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| Link zu diesem Datensatz | https://d-nb.info/1379076692 | 
| Titel | Explainable Artificial Intelligence : Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part II / edited by Riccardo Guidotti, Ute Schmid, Luca Longo | 
| Person(en) | Guidotti, Riccardo (Herausgeber) Schmid, Ute (Herausgeber) Longo, Luca (Herausgeber) | 
| Organisation(en) | SpringerLink (Online service) (Sonstige) | 
| Ausgabe | 1st ed. 2026 | 
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer | 
| Zeitliche Einordnung | Erscheinungsdatum: 2026 | 
| Umfang/Format | Online-Ressource, XIX, 438 p. 114 illus., 102 illus. in color. : online resource. | 
| Andere Ausgabe(n) | Printed edition:: ISBN: 978-3-032-08323-4 Printed edition:: ISBN: 978-3-032-08325-8 | 
| Inhalt | Rule-based XAI Systems & Actionable Explainable AI -- CFIRE: A General Method for Combining Local Explanations -- Which LIME should I trust? Concepts, Challenges, and Solutions -- Explainable Bayesian Optimization -- Bridging the Interpretability Gap in Process Mining: A Comprehensive Approach Combining Explainable Clustering and Generative AI -- Balancing Fairness and Interpretability in Clustering with FairParTree -- Features Importance-based XAI -- Antithetic Sampling for Top-k Shapley Identification -- Detecting Concept Drift with SHapley Additive exPlanations for Intelligent Model Retraining in Energy Generation Forecasting -- Counterfactual Shapley Values for Explaining Reinforcement Learning -- Improving the Weighting Strategy in KernelSHAP -- POMELO: Black-Box Feature Attribution with Full-Input, In-Distribution Perturbations -- Novel Post-hoc & Ante-hoc XAI Approaches -- Explain to Gain: Introspective Reinforcement Learning for Enhanced Performance -- Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest -- Mathematical Foundation of Interpretable Equivariant Surrogate Models -- Interpretable Link Prediction via Neural-Symbolic Reasoning -- CausalAIME: Leveraging Peter-Clark Algorithms and Inverse Modeling for Unified Global Feature Explanation in Healthcare -- XAI for Scientific Discovery -- Interpreting the Structure of Multi-object Representations in Vision Encoders -- Leveraging Influence Functions for Resampling in PINNs -- Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features -- A Biologically Inspired Filter Significance Assessment Method for Model Explanation | 
| Persistent Identifier | URN: urn:nbn:de:101:1-2510160410229.694840330104 DOI: 10.1007/978-3-032-08324-1 | 
| URL | https://doi.org/10.1007/978-3-032-08324-1 | 
| ISBN/Einband/Preis | 978-3-032-08324-1 | 
| Sprache(n) | Englisch (eng) | 
| Beziehungen | Communications in Computer and Information Science ; 2577 | 
| DDC-Notation | 004.019 (maschinell ermittelte DDC-Kurznotation) | 
| Sachgruppe(n) | 004 Informatik | 
| Online-Zugriff | Archivobjekt öffnen | 
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