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Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17-19, Proceedings

Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17-19, Proceedings in Chattanooga, TN

Current price: $89.99
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Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17-19, Proceedings

Barnes and Noble

Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17-19, Proceedings in Chattanooga, TN

Current price: $89.99
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Size: Paperback

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024.
The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on:
Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI.
Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI.
Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI.
Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.
This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024.
The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on:
Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI.
Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI.
Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI.
Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.

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