Titlebook: Machine Learning and Knowledge Extraction; 7th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2023

cornucopia

0302-9743 selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security...978-3-031-40836-6978-3-031-40837-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

Myosin

,Sustainability Effects of Robust and Resilient Artificial Intelligence,of the United Nations Sustainable Development Goals. Indirect in this case means that a sustainability effect is reached by taking resilience measures when applying AI in a sustainability-relevant application area, for example precision agriculture or smart health.

Panacea

证明无罪

0302-9743 onference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.  .The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visuali

悬崖

Conference proceedings 2023 CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023.  .The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for

闯入

,Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition,significantly reduces the amortized complexity of computing ASVs when many explanations are needed. Apart from this, once the A-PDD-SHAP model is trained, it can be used to compute both symmetric and asymmetric Shapley values without having to re-train or re-sample, allowing for very efficient comparisons between different types of explanations.

NICHE

誓言

nonchalance

,Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition,cess. Unfortunately, computing ASVs requires sampling permutations, which quickly becomes computationally expensive. We propose A-PDD-SHAP, an algorithm that employs a functional decomposition approach to approximate ASVs at a speed orders of magnitude faster compared to permutation sampling, which

Herd-Immunity

,Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognassification in various domains of application. However, there is still a lack of domain-specific evaluation methods to assess an explanation’s quality and a classifier’s performance with respect to domain-specific requirements. In particular, evaluation methods could benefit from integrating human