TimeAuthorsTitle
11:30:11:45Patrick Kolpaczki, Tim Nielen and Eyke HüllermeierAntithetic Sampling for Top-k Shapley Identification
11:45-12:00Brígida Teixeira, Tiago Pinto and Zita ValeDetecting Concept Drift with SHapley Additive exPlanations for Intelligent Model Retraining in Energy Generation Forecasting
12:00-12:15Yiwei Shi and Weiru LiuCounterfactual Shapley Values for Explaining Reinforcement Learning
12:15-12:30Lars Henry Berge Olsen and Martin JullumImproving the Weighting Strategy in KernelSHAP
12:30-12:45Luan Ademi, Maximilian Noppel and Christian WressneggerPOMELO: Black-Box Feature Attribution with Full-Input, In-Distribution Perturbations

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