| 2025 | ESORICS | Eliminating Exponential Key Growth in PRG-Based Distributed Point Functions. | Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon |
| 2022 | ICDT | Linear Programs with Conjunctive Queries. | Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon |
| 2017 | ALT | Learning from Networked Examples. | Yuyi Wang, Zheng-Chu Guo, Jan Ramon |
| 2016 | IJCAI | Bounds for Learning from Evolutionary-Related Data in the Realizable Case. | Ondrej Kuzelka, Yuyi Wang, Jan Ramon |
| 2015 | DIS | Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel. | Leander Schietgat, Thomas Fannes, Jan Ramon |
| 2015 | ILP | Mine 'Em All: A Note on Mining All Graphs. | Ondrej Kuzelka, Jan Ramon |
| 2015 | ILP | A Note on Restricted Forms of LGG. | Ondrej Kuzelka, Jan Ramon |
| 2014 | ICCS | Towards a Framework for Learning from Networked Data. | Jan Ramon |
| 2013 | ACML | Guided Monte Carlo Tree Search for Planning in Learned Environments. | Jelle Van Eyck, Jan Ramon, Fabian Giza Grandas, Geert Meyfroidt, Maurice Bruynooghe, Greta Van den Berghe |
| 2012 | ICLP | Modeling Machine Learning and Data Mining Problems with FO(·). | Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes De Cat, Stef De Pooter, Marc Denecker, Anthony Labarre, Jan Ramon, Sicco Verwer |
| 2012 | ILP | Hybrid Logical Bayesian Networks. | Irma Ravkic, Jan Ramon, Jesse Davis |
| 2009 | ACML | Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. | Guy Van den Broeck, Kurt Driessens, Jan Ramon |
| 2009 | KDD | Handling missing values and censored data in PCA of pharmacological matrices. | Jan Ramon, Fabrizio Costa |
| 2008 | AAAI | Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. | Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls |
| 2008 | DIS | Active Learning for High Throughput Screening. | Kurt De Grave, Jan Ramon, Luc De Raedt |
| 2008 | DIS | An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. | Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel |
| 2008 | ECAI | Using Decision Trees as the Answer Networks in Temporal Difference-Networks. | Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs |
| 2008 | ICDM | Anti-monotonic Overlap-Graph Support Measures. | Toon Calders, Jan Ramon, Dries Van Dyck |
| 2007 | AAAI | On Policy Learning in Restricted Policy Spaces. | Robby Goetschalckx, Jan Ramon |
| 2007 | IJCAI | Online Learning and Exploiting Relational Models in Reinforcement Learning. | Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe |
| 2007 | ILP | Learning Directed Probabilistic Logical Models Using Ordering-Search. | Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel |
| 2006 | ILP | Generalized Ordering-Search for Learning Directed Probabilistic Logical Models. | Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe |
| 2006 | ILP | ReMauve: A Relational Model Tree Learner. | Celine Vens, Jan Ramon, Hendrik Blockeel |
| 2006 | KDD | Frequent subgraph mining in outerplanar graphs. | Tams Horvth, Jan Ramon, Stefan Wrobel |
| 2005 | ILP | Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models. | Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon |
| 2004 | KR | Condensed Representations for Inductive Logic Programming. | Luc De Raedt, Jan Ramon |
| 2003 | ICML | Relational Instance Based Regression for Relational Reinforcement Learning. | Kurt Driessens, Jan Ramon |
| 2003 | ILP | Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. | Thomas Grtner, Kurt Driessens, Jan Ramon |
| 2002 | ILP | Compact Representation of Knowledge Bases in ILP. | Jan Struyf, Jan Ramon, Hendrik Blockeel |
| 2000 | ILP | Executing Query Packs in ILP. | Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele |
| 2000 | ILP | Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering. | Jan Ramon, Luc Dehaspe |
| 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 | ICML | Top-Down Induction of Clustering Trees. | Hendrik Blockeel, Luc De Raedt, Jan Ramon |
| 1998 | ILP | A Framework for Defining Distances Between First-Order Logic Objects. | Jan Ramon, Maurice Bruynooghe |