Explainable AI – alle Bücher

Matthew Wicker, Francesco Leofante
Robust Explainable AI

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

lieferbar innerhalb 2-3 Wochen

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Zhixin Pan, Prabhat Mishra
Explainable AI for Cybersecurity

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI c…

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Antonio Di Cecco, Leonida Gianfagna
Explainable AI with Python

This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, ca…

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Despina Karagkioulmezi
Analyse von Kundenrezensionen in der Telekommunikationsbranche

BestMasters

Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.Hierbei wird al…

lieferbar ab 30.12.2025.

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Explainable AI for Education: Recent Trends and Challenges

¿Explainable AI for Education: Recent Trends and Challenges¿ is a comprehensive exploration of the intersection between artificial intelligence (AI) and education. In this book, we delve into the critical…

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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how dist…

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Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems

Lecture Notes in Artificial Intelligence, Lecture Notes in Computer Science - Band 15936

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2025, held in Detroit, MI, USA, during…

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Marcus J. Neuer
Machine Learning for Engineers

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex.This textbook e…

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Explainable Artificial Intelligence in the Healthcare Industry

Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-…

lieferbar in mind. 4 Wochen

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Explainable and Responsible Artificial Intelligence in Healthcare

This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outc…

lieferbar in mind. 4 Wochen

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Andrea Lübken, Matthias Wiemer
KI-Technik verständlich gestalten

essentials

Wie funktioniert Künstliche Intelligenz - und warum ist technisches Wissen entscheidend für Teilhabe? Dieses Essential vermittelt verständlich, wie KI-Systeme lernen, entscheiden und wirken und zeigt, war…

lieferbar ab 29.12.2025.

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Designing the Conceptual Landscape for a XAIR Validation Infrastructure

This book focuses on explainable-AI-ready (XAIR) data and models, offering a comprehensive perspective on the foundations needed for transparency, interpretability, and trust in AI systems. It introduces …

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Deep Learning in Drug Design

Deep Learning in Drug Design: Methods and Applications summarizes the most recent methods, and technological advances of deep learning for drug design, which mainly consists of molecular representations, …

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Artificial Intelligence for STEM Education Research

This open access volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a …

lieferbar ab 17.1.2026.

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Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October…

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Computational Intelligence in Engineering Science

.- Machine Learning..- Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models..- Breast cancer classification based on fuzzy rules and deep l…

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Tuan D. Pham, Simon Holmes, Domniki Chatzopoulou, Paul Coulthard
Artificial Intelligence in Facial Trauma, Oral Diseases, and Systemic Health

This book explores the role of artificial intelligence in healthcare, focusing on cranio-maxillofacial trauma, oral health, and systemic disease. Part I establishes the foundations with core traditional m…

lieferbar ab 2.1.2026.

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Data Science in Finance and Accounting

Studies in Big Data - Band 181

This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics---including explainable AI, financial distress predicti…

lieferbar ab 28.12.2025.

Buch

Iqbal H. Sarker
AI-Driven Cybersecurity and Threat Intelligence

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only o…

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