Explainable Artificial Intelligence
First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II
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Beschreibung
Chapters “Finding Spurious Correlations with Function-Semantic Contrast Analysis” and “Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Chapters “Finding Spurious Correlations with Function-Semantic Contrast Analysis” and “Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Autor*in
Luca Longo
Themen in »Explainable Artificial Intelligence«
artificial intelligence interpretable machine learning causal inference & explanations argumentative-based approaches for explanations decomposition of neural network-based models for XAI convolutional Neural Networks natural language processing for explanations reinforcement learning for enhancing XAI explainability neural networks