| 2023 | A Review of Inductive Logic Programming Applications for Robotic Systems. | Youssef Mahmoud Youssef, Martin E. Mller |
| 2023 | Statistical Relational Structure Learning with Scaled Weight Parameters. | Felix Weitkmper, Dmitriy Ravdin, Ramona Fabry |
| 2023 | An Experimental Overview of Neural-Symbolic Systems. | Arne Vermeulen, Robin Manhaeve, Giuseppe Marra |
| 2023 | Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming. | Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad |
| 2023 | What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" Queries. | Kilian Rckschlo, Felix Weitkmper |
| 2023 | GNN Based Extraction of Minimal Unsatisfiable Subsets. | Sota Moriyama, Koji Watanabe, Katsumi Inoue |
| 2023 | Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2023 | Learning Strategies of Inductive Logic Programming Using Reinforcement Learning. | Takeru Isobe, Katsumi Inoue |
| 2023 | Towards ILP-Based LTL f Passive Learning. | Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo |
| 2023 | Regularization in Probabilistic Inductive Logic Programming. | Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi |
| 2023 | Meta-interpretive Learning from Fractal Images. | Daniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad |
| 2023 | A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs. | Damiano Azzolini |
| 2022 | Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies. | Felix Weitkmper |
| 2022 | Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment. | Dany Varghese, Didac Barroso-Bergada, David A. Bohan, Alireza Tamaddoni-Nezhad |
| 2022 | Diagnosis of Event Sequences with LFIT. | Tony Ribeiro, Maxime Folschette, Morgan Magnin, Kotaro Okazaki, Lo Kuo-Yen, Katsumi Inoue |
| 2022 | Learning Assumption-Based Argumentation Frameworks. | Maurizio Proietti, Francesca Toni |
| 2022 | Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2022 | Learning Hierarchical Problem Networks for Knowledge-Based Planning. | Pat Langley |
| 2022 | Learning Automata-Based Complex Event Patterns in Answer Set Programming. | Nikos Katzouris, Georgios Paliouras |
| 2022 | Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust. | Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid |
| 2022 | A Program-Synthesis Challenge for ARC-Like Tasks. | Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff |
| 2022 | Navigable Atom-Rule Interactions in PSL Models Enhanced by Rule Verbalizations, with an Application to Etymological Inference. | Verena Blaschke, Thora Daneyko, Jekaterina Kaparina, Zhuge Gao, Johannes Dellert |
| 2022 | Learning the Parameters of Probabilistic Answer Set Programs. | Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi |
| 2021 | A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. | Patrick Westphal, Sahar Vahdati, Jens Lehmann |
| 2021 | Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. | Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting |