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ORCID32nd ILP 2023: Bari, Italy
- Elena Bellodi
, Francesca Alessandra Lisi, Riccardo Zese:
Inductive Logic Programming - 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings. Lecture Notes in Computer Science 14363, Springer 2023, ISBN 978-3-031-49298-3 - Damiano Azzolini:
A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs. 1-15 - Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi:
Regularization in Probabilistic Inductive Logic Programming. 16-29 - Antonio Ielo, Mark Law, Valeria Fionda, Francesco Ricca, Giuseppe De Giacomo, Alessandra Russo:
Towards ILP-Based LTL f Passive Learning. 30-45 - Takeru Isobe, Katsumi Inoue:
Learning Strategies of Inductive Logic Programming Using Reinforcement Learning. 46-61 - Thais Luca, Aline Paes, Gerson Zaverucha:
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. 62-76 - Sota Moriyama, Koji Watanabe, Katsumi Inoue:
GNN Based Extraction of Minimal Unsatisfiable Subsets. 77-92 - Kilian Rückschloß, Felix Weitkämper:
What Do Counterfactuals Say About the World? Reconstructing Probabilistic Logic Programs from Answers to "What If?" Queries. 93-108 - Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad:
Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming. 109-123 - Arne Vermeulen, Robin Manhaeve, Giuseppe Marra:
An Experimental Overview of Neural-Symbolic Systems. 124-138 - Felix Weitkämper, Dmitriy Ravdin, Ramona Fabry:
Statistical Relational Structure Learning with Scaled Weight Parameters. 139-153 - Youssef Mahmoud Youssef, Martin E. Müller:
A Review of Inductive Logic Programming Applications for Robotic Systems. 154-165 - Daniel Cyrus, James Trewern, Alireza Tamaddoni-Nezhad:
Meta-interpretive Learning from Fractal Images. 166-174
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