The book discusses Explainable XAI and Responsive Artificial Intelligence RAI for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The bo... Lees meer.

This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems EXTRAAMAS 2024 in Auckland New Zealand during May 6 10 2024. The 13 full papers pres... Lees meer.

Transparent Artificial Intelligence AI systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainabl... Lees meer.

The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty i.e. type-2 fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems enabling a w... Lees meer.

The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty i.e. type-2 fuzzy sets and systems. The third edition of this textbook presents a further updated approach to fuzzy sets and systems that ca... Lees meer.

Artificial Intelligence AI and Machine Learning ML are set to revolutionize all industries and the Intelligent Transportation Systems ITS field is no exception. While ML especially deep learning models achieve great performance in terms of accuracy the outcome... Lees meer.

This book constitutes revised selected papers from the AIME 2019 workshops KR4HC ProHealth 2019 the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care and TEAAM 2019 the Workshop on Transparent Explainable an... Lees meer.

This 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 making machine learning-based AI ex... Lees meer.

The text covers applications algorithms and tools of distributed information processing in the healthcare sector. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering electronics and communica... Lees meer.

This book constitutes the proceedings of the Second International Workshop on Explainable Transparent Autonomous Agents and Multi-Agent Systems EXTRAAMAS 2020 which was due to be held in Auckland New Zealand in May 2020. This book constitutes the proceedings of... Lees meer.

Dive deep into the evolving landscape of AI with Towards Ethical and Socially Responsible Explainable AI . This transformative book explores the profound impact of AI on society emphasizing transparency accountability and fairness in decision-making processes. It o... Lees meer.

This 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 making machine learning-based AI ex... Lees meer.

This book constitutes revised selected papers from the AIME 2019 workshops KR4HC ProHealth 2019 the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care and TEAAM 2019 the Workshop on Transparent Explainable an... Lees meer.

This volume LNCS 14127 constitutes the refereed proceedings of the 5th International Workshop EXTRAAMAS 2023 held in London UK in May 2023. The 15 full papers presented together with 1 short paper were carefully reviewed and selected from 26 submissions. The worksho... Lees meer.

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 need for transparency and interpretability in AI systems deploye... Lees meer.