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Sustainable development in Europe
Evaluating sustainable development is becoming increasingly important in policy making, evaluation practice and the scientific world in general. However, at present, there is neither a generally accepted set of measures and evaluation methods, nor specific standards to be met. Sustainable Development in Europe addresses these issues and presents an important and concise analysis of state-of-the-art sustainable development evaluation policies, programmes and projects currently at work in Europe.
Sustainability Accounting and Reporting
This is the fourth in a series publishing the best contributions on environmental management accounting (EMA) from around the world. This volume brings together international examples of leading thinking and practice in this rapidly developing area. This is the most comprehensive volume to date covering theory, practice and case studies on sustainability accounting and reporting. It covers tools, frameworks, concepts as well as case studies and empirical analysis.
Explainable Artificial Intelligence
This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
Nazis on the Run
This is the story of how Nazi war criminals escaped from justice at the end of the Second World War by fleeing through the Tyrolean Alps to Italian seaports, and the role played by the Red Cross, the Vatican, and the Secret Services of the major powers in smuggling them away from prosecution in Europe to a new life in South America. The Nazi sympathies held by groups and individuals within these organizations evolved into a successful assistance network for fugitive criminals, providing them not only with secret escape routes but hiding places for their loot. Gerald Steinacher skillfully traces the complex escape stories of some of the most prominent Nazi war criminals, including Adolf Eichm...
Explainable and Interpretable Models in Computer Vision and Machine Learning
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning m...
