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Online Ressourcen
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

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