| 2026 | AAAI | DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs. | Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra |
| 2025 | AAAI | Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields. | David Debot, Gabriele Venturato, Giuseppe Marra, Luc De Raedt |
| 2025 | AAAI | The Gradient of Algebraic Model Counting. | Jaron Maene, Luc De Raedt |
| 2025 | AAAI | Relational Neurosymbolic Markov Models. | Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra |
| 2025 | ECAI | TABIA: A Language to Transform, Combine, and Reason over Semi-Structured Tabular Data. | Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt |
| 2025 | ECAI | Neurosymbolic OCR for Handwritten Tax Forms. | Quinten Dewulf, Robin Manhaeve, Wannes Meert, Luc De Raedt |
| 2025 | ECAI | DEEPGRAPHLOG for Layered Neurosymbolic AI. | Adem Kikaj, Giuseppe Marra, Floris Geerts, Robin Manhaeve, Luc De Raedt |
| 2025 | IJCAI | NeSyA: Neurosymbolic Automata. | Nikolaos Manginas, George Paliouras, Luc De Raedt |
| 2024 | AAAI | SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. | Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2024 | AAAI | Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. | Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2024 | COLING | CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments. | Savitha Sam Abraham, Marjan Alirezaie, Luc De Raedt |
| 2024 | DIS | Approximate Compression of CNF Concepts. | Sieben Bocklandt, Vincent Derkinderen, Angelika Kimmig, Luc De Raedt |
| 2024 | ECAI | EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic. | Victor Verreet, Lennert De Smet, Luc De Raedt, Emanuele Sansone |
| 2024 | ICML | On the Hardness of Probabilistic Neurosymbolic Learning. | Jaron Maene, Vincent Derkinderen, Luc De Raedt |
| 2024 | IDA | Subgraph Mining for Graph Neural Networks. | Adem Kikaj, Giuseppe Marra, Luc De Raedt |
| 2024 | KR | Automated Reasoning in Systems Biology: A Necessity for Precision Medicine. | Pedro Zuidberg Dos Martires, Vincent Derkinderen, Luc De Raedt, Marcus Krantz |
| 2024 | NeSy | Valid Text-to-SQL Generation with Unification-Based DeepStochLog. | Ying Jiao, Luc De Raedt, Giuseppe Marra |
| 2023 | IJCAI | Safe Reinforcement Learning via Probabilistic Logic Shields. | Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt |
| 2023 | NeSy | Safe Reinforcement Learning via Probabilistic Logic Shields. | Wen-Chi Yang, Giuseppe Marra, Gavin Rens, Luc De Raedt |
| 2023 | UAI | Neural probabilistic logic programming in discrete-continuous domains. | Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, Luc De Raedt |
| 2022 | AAAI | Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. | Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2022 | AAAI | DeepStochLog: Neural Stochastic Logic Programming. | Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt |
| 2022 | IDA | Parameter Learning in ProbLog with Annotated Disjunctions. | Wen-Chi Yang, Arcchit Jain, Luc De Raedt, Wannes Meert |
| 2021 | AAAI | Democratizing Constraint Satisfaction Problems through Machine Learning. | Mohit Kumar, Samuel Kolb, Clment Gautrais, Luc De Raedt |
| 2021 | EMNLP | Mapping probability word problems to executable representations. | Simon Suster, Pieter Fivez, Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt, Walter Daelemans |
| 2021 | IJCAI | Learning CNF Theories Using MDL and Predicate Invention. | Arcchit Jain, Clment Gautrais, Angelika Kimmig, Luc De Raedt |
| 2021 | IDA | SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints. | Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt |
| 2021 | IDA | Muppets: Multipurpose Table Segmentation. | Gust Verbruggen, Lidia Contreras Ochando, Csar Ferri, Jos Hernndez-Orallo, Luc De Raedt |
| 2021 | IDA | avatar - Automated Feature Wrangling for Machine Learning. | Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumancic, Luc De Raedt |
| 2021 | KR | Approximate Inference for Neural Probabilistic Logic Programming. | Robin Manhaeve, Giuseppe Marra, Luc De Raedt |
| 2020 | AAAI | Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. | Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt |
| 2020 | ECAI | Algebraic Circuits for Decision Theoretic Inference and Learning. | Vincent Derkinderen, Luc De Raedt |
| 2020 | IJCAI | ProbAnch: a Modular Probabilistic Anchoring Framework. | Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, Amy Loutfi |
| 2020 | IJCAI | From Statistical Relational to Neuro-Symbolic Artificial Intelligence. | Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra |
| 2020 | UAI | Ordering Variables for Weighted Model Integration. | Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt |
| 2019 | AAAI | Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation. | Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt |
| 2019 | IJCAI | The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. | Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt |
| 2019 | IJCAI | Acquiring Integer Programs from Data. | Mohit Kumar, Stefano Teso, Luc De Raedt |
| 2019 | ICTAI | Automating Personnel Rostering by Learning Constraints Using Tensors. | Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt |
| 2019 | NeSy | Neuro-Symbolic = Neural + Logical + Probabilistic. | Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig |
| 2019 | UAI | How to Exploit Structure while Solving Weighted Model Integration Problems. | Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt |
| 2018 | AAAI | Learning Constraints From Examples. | Luc De Raedt, Andrea Passerini, Stefano Teso |
| 2018 | IJCAI | Learning SMT(LRA) Constraints using SMT Solvers. | Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt |
| 2018 | ICTAI | Sketched Answer Set Programming. | Sergey Paramonov, Christian Bessiere, Anton Dries, Luc De Raedt |
| 2018 | IDA | Elements of an Automatic Data Scientist. | Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen |
| 2018 | IDA | Automatically Wrangling Spreadsheets into Machine Learning Data Formats. | Gust Verbruggen, Luc De Raedt |
| 2017 | CIKM | TaCLe: Learning Constraints in Tabular Data. | Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt |
| 2017 | IJCAI | Stochastic Constraint Programming with And-Or Branch-and-Bound. | Behrouz Babaki, Tias Guns, Luc De Raedt |
| 2017 | IJCAI | Solving Probability Problems in Natural Language. | Anton Dries, Angelika Kimmig, Jesse Davis, Vaishak Belle, Luc De Raedt |
| 2017 | ILP | Relational Affordance Learning for Task-Dependent Robot Grasping. | Laura Antanas, Anton Dries, Plinio Moreno, Luc De Raedt |
| 2016 | AAAI | Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs. | Jonas Vlasselaer, Angelika Kimmig, Anton Dries, Wannes Meert, Luc De Raedt |
| 2016 | ECAI | Learning the Structure of Dynamic Hybrid Relational Models. | Davide Nitti, Irma Ravkic, Jesse Davis, Luc De Raedt |
| 2015 | AAAI | Languages for Learning and Mining. | Luc De Raedt |
| 2015 | IJCAI | kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). | Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave |
| 2015 | IJCAI | Graph Invariant Kernels. | Francesco Orsini, Paolo Frasconi, Luc De Raedt |
| 2015 | IJCAI | Inducing Probabilistic Relational Rules from Probabilistic Examples. | Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke |
| 2015 | IJCAI | Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. | Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt |
| 2015 | ILP | Relational Kernel-Based Grasping with Numerical Features. | Laura Antanas, Plinio Moreno, Luc De Raedt |
| 2015 | ILP | kProbLog: An Algebraic Prolog for Kernel Programming. | Francesco Orsini, Paolo Frasconi, Luc De Raedt |
| 2015 | ILP | An Exercise in Declarative Modeling for Relational Query Mining. | Sergey Paramonov, Matthijs van Leeuwen, Marc Denecker, Luc De Raedt |
| 2015 | IDA | Constraint-Based Querying for Bayesian Network Exploration. | Behrouz Babaki, Tias Guns, Siegfried Nijssen, Luc De Raedt |
| 2015 | PAKDD | Rank Matrix Factorisation. | Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt |
| 2014 | AAAI | Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. | Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
| 2014 | AAAI | Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. | Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
| 2014 | AAAI | Efficient Probabilistic Inference for Dynamic Relational Models. | Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt |
| 2014 | ACL | kLogNLP: Graph Kernel-based Relational Learning of Natural Language. | Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt |
| 2014 | ECAI | Condition Monitoring with Incomplete Observations. | Jonas Vlasselaer, Wannes Meert, Rocco Langone, Luc De Raedt |
| 2014 | ICRA | Occluded object search by relational affordances. | Bogdan Moldovan, Luc De Raedt |
| 2014 | ICRA | Relational object tracking and learning. | Davide Nitti, Tinne De Laet, Luc De Raedt |
| 2014 | ILP | PageRank, ProPPR, and Stochastic Logic Programs. | Dries Van Daele, Angelika Kimmig, Luc De Raedt |
| 2014 | IROS | Learning relational affordance models for two-arm robots. | Bogdan Moldovan, Luc De Raedt |
| 2014 | WACV | Towards cautious collective inference for object verification. | Jos Oramas M., Luc De Raedt, Tinne Tuytelaars |
| 2014 | SDM | Relational Regularization and Feature Ranking. | Fabrizio Costa, Mathias Verbeke, Luc De Raedt |
| 2013 | ADBIS | 10 Years of Probabilistic Querying - What Next? | Martin Theobald, Luc De Raedt, Maximilian Dylla, Angelika Kimmig, Iris Miliaraki |
| 2013 | ECSQARU | MCMC Estimation of Conditional Probabilities in Probabilistic Programming Languages. | Bogdan Moldovan, Ingo Thon, Jesse Davis, Luc De Raedt |
| 2013 | ICCV | Allocentric Pose Estimation. | Jos Oramas M., Luc De Raedt, Tinne Tuytelaars |
| 2013 | ICDM | The MiningZinc Framework for Constraint-Based Itemset Mining. | Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt |
| 2013 | IJCAI | MiningZinc: A Modeling Language for Constraint-Based Mining. | Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt |
| 2013 | IROS | A particle filter for hybrid relational domains. | Davide Nitti, Tinne De Laet, Luc De Raedt |
| 2013 | ICTAI | Active Preference Learning for Ranking Patterns. | Vladimir Dzyuba, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt |
| 2013 | WACV | A relational kernel-based approach to scene classification. | Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt |
| 2012 | ALT | Declarative Modeling for Machine Learning and Data Mining. | Luc De Raedt |
| 2012 | DIS | Declarative Modeling for Machine Learning and Data Mining. | Luc De Raedt |
| 2012 | EMNLP | A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. | Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt |
| 2012 | ICDM | Mining Local Staircase Patterns in Noisy Data. | Thanh Le Van, Ana Carolina Fierro, Tias Guns, Matthijs van Leeuwen, Siegfried Nijssen, Luc De Raedt, Kathleen Marchal |
| 2012 | ICFCA | Declarative Modeling for Machine Learning and Data Mining. | Luc De Raedt |
| 2012 | ICPRAM | A Relational Distance-based Framework for Hierarchical Image Understanding. | Laura Antanas, Martijn van Otterlo, Jos Oramas M., Tinne Tuytelaars, Luc De Raedt |
| 2012 | ICRA | Learning relational affordance models for robots in multi-object manipulation tasks. | Bogdan Moldovan, Plinio Moreno, Martijn van Otterlo, Jos Santos-Victor, Luc De Raedt |
| 2012 | SSPR | A Relational Kernel-Based Framework for Hierarchical Image Understanding. | Laura Antanas, Paolo Frasconi, Fabrizio Costa, Tinne Tuytelaars, Luc De Raedt |
| 2011 | AAAI | An Algebraic Prolog for Reasoning about Possible Worlds. | Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
| 2011 | ICDM | Declarative Heuristic Search for Pattern Set Mining. | Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt |
| 2011 | IJCAI | Lifted Probabilistic Inference by First-Order Knowledge Compilation. | Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt |
| 2011 | ILP | Relational Learning for Spatial Relation Extraction from Natural Language. | Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt |
| 2011 | ILP | Statistical Relational Learning of Object Affordances for Robotic Manipulation. | Bogdan Moldovan, Martijn van Otterlo, Luc De Raedt, Plinio Moreno, Jos Santos-Victor |
| 2011 | ILP | Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. | Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt |
| 2011 | ISMIS | Towards Programming Languages for Machine Learning and Data Mining (Extended Abstract). | Luc De Raedt, Siegfried Nijssen |
| 2011 | PAKDD | Evaluating Pattern Set Mining Strategies in a Constraint Programming Framework. | Tias Guns, Siegfried Nijssen, Luc De Raedt |
| 2011 | UAI | Inference in Probabilistic Logic Programs using Weighted CNF's. | Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt |
| 2010 | AAAI | DTProbLog: A Decision-Theoretic Probabilistic Prolog. | Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt |
| 2010 | AAAI | Constraint Programming for Data Mining and Machine Learning. | Luc De Raedt, Tias Guns, Siegfried Nijssen |
| 2010 | ECAI | ProbLog Technology for Inference in a Probabilistic First Order Logic. | Maurice Bruynooghe, Theofrastos Mantadelis, Angelika Kimmig, Bernd Gutmann, Joost Vennekens, Gerda Janssens, Luc De Raedt |
| 2010 | ILP | Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses. | Laura Antanas, Martijn van Otterlo, Jos Oramas M., Tinne Tuytelaars, Luc De Raedt |
| 2010 | ILP | Extending ProbLog with Continuous Distributions. | Bernd Gutmann, Manfred Jaeger, Luc De Raedt |
| 2010 | ILP | Probabilistic Rule Learning. | Luc De Raedt, Ingo Thon |
| 2009 | CIKM | A query language for analyzing networks. | Anton Dries, Siegfried Nijssen, Luc De Raedt |
| 2009 | ICFCA | The Logic of Learning. | Luc De Raedt |
| 2009 | ICLP | Probabilistic Logic Learning - A Tutorial Abstract. | Luc De Raedt |
| 2009 | IJCAI | Local Query Mining in a Probabilistic Prolog. | Angelika Kimmig, Luc De Raedt |
| 2009 | ILP | Towards Clausal Discovery for Stream Mining. | Anton Dries, Luc De Raedt |
| 2009 | KDD | Correlated itemset mining in ROC space: a constraint programming approach. | Siegfried Nijssen, Tias Guns, Luc De Raedt |
| 2009 | SDM | Grammar Mining. | Siegfried Nijssen, Luc De Raedt |
| 2008 | DIS | Active Learning for High Throughput Screening. | Kurt De Grave, Jan Ramon, Luc De Raedt |
| 2008 | ICLP | On the Efficient Execution of ProbLog Programs. | Angelika Kimmig, Vtor Santos Costa, Ricardo Rocha, Bart Demoen, Luc De Raedt |
| 2008 | KDD | Constraint programming for itemset mining. | Luc De Raedt, Tias Guns, Siegfried Nijssen |
| 2007 | IJCAI | On Mining Closed Sets in Multi-Relational Data. | Gemma C. Garriga, Roni Khardon, Luc De Raedt |
| 2007 | IJCAI | r-grams: Relational Grams. | Niels Landwehr, Luc De Raedt |
| 2007 | IJCAI | Statistical Relational Learning - A Logical Approach (Abstract of Invited Talk). | Luc De Raedt |
| 2007 | IJCAI | ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. | Luc De Raedt, Angelika Kimmig, Hannu Toivonen |
| 2007 | IJCNN | Predicting Spike Activity in Neuronal Cultures. | Tayfun Grel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter |
| 2007 | SDM | Constraint-Based Pattern Set Mining. | Luc De Raedt, Albrecht Zimmermann |
| 2006 | AAAI | kFOIL: Learning Simple Relational Kernels. | Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi |
| 2006 | ILP | Frequent Hypergraph Mining. | Tams Horvth, Bjrn Bringmann, Luc De Raedt |
| 2006 | ILP | Revising Probabilistic Prolog Programs. | Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen |
| 2006 | IROS | Learning Relational Navigation Policies. | Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt |
| 2005 | AAAI | nFOIL: Integrating Nave Bayes and FOIL. | Niels Landwehr, Kristian Kersting, Luc De Raedt |
| 2005 | AAAI | Towards Learning Stochastic Logic Programs from Proof-Banks. | Luc De Raedt, Kristian Kersting, Sunna Torge |
| 2005 | DIS | CLASSIC'CL: An Integrated ILP System. | Christian Stolle, Andreas Karwath, Luc De Raedt |
| 2004 | ALT | Probabilistic Inductive Logic Programming. | Luc De Raedt, Kristian Kersting |
| 2004 | DIS | Predictive Graph Mining. | Andreas Karwath, Luc De Raedt |
| 2004 | DIS | CorClass: Correlated Association Rule Mining for Classification. | Albrecht Zimmermann, Luc De Raedt |
| 2004 | ICML | Bellman goes relational. | Kristian Kersting, Martijn van Otterlo, Luc De Raedt |
| 2004 | ILP | Logical Markov Decision Programs and the Convergence of Logical TD(lambda). | Kristian Kersting, Luc De Raedt |
| 2004 | KR | Condensed Representations for Inductive Logic Programming. | Luc De Raedt, Jan Ramon |
| 2004 | PAKDD | Towards Optimizing Conjunctive Inductive Queries. | Johannes Fischer, Luc De Raedt |
| 2003 | ICDM | An Algebra for Inductive Query Evaluation. | Sau Dan Lee, Luc De Raedt |
| 2003 | PSB | Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. | Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt |
| 2002 | ICDM | A Theory of Inductive Query Answering. | Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila |
| 2001 | ICML | Feature Construction with Version Spaces for Biochemical Applications. | Stefan Kramer, Luc De Raedt |
| 2001 | IJCAI | The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. | Luc De Raedt, Stefan Kramer |
| 2001 | ILP | Adaptive Bayesian Logic Programs. | Kristian Kersting, Luc De Raedt |
| 2001 | ILP | Towards Combining Inductive Logic Programming with Bayesian Networks. | Kristian Kersting, Luc De Raedt |
| 2001 | KDD | Molecular feature mining in HIV data. | Stefan Kramer, Luc De Raedt, Christoph Helma |
| 2000 | ILP | Bayesian Logic Programs. | Kristian Kersting, Luc De Raedt |
| 2000 | ILP | A Logical Database Mining Query Language. | Luc De Raedt |
| 1999 | ILP | Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms. | Shan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt |
| 1999 | ILP | Instance Based Function Learning. | Jan Ramon, Luc De Raedt |
| 1998 | AISC | An Inductive Logic Programming Query Language for Database Mining. | Luc De Raedt |
| 1998 | ICML | Top-Down Induction of Clustering Trees. | Hendrik Blockeel, Luc De Raedt, Jan Ramon |
| 1998 | ICML | Relational Reinforcement Learning. | Saso Dzeroski, Luc De Raedt, Hendrik Blockeel |
| 1998 | ILP | Relational Reinforcement Learning. | Saso Dzeroski, Luc De Raedt, Hendrik Blockeel |
| 1998 | ILP | Using ILP-Systems for Verification and Validation of Multi-agent Systems. | Nico Jacobs, Kurt Driessens, Luc De Raedt |
| 1998 | ILP | Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract). | Luc De Raedt |
| 1998 | RoboCup | Inductive Verification and Validation of the KULRoT RoboCup Team. | Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt |
| 1997 | ILP | Lookahead and Discretization in ILP. | Hendrik Blockeel, Luc De Raedt |
| 1997 | ILP | Mining Association Rules in Multiple Relations. | Luc Dehaspe, Luc De Raedt |
| 1997 | ILP | Using Logical Decision Trees for Clustering. | Luc De Raedt, Hendrik Blockeel |
| 1997 | ISMIS | On Multi-class Problems and Discretization in Inductive Logic Programming. | Wim Van Laer, Luc De Raedt, Saso Dzeroski |
| 1996 | ILP | Analysis and Prediction of Piano Performances Using Inductive Logic Programming. | Erika Van Baelen, Luc De Raedt |
| 1996 | ILP | Relational Knowledge Discovery in Databases. | Hendrik Blockeel, Luc De Raedt |
| 1996 | ISMIS | Inductive Database Design. | Hendrik Blockeel, Luc De Raedt |
| 1996 | ISMIS | DLAB: A Declarative Language Bias Formalism. | Luc Dehaspe, Luc De Raedt |
| 1996 | ISMIS | PAC-Learning Logic Programs under the Closed-World Assumption. | Luc De Raedt |
| 1995 | ALT | Inductive Constraint Logic. | Luc De Raedt, Wim Van Laer |
| 1995 | IJCAI | Forgetting and Compacting data in Concept Learning. | Gunther Sablon, Luc De Raedt |
| 1994 | ISMIS | RUTH: an ILP Theory Revision System. | Hilde Ad, Bart Malfait, Luc De Raedt |
| 1994 | KDD | Applications of a Logical Discovery Engine. | Wim Van Laer, Luc Dehaspe, Luc De Raedt |
| 1993 | IJCAI | A Theory of Clausal Discovery. | Luc De Raedt, Maurice Bruynooghe |
| 1993 | IJCAI | Multiple Predicate Learning. | Luc De Raedt, Nada Lavrac, Saso Dzeroski |
| 1993 | ISMIS | The Many Faces of Inductive Logic Programming. | Luc De Raedt, Nada Lavrac |
| 1992 | ECAI | Inverse Resolution in an Integrated Inductive-Deductive Learning System. | Hilde Ad, Luc De Raedt, Maurice Bruynooghe |
| 1991 | ICML | Integrity Constraints and Interactive Concept-Learning. | Luc De Raedt, Maurice Bruynooghe, Bern Martens |
| 1990 | ECAI | On Negation and Three-Valued Logic in Interactive Concept-Learning. | Luc De Raedt, Maurice Bruynooghe |
| 1989 | ICML | Constructive Induction by Analogy. | Luc De Raedt, Maurice Bruynooghe |
| 1989 | IJCAI | Explanation Based Program Transformation. | Maurice Bruynooghe, Luc De Raedt, Danny De Schreye |
| 1989 | IJCAI | Towards Friendly Concept-Learners. | Luc De Raedt, Maurice Bruynooghe |