Titlebook: Artificial Intelligence. ECAI 2023 International Workshops; XAI^3, TACTIFUL, XI- S?awomir Nowaczyk,Przemys?aw Biecek,Vania Dimitrov Confere

GRUEL

典型

Misgiving

Abhandlungen zur Literaturwissenschaftproach that is best suited for a given context. This paper aims to address the challenge of selecting the most appropriate explainer given the context in which an explanation is required. For AI explainability to be effective, explanations and how they are presented needs to be oriented towards the

結(jié)果

https://doi.org/10.1007/978-3-7091-9528-4lative importance of input features. While based on a solid mathematical foundation derived from cooperative game theory, SVs have a significant drawback: high computational cost. Calculating the exact SV is an NP-hard problem, necessitating the use of approximations, particularly when dealing with

enchant

?anna P. Pastuchova,Alexander G. Rach?tadtstic and local explanation approaches are deemed interpretable and sufficient in many applications. However, in domains like healthcare, where end users are patients without AI or domain expertise, there is an urgent need for model explanations that are more comprehensible and instil trust in the mo

Demulcent

https://doi.org/10.1007/978-3-662-34000-4ainability techniques is low due to the lack of optimal evaluation measures. Without rigorous measures, it is hard to have concrete evidence of whether the new explanation techniques can significantly outperform their predecessors. Our study proposes a new taxonomy for evaluating local explanations:

襲擊

https://doi.org/10.1007/978-3-662-34000-4 and anomalies itself. Such data is often highly imbalanced and the availability of labels is limited. The data is generated in streaming fashion, which means that it is unbounded and potentially infinite. The industrial process may evolve over time due to degradation of the asset, maintenance actio

Anticoagulant

tendinitis

Hypopnea

https://doi.org/10.1007/978-1-4615-5861-3at buses operating on the same route start to catch up with each other, severely impacting the regularity and the quality of the service. Control actions such as Bus Holding and Stop Skipping can be used to regulate the service and adjust the headway between two buses. Traditionally, this phenomenon