Titlebook: Introduction to Artificial Intelligence; Michail E. Klontzas,Salvatore Claudio Fanni,Emanue Book 2023 EuSoMII 2023 Deep Learning.Machine L

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What Is Artificial Intelligence: History and Basic Definitions,owever, the origins of artificial intelligence date back in the 1950s and developments in algorithms and applications have been slowly recorded since then. The aim of this chapter is to present a short history of the main milestones in the field of artificial intelligence while introducing the reade

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Machine Learning Methods for Radiomics Analysis: Algorithms Made Easy,ting signal intensities or a variety of pixel inter-relationship metrics. The radiomics analysis pipeline consists of a series of steps that include segmentation, exploratory data analysis, feature selection, and predictive model construction. All these steps can be performed with the use of machine

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Natural Language Processing,and spoken natural human languages into structured mineable data. Through the combination of linguistic, statistical and AI methods NLP can be used either to determine the meaning of a text or even to produce a human-like response. NLP is already part of our everyday life as it is widely implemented

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Deep Learning Fundamentals,ntial breakthroughs in data analysis, particularly in the context of medical imaging. These advancements have given rise to new study topics in the field of precision medicine, accompanied by novel applications in medical imaging that have never been seen before..The popularity of deep learning (DL)

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Current Applications of AI in Medical Imaging,cs-based techniques privilege explainability, deep learning builds powerful neural networks limited by poorly interpretable decision processes. Both methods have been tested for key discrimination tasks, such as disease detection, pathology/organ segmentation, and patients classification. At present

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Stillbirth Grief, Eco-grief and Corona Grief: Reflections on Denialism investigates ways to counter these disenfranchising discourses by examining how PAIL groups resist this denialism and dehumanization. The chapter scrutinizes discourses of lamentation, embodiment, sentimentalism, and memorialization—to then probe their viability in a post-COVID world.

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