Starting | Ending | |
09:00 | 09:15 | Welcome and introductory information |
09:15 | 10:00 | Invited Talk: Prof Ole-Christoffer Granmo The Tsetlin Machine – From Arithmetic to Logic-based AI (slides) |
10:00 | 11:30 | Paper session 1: |
Azqa Nadeem, Sicco Verwer & Shanchieh Jay Yang: Suffix-based Finite Automata for Learning Explainable Attacker Strategies (slides) | ||
Petter Ericson & Anna Jonsson: Grammatical Inference: Strengths and Weaknesses (slides) | ||
Enrique Valero-Leal, Pedro Larrañaga & Concha Bielza: Extending MAP-independence for Bayesian network explainability (slides) | ||
Marco Virgolin, Eric Medvet, Tanja Alderliesten & Peter A.N. Bosman: Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning (slides) | ||
11:30 | 12:30 | Panel 1: Transparent models and explaining uncertainty |
12:30 | 14:00 | Lunch |
14:00 | 14:45 | Invited Talk: Dr. Anil Yaman On the Emergence of Collective Intelligence (slides) |
14:45 | 15:45 | Paper session 2: |
Leila Methnani, Andreas Antoniades & Andreas Theodorou: The AWKWARD Real-Time Adjustment of Reactive Planning (slides) | ||
Krist Shingjergji, Deniz Iren, Felix Böttger, Corrie Urlings & Roland Klemke: Interpretable Explainability for Face Expression Recognition | ||
Ronald Siebes, Victor de Boer, Roberto Reda & Roderick van der Weerdt: Learning and Reasoning over Smart Home Knowledge Graphs (slides) | ||
15:45 | 16:45 | Unconference/excursion (the weather permitted!) |
16:45 | 17:45 | Panel 2: Transparency and efficiency in practice |
18:30 | Later | Workshop self-organised and self-paid dinner at HET AMSTERDAMSE PROEFLOKAAL (google maps link – take Tram line 24) |