Titlebook: Explainable AI Within the Digital Transformation and Cyber Physical Systems; XAI Methods and Appl Moamar Sayed-Mouchaweh Book 2021 The Edit

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結(jié)果

Abominate

Science of Data: A New Ladder for Causation, first, we need to integrate reasoning into the machine. Recently, many researchers in artificial intelligence (AI) have been interested in implementing causality in the machine. Some researchers suggest inferential logic as the best way to implement causality in the machine. Other researchers such

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眼界

Agronomy

Agronomy

Mitigating the Class Overlap Problem in Discriminative Localization: COVID-19 and Pneumonia Case Stade in the development and administration of tests, the time required to obtain a confident response can be prohibitive in areas of dense outbreaks. For these reasons, there has been great interest in adopting machine learning solutions to detect COVID-19 in prospective patients and aid clinicians i

choleretic

A Critical Study on the Importance of Feature Selection for Diagnosing Cyber-Attacks in Water Crition system (IDS). However, the performance and efficiency of IDS can be affected by a number of factors such as the quality of data, high dimensionality of the data, and computational cost. Feature selection techniques can eliminate most of these challenges by eliminating the redundant and non-inform

HARP

藕床生厭倦

n and cyber-physical systems.Provides a textual scientific dThis book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results. The authors discuss the challenges involved in maki