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3rd xAI 2025: Istanbul, Turkey
- Riccardo Guidotti

, Ute Schmid
, Luca Longo
:
Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part II. Communications in Computer and Information Science 2577, Springer 2026, ISBN 978-3-032-08323-4
Rule-Based XAI Systems and Actionable Explainable AI
- Sebastian Müller

, Vanessa Toborek
, Tamás Horváth, Christian Bauckhage
:
CFIRE: A General Method for Combining Local Explanations. 3-27 - Patrick Knab, Sascha Marton, Udo Schlegel, Christian Bartelt:

Which LIME Should I Trust? Concepts, Challenges, and Solutions. 28-52 - Tanmay Chakraborty

, Christian Wirth, Christin Seifert
:
Explainable Bayesian Optimization. 53-77 - Jonas Amling

, Emanuel Slany
, Christian Dormagen
, Marco Kretschmann
, Stephan Scheele
:
Bridging the Interpretability Gap in Process Mining: A Comprehensive Approach Combining Explainable Clustering and Generative AI. 78-103 - Cristiano Landi

, Alessio Cascione
, Marta Marchiori Manerba
, Riccardo Guidotti
:
Balancing Fairness and Interpretability in Clustering with FairParTree. 104-127
Features Importance-Based XAI
- Patrick Kolpaczki

, Tim Nielen
, Eyke Hüllermeier
:
Antithetic Sampling for Top-K Shapley Identification. 131-155 - Brigida Teixeira

, Tiago Pinto, Zita Vale:
Detecting Concept Drift with SHapley Additive ExPlanations for Intelligent Model Retraining in Energy Generation Forecasting. 156-168 - Yiwei Shi, Weiru Liu:

Counterfactual Shapley Values for Explaining Reinforcement Learning. 169-193 - Lars Henry Berge Olsen

, Martin Jullum
:
Improving the Weighting Strategy in KernelSHAP. 194-218 - Luan Ademi

, Maximilian Noppel
, Christian Wressnegger:
POMELO: Black-Box Feature Attribution with Full-Input, In-Distribution Perturbations. 219-243
Novel Post-hoc and Ante-hoc XAI Approaches
- Santiago Quintana-Amate, Delaney Stevens, Varniethan Ketheeswaran, Patrick Capaldo, Dylan Sheldon, Mark Hall:

Explain to Gain: Introspective Reinforcement Learning for Enhanced Performance. 247-270 - Matteo Ceschin, Leonardo Arrighi

, Luca Longo
, Sylvio Barbon Junior
:
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest. 271-293 - Jacopo Joy Colombini, Filippo Bonchi, Francesco Giannini, Fosca Giannotti, Roberto Pellungrini, Patrizio Frosini:

Mathematical Foundation of Interpretable Equivariant Surrogate Models. 294-318 - Rodrigo Castellano Ontiveros

, Ehsan Bonabi Mobaraki, Francesco Giannini, Pietro Barbiero, Marco Gori, Michelangelo Diligenti:
Interpretable Link Prediction via Neural-Symbolic Reasoning. 319-331 - Takafumi Nakanishi

:
CausalAIME: Leveraging Peter-Clark Algorithms and Inverse Modeling for Unified Global Feature Explanation in Healthcare. 332-356
XAI for Scientific Discovery
- Tarun Khajuria

, Braian Olmiro Dias, Marharyta Domnich
, Jaan Aru
:
Interpreting the Structure of Multi-object Representations in Vision Encoders. 359-382 - Jonas R. Naujoks, Aleksander Krasowski, Moritz Weckbecker, Galip Ümit Yolcu, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek, René P. Klausen:

Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks. 383-395 - Víctor Toscano-Durán

, Sara Narteni
, Alberto Carlevaro
, Jérôme Guzzi, Rocío González-Díaz, Maurizio Mongelli
:
Safe and Efficient Social Navigation Through Explainable Safety Regions Based on Topological Features. 396-421 - Emirhan Böge

, Yasemin Gunindi
, Murat Bilgehan Ertan
, Erchan Aptoula
, Nihan Alp
, Huseyin Ozkan
:
A Biologically Inspired Filter Significance Assessment Method for Model Explanation. 422-435

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