| 2021 | Human-Like Rule Learning from Images Using One-Shot Hypothesis Derivation. | Dany Varghese, Roman Bauer, Daniel Baxter-Beard, Stephen H. Muggleton, Alireza Tamaddoni-Nezhad |
| 2021 | Learning and Revising Dynamic Temporal Theories in the Full Discrete Event Calculus. | Oliver Ray |
| 2021 | Learning Logic Programs Using Neural Networks by Exploiting Symbolic Invariance. | Yin Jun Phua, Katsumi Inoue |
| 2021 | A First Step Towards Even More Sparse Encodings of Probability Distributions. | Florian Andreas Marwitz, Tanya Braun, Ralf Mller |
| 2021 | Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2021 | Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. | Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha |
| 2021 | Ontology Graph Embeddings and ILP for Financial Forecasting. | Can Erten, Dimitar Kazakov |
| 2021 | Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. | Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan |
| 2021 | Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. | Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy |
| 2021 | Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge. | Claudia d'Amato, Nicola Flavio Quatraro, Nicola Fanizzi |
| 2021 | Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning. | Cristina Cornelio, Veronika Thost |
| 2021 | Answer-Set Programs for Reasoning About Counterfactual Interventions and Responsibility Scores for Classification. | Leopoldo E. Bertossi, Gabriela Reyes |
| 2021 | Automatic Conjecturing of P-Recursions Using Lifted Inference. | Jchym Barvnek, Timothy van Bremen, Yuyi Wang, Filip Zelezn, Ondrej Kuzelka |
| 2021 | Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation. | Didac Barroso-Bergada, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton, Corinne Vacher, Nika Galic, David A. Bohan |
| 2021 | Feature Learning by Least Generalization. | Hien D. Nguyen, Chiaki Sakama |
| 2021 | Programmatic Policy Extraction by Iterative Local Search. | Rasmus Larsen, Mikkel Nrgaard Schmidt |
| 2021 | Online Learning of Logic Based Neural Network Structures. | Victor Guimares, Vtor Santos Costa |
| 2019 | Learning Probabilistic Logic Programs over Continuous Data. | Stefanie Speichert, Vaishak Belle |
| 2019 | Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. | Tatiana Sciammarella, Gerson Zaverucha |
| 2019 | LazyBum: Decision Tree Learning Using Lazy Propositionalization. | Jonas Schouterden, Jesse Davis, Hendrik Blockeel |
| 2019 | Learning Logic Programs from Noisy State Transition Data. | Yin Jun Phua, Katsumi Inoue |
| 2019 | Neural Networks for Relational Data. | Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan |
| 2019 | Rapid Restart Hill Climbing for Learning Description Logic Concepts. | Yingbing Hua, Bjrn Hein |
| 2019 | On the Relation Between Loss Functions and T-Norms. | Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori |
| 2019 | Towards an ILP Application in Machine Ethics. | Abeer Dyoub, Stefania Costantini, Francesca A. Lisi |