| 2020 | Inductive Logic Programming - 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings Dimitar Kazakov, Can Erten |
| 2019 | A New Algorithm for Computing Least Generalization of a Set of Atoms. Hien D. Nguyen, Chiaki Sakama |
| 2019 | CONNER: A Concurrent ILP Learner in Description Logic. Eyad Algahtani, Dimitar Kazakov |
| 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 | Learning Probabilistic Logic Programs over Continuous Data. Stefanie Speichert, Vaishak Belle |
| 2019 | Neural Networks for Relational Data. Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan |
| 2019 | On the Relation Between Loss Functions and T-Norms. Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori |
| 2019 | Rapid Restart Hill Climbing for Learning Description Logic Concepts. Yingbing Hua, Björn Hein |
| 2019 | Towards Meta-interpretive Learning of Programming Language Semantics. Sándor Bartha, James Cheney |
| 2019 | Towards an ILP Application in Machine Ethics. Abeer Dyoub, Stefania Costantini, Francesca A. Lisi |
| 2019 | Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. Tatiana Sciammarella, Gerson Zaverucha |