Explainable Artificial Intelligence
Explainable Artificial Intelligence
Buch
- Second World Conference, xAI 2024, Valletta, Malta, July 17¿19, 2024, Proceedings, Part IV
- Herausgeber: Luca Longo, Christin Seifert, Sebastian Lapuschkin
- Springer Nature Switzerland, 07/2024
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031638022
- Bestellnummer: 11917104
- Umfang: 484 Seiten
- Auflage: 2024
- Gewicht: 727 g
- Maße: 235 x 155 mm
- Stärke: 27 mm
- Erscheinungstermin: 10.7.2024
- Serie: Communications in Computer and Information Science - Band 2156
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Explainable Artificial Intelligence
- EUR 93,08* Explainable Artificial Intelligence Buch, Kartoniert / Broschiert, Paperback, Englisch
- EUR 87,60* Explainable Artificial Intelligence Buch, Kartoniert / Broschiert, Paperback, Englisch
- EUR 87,60* Explainable Artificial Intelligence Buch, Kartoniert / Broschiert, Paperback, Englisch
- EUR 142,37* Explainable Artificial Intelligence Buch, Kartoniert / Broschiert, Paperback, Englisch
- EUR 93,08* Explainable Artificial Intelligence Buch, Kartoniert / Broschiert, Paperback, Englisch
- EUR 142,37* Explainable Artificial Intelligence Buch, Kartoniert / Broschiert, Paperback, Englisch
Klappentext
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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