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ORCID3rd 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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