Produktnummer:
1866bb8cd062ed43058e8fdf96c4422d3c
| Themengebiete: | argumentative-based approaches for explanations artificial intelligence causal inference & explanations convolutional Neural Networks decomposition of neural network-based models for XAI explainability interpretable machine learning natural language processing for explanations neural networks reinforcement learning for enhancing XAI |
|---|---|
| Veröffentlichungsdatum: | 09.07.2024 |
| EAN: | 9783031637971 |
| Sprache: | Englisch |
| Seitenzahl: | 514 |
| Produktart: | Unbekannt |
| Herausgeber: | Lapuschkin, Sebastian Longo, Luca Seifert, Christin |
| Verlag: | Springer International Publishing |
| Untertitel: | Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II |
Produktinformationen "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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