| 2018 | Modeling Bitcoin Protocols with Probabilistic Logic Programming. | Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, Riccardo Zese |
| 2018 | Tensor-Based Abduction in Horn Propositional Programs. | Yaniv Aspis, Krysia Broda, Alessandra Russo |
| 2018 | Set-Valued Probabilistic Sentential Decision Diagrams. | Alessandro Antonucci, Alessandro Facchini |
| 2018 | GPU-Accelerated Hypothesis Cover Set Testing for Learning in Logic. | Eyad Algahtani, Dimitar Kazakov |
| 2017 | An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. | Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma |
| 2017 | From PRISM to ProbLog and Back Again. | Alexander Vandenbroucke, Tom Schrijvers |
| 2017 | Learning of Primitive Formal Systems Defining Labelled Ordered Tree Languages via Queries. | Tomoyuki Uchida, Satoshi Matsumoto, Takayoshi Shoudai, Yusuke Suzuki, Tetsuhiro Miyahara |
| 2017 | Pruning Hypothesis Spaces Using Learned Domain Theories. | Martin Svatos, Gustav Sourek, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | Stacked Structure Learning for Lifted Relational Neural Networks. | Gustav Sourek, Martin Svatos, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | Mining Rare Sequential Patterns with ASP. | Ahmed Samet, Thomas Guyet, Benjamin Ngrevergne |
| 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 | Learning from Ordinal Data with Inductive Logic Programming in Description Logic. | Nunung Nurul Qomariyah, Dimitar Kazakov |
| 2017 | Learning Logic Program Representation for Delayed Systems With Limited Training Data. | Yin Jun Phua, Tony Ribeiro, Sophie Tourret, Katsumi Inoue |
| 2017 | Parallel Inductive Logic Programming System for Superlinear Speedup. | Hiroyuki Nishiyama, Hayato Ohwada |
| 2017 | Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. | Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan |
| 2017 | Parallel Online Learning of Event Definitions. | Nikos Katzouris, Alexander Artikis, Georgios Paliouras |
| 2017 | Adaptive Incremental Learning for Statistical Relational Models Using Gradient-Based Boosting. | Yulong Gu, Paolo Missier |
| 2017 | Information-Gain Computation. | Anthony Di Franco |
| 2017 | Deep Probabilistic Logic Programming. | Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi |
| 2017 | Demystifying Relational Latent Representations. | Sebastijan Dumancic, Hendrik Blockeel |
| 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 Crte-Real, Ins Dutra, Ricardo Rocha |
| 2017 | The Effect of Predicate Order on Curriculum Learning in ILP. | Hank Conn, Stephen H. Muggleton |
| 2017 | Clustering Multi-relationnal TV Data by Diverting Supervised ILP. | Vincent Claveau |
| 2017 | PU-learning Disjunctive Concepts in ILP. | Hendrik Blockeel |