Titlebook: Explainable Artificial Intelligence; First World Conferen Luca Longo Conference proceedings 2023 The Editor(s) (if applicable) and The Auth

啤酒

The History of Prenatal Psychologymplished by combining different XAI methods including surrogate models, Shapley values, and counterfactual examples. We show the results of the DRL-based controller in terms of energy consumption and thermal comfort and provide insights and explainability to the underlying control strategy using this XAI layer.

报复

Michel Hersen,Robert T. Ammermanlso of the importance of a missing value in a given record for a particular prediction. Extensive experiments show the effectiveness of the proposed method with respect to some baseline solutions relying on traditional data imputation.

BAIL

没有准备

Explaining Black-Boxes in Federated Learningan aggregation of the explanations provided by the clients participating in the cooperation. We empirically test our proposal on two different tabular datasets, and we observe interesting and encouraging preliminary results.

MIME

Explaining Deep Reinforcement Learning-Based Methods for Control of Building HVAC Systemsmplished by combining different XAI methods including surrogate models, Shapley values, and counterfactual examples. We show the results of the DRL-based controller in terms of energy consumption and thermal comfort and provide insights and explainability to the underlying control strategy using this XAI layer.

进取心

FOIL

Potentiality in Aristotle’s Metaphysicstion density. We conclude our paper by pointing to the two main challenges we encountered during our work: data processing and model design that might be restricted by currently available XAI methods, and the importance of domain knowledge to interpret explanations.

步履蹒跚

本能

无可非议