14:30-14:45 | Santiago Quintana-Amate, Delaney Stevens, Varniethan Ketheeswaran, Patrick Capaldo, Dylan Sheldon and Mark Hall | Explain to Gain: Introspective reinforcement learning for enhanced performance |
14:45-15:00 | Matteo Ceschin, Leonardo Arrighi, Luca Longo and Sylvio Barbon Junior | Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest |
15:00-15:15 | Jacopo Joy Colombini, Filippo Bonchi, Francesco Giannini, Fosca Giannotti, Roberto Pellungrini and Patrizio Frosini | Mathematical Foundation of Interpretable Equivariant Surrogate Models |
15:15-15:30 | Rodrigo Castellano Ontiveros, Ehsan Bonabi Mobaraki, Francesco Giannini, Pietro Barbiero, Marco Gori and Michelangelo Diligenti | Interpretable Link Prediction via Neural-Symbolic Reasoning |
15:30:15:45 | Takafumi Nakanishi | CausalAIME: Leveraging Peter-Clark Algorithms and Inverse Modeling for Unified Global Feature Explanation in Healthcare |
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