science 2004: 1-15
94EEAlbrecht Zimmermann, Luc De Raedt: CorClass: Correlated Association Rule Mining for Classification. Discovery Science 2004: 60-72
93EEAlbrecht Zimmermann, Luc De Raedt: Cluster-Grouping: From Subgroup Discovery to Clustering. ECML 2004: 575-577
92EEKristian Kersting, Martijn Van Otterlo, Luc De Raedt: Bellman goes relational. ICML 2004
91EEKristian Kersting, Luc De Raedt: Logical Markov Decision Programs and the Convergence of Logical TD(lambda). ILP 2004: 180-197
90EESau Dan Lee, Luc De Raedt: An Efficient Algorithm for Mining String Databases Under Constraints. KDID 2004: 108-129
89 Luc De Raedt, Jan Ramon: Condensed Representations for Inductive Logic Programming. KR 2004: 438-446
88EEJohannes Fischer, Luc De Raedt: Towards Optimizing Conjunctive Inductive Queries. PAKDD 2004: 625-637
87EEChristoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt: Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds. Journal of Chemical Information and Modeling 44(4): 1402-1411 (2004)
2003
86EESau Dan Lee, Luc De Raedt: An Algebra for Inductive Query Evaluation. ICDM 2003: 147-154
85 Johannes Fischer, Luc De Raedt: Towards Optimizing Conjunctive Inductive Queries. KDID 2003: 44-59
84 Sau Dan Lee, Luc De Raedt: An Algebra for Inductive Query Evaluation. KDID 2003: 80-96
83EEKristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt: Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Pacific Symposium on Biocomputing 2003: 192-203
82EESaso Dzeroski, Luc De Raedt: Multi-relational data mining: the current frontiers. SIGKDD Explorations 5(1): 100-101 (2003)
81EELuc De Raedt, Kristian Kersting: Probabilistic logic learning. SIGKDD Explorations 5(1): 31-48 (2003)
80EESaso Dzeroski, Luc De Raedt, Stefan Wrobel: Multirelational data mining 2003: workshop report. SIGKDD Explorations 5(2): 200-202 (2003)
2002
79EELuc De Raedt: Data Mining as Constraint Logic Programming. Computational Logic: Logic Programming and Beyond 2002: 526-547
78EEUlrich Rückert, Stefan Kramer, Luc De Raedt: Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML 2002: 405-417
77EELuc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila: A Theory of Inductive Query Answering. ICDM 2002: 123-130
76EESau Dan Lee, Luc De Raedt: Constraint Based Mining of First Order Sequences in SeqLog. KDID 2002: 76-92
75EEKristian Kersting, Tapani Raiko, Luc De Raedt: Logical Hidden Markov Models (Extendes abstract). Probabilistic Graphical Models 2002
74EESaso Dzeroski, Luc De Raedt: Multi-Relational Data Mining: a Workshop Report. SIGKDD Explorations 4(2): 122-124 (2002)
73EELuc De Raedt: A Perspective on Inductive Databases. SIGKDD Explorations 4(2): 69-77 (2002)
2001
72 Luc De Raedt, Peter A. Flach: Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings Springer 2001
71 Luc De Raedt, Arno Siebes: Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings Springer 2001
70 Stefan Kramer, Luc De Raedt: Feature Construction with Version Spaces for Biochemical Applications. ICML 2001: 258-265
69 Luc De Raedt, Stefan Kramer: The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. IJCAI 2001: 853-862
68EEKristian Kersting, Luc De Raedt: Adaptive Bayesian Logic Programs. ILP 2001: 104-117
67EEKristian Kersting, Luc De Raedt: Towards Combining Inductive Logic Programming with Bayesian Networks. ILP 2001: 118-131
66EEStefan Kramer, Luc De Raedt, Christoph Helma: Molecular feature mining in HIV data. KDD 2001: 136-143
65EEWim Van Laer, Luc De Raedt: How to Upgrade Propositional Learners to First Order Logic: A Case Study. Machine Learning and Its Applications 2001: 102-126
64EEKristian Kersting, Luc De Raedt: Bayesian Logic Programs CoRR cs.AI/0111058: (2001)
63 Saso Dzeroski, Luc De Raedt, Kurt Driessens: Relational Reinforcement Learning. Machine Learning 43(1/2): 7-52 (2001)
2000
62EELuc De Raedt: A Logical Database Mining Query Language. ILP 2000: 78-92
61EEKristian Kersting, Luc De Raedt: Bayesian Logic Programs. ILP Work-in-progress reports 2000
60 Luc De Raedt, Johannes A. La Poutré, Floor Verdenius: AI Research in the Benelux - Guest Editorial. AI Commun. 13(1): 1-2 (2000)
59 Luc De Raedt, Maarten van Someren: Benelearn: The First 10 Years. AI Commun. 13(1): 3-4 (2000)
58EEHendrik Blockeel, Luc De Raedt, Jan Ramon: Top-down induction of clustering trees CoRR cs.LG/0011032: (2000)
57EEHendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations CoRR cs.LG/0011044: (2000)
1999
56EEShan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt: Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. ILP 1999: 245-256
55EEJan Ramon, Luc De Raedt: Instance Based Function Learning. ILP 1999: 268-278
54 Luc De Raedt: Database Mining and Inductive Logic Programming. JFPLC 1999: 73-74
53 Luc De Raedt, Hendrik Blockeel: Relational Learning and Inductive Logic Programming Made Easy Abstract of Tutorial. PKDD 1999: 590
52 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
51EELuc De Raedt: An Inductive Logic Programming Query Language for Database Mining. AISC 1998: 1-13
50 Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ICML 1998: 136-143
49 Hendrik Blockeel, Luc De Raedt, Jan Ramon: Top-Down Induction of Clustering Trees. ICML 1998: 55-63
48 Luc De Raedt: Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). ILP 1998: 1-8
47 Saso Dzeroski, Luc De Raedt, Hendrik Blockeel: Relational Reinforcement Learning. ILP 1998: 11-22
46 Nico Jacobs, Kurt Driessens, Luc De Raedt: Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP 1998: 145-154
45EEKurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt: Inductive Verification and Validation of the KULRoT RoboCup Team. RoboCup 1998: 193-206
44EEHendrik Blockeel, Luc De Raedt: Isidd: An Interactive System for Inductive Database Design. Applied Artificial Intelligence 12(5): 385-420 (1998)
43EEHendrik Blockeel, Luc De Raedt: Top-Down Induction of First-Order Logical Decision Trees. Artif. Intell. 101(1-2): 285-297 (1998)
1997
42EELuc De Raedt, Peter Idestam-Almquist, Gunther Sablon: Theta-Subsumption for Structural Matching. ECML 1997: 73-84
41 Luc De Raedt: Machine Learning for Verification and Validation. EUROVAV 1997: 4
40 Luc Dehaspe, Luc De Raedt: Mining Association Rules in Multiple Relations. ILP 1997: 125-132
39 Luc De Raedt, Hendrik Blockeel: Using Logical Decision Trees for Clustering. ILP 1997: 133-140
38 Hendrik Blockeel, Luc De Raedt: Lookahead and Discretization in ILP. ILP 1997: 77-84
37EEWim Van Laer, Luc De Raedt, Saso Dzeroski: On Multi-class Problems and Discretization in Inductive Logic Programming. ISMIS 1997: 277-286
36 Luc De Raedt: Artificial Intelligence in Belgium and the BeNeLux: Past and Future. AI Commun. 10(3-4): 201-202 (1997)
35EELuc De Raedt: Logical Settings for Concept-Learning. Artif. Intell. 95(1): 187-201 (1997)
34 Luc De Raedt, Luc Dehaspe: Clausal Discovery. Machine Learning 26(2-3): 99-146 (1997)
1996
33EEHendrik Blockeel, Luc De Raedt: Inductive Database Design. ISMIS 1996: 376-385
32EELuc De Raedt: PAC-Learning Logic Programs under the Closed-World Assumption. ISMIS 1996: 531-540
31EELuc Dehaspe, Luc De Raedt: DLAB: A Declarative Language Bias Formalism. ISMIS 1996: 613-622
30 Hendrik Blockeel, Luc De Raedt: Relational Knowledge Discovery in Databases. Inductive Logic Programming Workshop 1996: 199-211
29 Erika Van Baelen, Luc De Raedt: Analysis and Prediction of Piano Performances Using Inductive Logic Programming. Inductive Logic Programming Workshop 1996: 55-71
28EELuc De Raedt, Nada Lavrac: Multiple Predicate Learning in Two Inductive Logic Programming Settings. Logic Journal of the IGPL 4(2): 227-254 (1996)
1995
27 Luc De Raedt, Wim Van Laer: Inductive Constraint Logic. ALT 1995: 80-94
26 Gunther Sablon, Luc De Raedt: Forgetting and Compacting data in Concept Learning. IJCAI 1995: 432-438
25 Nada Lavrac, Luc De Raedt: Inductive Logic Programming: A Survey of European Research. AI Commun. 8(1): 3-19 (1995)
24 Hilde Adé, Luc De Raedt, Maurice Bruynooghe: Declarative Bias for Specific-to-General ILP Systems. Machine Learning 20(1-2): 119-154 (1995)
1994
23 Francesco Bergadano, Luc De Raedt: Machine Learning: ECML-94, European Conference on Machine Learning, Catania, Italy, April 6-8, 1994, Proceedings Springer 1994
22EEHilde Adé, Bart Malfait, Luc De Raedt: RUTH: an ILP Theory Revision System. ISMIS 1994: 336-345
21 Wim Van Laer, Luc Dehaspe, Luc De Raedt: Applications of a Logical Discovery Engine. KDD Workshop 1994: 263-274
20 Gunther Sablon, Luc De Raedt, Maurice Bruynooghe: Iterative Versionspaces. Artif. Intell. 69(1-2): 393-409 (1994)
19 Luc De Raedt, Saso Dzeroski: First-Order jk-Clausal Theories are PAC-Learnable. Artif. Intell. 70(1-2): 375-392 (1994)
18 Stephen Muggleton, Luc De Raedt: Inductive Logic Programming: Theory and Methods. J. Log. Program. 19/20: 629-679 (1994)
1993
17 Luc De Raedt, Nada Lavrac, Saso Dzeroski: Multiple Predicate Learning. IJCAI 1993: 1037-1043
16 Luc De Raedt, Maurice Bruynooghe: A Theory of Clausal Discovery. IJCAI 1993: 1058-1063
15 Luc De Raedt: A Brief Introduction to Inductive Logic Programming. ILPS 1993: 45-51
14EELuc De Raedt, Nada Lavrac: The Many Faces of Inductive Logic Programming. ISMIS 1993: 435-449
1992
13 Hilde Adé, Luc De Raedt, Maurice Bruynooghe: Inverse Resolution in an Integrated Inductive-Deductive Learning System. ECAI 1992: 456-457
12 Luc De Raedt, Maurice Bruynooghe: Belief Updating from Integrity Constraints and Queries. Artif. Intell. 53(2-3): 291-307 (1992)
11 Luc De Raedt, Johan Feyaerts, Maurice Bruynooghe: Acquiring object-knowledge. J. Exp. Theor. Artif. Intell. 4(3): 213-232 (1992)
10 Luc De Raedt, Maurice Bruynooghe: Interactive Concept-Learning and Constructive Induction by Analogy. Machine Learning 8: 107-150 (1992)
1991
9EELuc De Raedt, Johan Feyaerts, Maurice Bruynooghe: Acquiring Object-Knowledge for Learning Systems. EWSL 1991: 245-264
8EELuc De Raedt: Panel: Logic and Learnability. EWSL 1991: 344
7 Luc De Raedt, Maurice Bruynooghe, Bern Martens: Integrity Constraints and Interactive Concept-Learning. ML 1991: 394-398
1990
6 Luc De Raedt, Maurice Bruynooghe: On Negation and Three-Valued Logic in Interactive Concept-Learning. ECAI 1990: 207-212
1989
5 Gunther Sablon, Luc De Raedt, Maurice Bruynooghe: Generalizing Multiple Examples in Explanation Based Learning. AII 1989: 177-183
4 Maurice Bruynooghe, Luc De Raedt, Danny De Schreye: Explanation Based Program Transformation. IJCAI 1989: 407-412
3 Luc De Raedt, Maurice Bruynooghe: Towards Friendly Concept-Learners. IJCAI 1989: 849-858
2 Luc De Raedt, Maurice Bruynooghe: Constructive Induction by Analogy. ML 1989: 476-477
1988
1 Luc De Raedt, Maurice Bruynooghe: On Interactive Concept-Learning and Assimilation. EWSL 1988: 167-176

Coauthor Index

1Hilde Adé [13] [22] [24]
2Erika Van Baelen [29]
3Francesco Bergadano [23]
4Jérémy Besson [114]
5Hendrik Blockeel [30] [33] [38] [39] [43] [44] [47] [49] [50] [52] [53] [57] [58]
6Jean-François Boulicaut [108] [114]
7Björn Bringmann [112] [117]
8Maurice Bruynooghe [1] [2] [3] [4] [5] [6] [7] [9] [10] [11] [12] [13] [16] [20] [24]
9Wolfram Burgard [115]
10Alexandru Cocora [115]
11Nathalie Cossement [45]
12Vítor Santos Costa [142]
13Tobias Cramer [87]
14Luc Dehaspe [21] [31] [34] [40]
15Bart Demoen [52] [57] [142]
16Thomas G. Dietterich [102] [103] [119] [123] [148]
17Kurt Driessens [45] [46] [63]
18Saso Dzeroski [17] [19] [37] [47] [50] [63] [74] [80] [82]
19Ulrich Egert [126]
20Johan Feyaerts [9] [11]
21Johannes Fischer [85] [88]
22Peter A. Flach [72]
23Paolo Frasconi [101] [110] [118] [146]
24Gemma C. Garriga (Gemma Casas-Garriga) [128]
25Lise Getoor [102] [103] [119] [123] [148]
26Kurt De Grave [145]
27Tias Guns [141] [151]
28Tayfun Gürel [120] [121] [126]
29Bernd Gutmann [132] [138] [144]
30Barbara Hammer [136] [137] [147]
31Christoph Helma [66] [87]
32Pascal Hitzler [136] [137] [147]
33Tamás Horváth [117]
34Peter Idestam-Almquist [42]
35Nico Jacobs [45] [46] [52] [57]
36Manfred Jaeger [77]
37Steffen Kandler [126]
38Andreas Karwath [95] [105] [138]
39Kristian Kersting [61] [64] [67] [68] [75] [81] [83] [91] [92] [99] [106] [107] [111] [115] [116] [123] [131] [138] [139] [140] [144] [146] [148]
40Roni Khardon [128]
41Angelika Kimmig [116] [129] [130] [131] [142] [144] [152]
42Joost N. Kok [100]
43Stefan Kramer [66] [69] [70] [78] [83] [87]
44Wim Van Laer [21] [27] [37] [56] [65]
45Niels Landwehr [106] [118] [127] [132] [138] [143]
46Nada Lavrac [14] [17] [25] [28]
47Sau Dan Lee [76] [77] [84] [86] [90] [96]
48Wolfgang Maass [136] [137] [147]
49Bart Malfait [22]
50Heikki Mannila [77] [108]
51Bern Martens [7]
52Patrick Monsieurs [45]
53Stephen Muggleton [18] [102] [103] [119] [123] [146] [148]
54Shan-Hwei Nienhuys-Cheng [56]
55Siegfried Nijssen [112] [113] [141] [150] [151]
56Martijn Van Otterlo [92]
57Andrea Passerini [101] [110] [118]
58Matthai Philipose [132]
59Christian Plagemann [115]
60Johannes A. La Poutré (Han La Poutré) [60]
61Tapani Raiko [75] [83] [111]
62Jan Ramon [49] [55] [56] [58] [89] [145] [149]
63Kate Revoredo [116] [131]
64Céline Robardet [114]
65Ricardo Rocha [142]
66Stefan Rotter [120] [121] [126]
67Ulrich Rückert [78] [133]
68Gunther Sablon [5] [20] [26] [42]
69Danny De Schreye [4]
70Arno Siebes [71]
71Maarten van Someren [59]
72Christian Stolle [105]
73Ingo Thon [132] [143]
74Hannu Toivonen [116] [129] [130] [131]
75Sunna Torge [107]
76Floor Verdenius [60]
77Takashi Washio [100]
78Stefan Wrobel [80] [109]
79Albrecht Zimmermann [93] [94] [98] [112] [122]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)