| 2018 | Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers Nicolas Lachiche, Christel Vrain |
| 2017 | An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma |
| 2017 | Demystifying Relational Latent Representations. Sebastijan Dumancic, Hendrik Blockeel |
| 2017 | Inductive Learning from State Transitions over Continuous Domains. Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier F. Roux, Katsumi Inoue |
| 2017 | Logical Vision: One-Shot Meta-Interpretive Learning from Real Images. Wang-Zhou Dai, Stephen H. Muggleton, Jing Wen, Alireza Tamaddoni-Nezhad, Zhi-Hua Zhou |
| 2017 | On Applying Probabilistic Logic Programming to Breast Cancer Data. Joana Côrte-Real, Inês Dutra, Ricardo Rocha |
| 2017 | Parallel Inductive Logic Programming System for Superlinear Speedup. Hiroyuki Nishiyama, Hayato Ohwada |
| 2017 | Parallel Online Learning of Event Definitions. Nikos Katzouris, Alexander Artikis, Georgios Paliouras |
| 2017 | Positive and Unlabeled Relational Classification Through Label Frequency Estimation. Jessa Bekker, Jesse Davis |
| 2017 | Pruning Hypothesis Spaces Using Learned Domain Theories. Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka |
| 2017 | Relational Affordance Learning for Task-Dependent Robot Grasping. Laura Antanas, Anton Dries, Plinio Moreno, Luc De Raedt |
| 2017 | Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan |
| 2017 | Stacked Structure Learning for Lifted Relational Neural Networks. Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka |