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ILP/AAIP Sessions (All times are BST)
Location: Flitcroft


Wednesday 28th, 14:50 – 17:00 BST



14:50 – 15:50: ILP/AAIP Session 1 (Statistical Relational Learning)
Location: Flitcroft
Chair: Stephen Muggleton


14:50 – 15:20
Conference Track Damiano Azzolini, Elena Bellodi and Fabrizio Riguzzi
Learning the Parameters of Probabilistic Answer Set Programs.
15:20 – 15:50
Conference Track Felix Weitkämper
Functional lifted Bayesian networks: Statistical relational learning and reasoning with relative frequencies.
16:00 – 17:00: ILP/AAIP Session 2 (Knowledge and Transfer Learning)
Location: Flitcroft
Chair: Alireza Tamaddoni-Nezhad


16:00 – 16:30
Conference Track Tomáš Kliegr
RDFRules: Making RDF Rule Mining Easier and Even More Efficient.
16:30 – 17:00
Conference Track Thais Luca, Aline Paes and Gerson Zaverucha
Combining word embeddings-based similarity measures for transfer learning across relational domains.


Thursday 29th, 09:50 – 12:00 BST



09:50 – 10:50: ILP/AAIP Session 3 (Scientific Reasoning)
Location: Flitcroft
Chair: Ute Schmid


09:50 – 10:20
Conference Track Dany Varghese, Didac Barroso-Bergada, David A. Bohan and Alireza Tamaddoni-Nezhad
Efficient Abductive Learning of Microbial Interactions using Meta Inverse Entailment.
10:20 – 10:50
Conference Track Bettina Finzel, Simon Kuhn, David Tafler and Ute Schmid
Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.
11:00 – 12:00: ILP/AAIP Session 4 (Learning Temporal Models)
Location: Flitcroft
Chair: Richard Evans


11:00 – 11:30
Conference Track Tony Ribeiro, Maxime Folschette, Morgan Magnin, Kotaro Okazaki, Lo Kuo-Yen and Katsumi Inoue
Diagnosis of Event Sequences with LFIT.
11:30 - 12:00
Conference Track Nikos Katzouris and Georgios Paliouras
Learning Automata-Based Complex Event Patterns in Answer Set Programming.


Thursday 29th, 14:20 – 17:00 BST



14:20 – 15:50: ILP/AAIP Session 5 (Synthesis and Planning)
Location: Flitcroft
Chair: Stephen Muggleton


14:20 – 14:50
AAIP Invited Talk Donato Malerba
Explainable Artificial Intelligence for Cybersecurity.
14:50 – 15:20
Conference Track Pat Langley
Learning Hierarchical Problem Networks for Knowledge-Based Planning.
15:20 – 15:50
Conference Track Aditya Challa, Ashwin Srinivasan, Michael Bain and Gautam Shroff
A ProgramSynthesis Challenge for ILP Based on ARC-like Problems.
16:00 – 17:00: ILP/AAIP Session 6 (Argumentation and Language)
Location: Flitcroft
Chair: Noah Goodman


16:00 – 16:30
Conference Track Maurizio Proietti and Francesca Toni
Learning Assumption-based Argumentation Frameworks.
16:30 – 17:00
Conference Track Verena Blaschke, Thora Daneyko, Jekaterina Kaparina, Zhuge Gao and Johannes Dellert
Navigable atom-rule interactions in PSL models enhanced by rule verbalizations with an application to etymological inference.


Friday 30th, 11:30 – 12:00 BST



11:30 – 12:00: ILP Late-Breaking
Location: Flitcroft
Chair: Stephen Muggleton


11:30 - 11:40
Late-Breaking Peter Jung and Ondřej Kuželka
Graph Generation with Graph on Generative Adversarial Networks.
11:40 - 11:50
Late-Breaking Martin Svatoš, Peter Jung, Filip Zelezny, Giuseppe Marra and Ondřej Kuželka
Learning to Generate Molecules From Small Datasets Using Neural Markov Logic Networks.
11:50 - 12:00
Late-Breaking Sebastian Mežnar, Matej Bevec, Nada Lavrač and Blaž Škrlj
A study in Ontology Completion with Graph-based Machine Learning.