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Artificial Intelligence: Foundations, Theory, and Algorithms

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Feature Selection for High-Dimensional Data
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Bridging Constraint Satisfaction and Boolean Satisfiability
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Hybrid Metaheuristics: Powerful Tools for Optimization
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Subjective Logic: A Formalism for Reasoning Under Uncertainty
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Decision Diagrams for Optimization
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Coordination of Complex Sociotechnical Systems: Self-organisation of Knowledge in MoK
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Electronic Institutions: Applications to uHelp, WeCurate and PeerLearn
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Feature Selection for High-Dimensional Data
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Subjective Logic: A Formalism for Reasoning Under Uncertainty
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Coordination of Complex Sociotechnical Systems: Self-organisation of Knowledge in MoK
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Hybrid Metaheuristics: Powerful Tools for Optimization
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Decision Diagrams for Optimization
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Towards a Code of Ethics for Artificial Intelligence
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Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
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Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way
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The Geometry of Uncertainty: The Geometry of Imprecise Probabilities
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The Geometry of Uncertainty: The Geometry of Imprecise Probabilities
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Heterogeneous Graph Representation Learning and Applications
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Machine Learning Safety
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AI Ethics: A Textbook
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Heterogeneous Graph Representation Learning and Applications
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Hypergraph Computation
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Neural Text-to-Speech Synthesis
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
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Rasta: 24