Titlebook: Machine Learning for Health Informatics; State-of-the-Art and Andreas Holzinger Book 2016 Springer International Publishing AG 2016 algorit

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frivolous

Survey on Feature Extraction and Applications of Biosignals,aningful features from biosignals can help people understand the human functional state, so that upcoming harmful symptoms or diseases can be alleviated or avoided. There are two main approaches commonly used to derive useful features from biosignals, which are hand-engineering and deep learning. Th

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Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integearn from data. Defeasible argumentation has emerged as sub-topic of artificial intelligence aimed at formalising common-sense qualitative reasoning. The former is an inductive approach for inference while the latter is deductive, each one having advantages and limitations. A great challenge for the

CLASH

inspired

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BARK

A Master Pipeline for Discovery and Validation of Biomarkers, the individual and the population. Much of the difficulty is the poor reproducibility of existing approaches as well as the complexity of the problem. Machine learning tools with rigorous statistical inference properties have great potential to move this area forward. In this chapter, we review exi

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Paleontology

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