default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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 IV. Communications in Computer and Information Science 2579, Springer 2026, ISBN 978-3-032-08329-6
XAI in Computer Vision
- Danilo Danese, Giuseppe Fasano, Angela Lombardi, Eugenio Di Sciascio, Tommaso Di Noia:
Comparing XAI Explanations and Synthetic Data Augmentation Strategies in Neuroimaging AI. 3-26 - Vahidin Hasic, Amar Halilovic, Senka Krivic:
Superpixel Correlation for Explainable Image Classification. 27-44 - Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze:
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. 45-71 - Nikolaos Chaidos, Angeliki Dimitriou, Nikolaos Spanos, Athanasios Voulodimos, Giorgos Stamou:
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-Based Image Classification. 72-84
Counterfactuals in XAI
- Maria Lymperaiou, Giorgos Filandrianos, Angeliki Dimitriou, Athanasios Voulodimos, Giorgos Stamou:
HalCECE: A Framework for Explainable Hallucination Detection Through Conceptual Counterfactuals in Image Captioning. 87-111 - Trung Duc Ha, Sidney Bender:
Diffusion Counterfactuals for Image Regressors. 112-134 - Milan Bhan, Jean-Noël Vittaut, Nina Achache, Victor Legrand, Annabelle Blangero, Nicolas Chesneau, Juliette Murris, Marie-Jeanne Lesot:
Mitigating Text Toxicity with Counterfactual Generation. 135-157 - Van Bach Nguyen, Christin Seifert, Jörg Schlötterer:
Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification. 158-176 - Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Exploring Ensemble Strategies for Graph Counterfactual Explanations. 177-201
Explainable Sequential Decision Making
- Brigida Teixeira, Tiago Pinto, Zita Vale:
Leveraging XAI Techniques for Context-Aware Energy Consumption Forecasting. 205-217 - Fatima Rabia Yapicioglu, Meltem Aksoy, Tuwe Löfström, Fabio Vitali, Alberto Rigenti:
ConformaSegment: A Conformal Prediction-Based, Uncertainty-Aware, and Model-Agnostic Explainability Framework for Time-Series Forecasting. 218-242 - Thea Brüsch, Kristoffer Knutsen Wickstrøm, Mikkel N. Schmidt, Robert Jenssen, Tommy Sonne Alstrøm:
FLEXtime: Filterbank Learning to Explain Time Series. 243-267 - Nicolas Martorell:
From Text to Space: Mapping Abstract Spatial Models in LLMs During a Grid-World Navigation Task. 268-291 - Gregor Baer, Isel Grau, Chao Zhang, Pieter Van Gorp:
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions. 292-314
Explainable AI in Finance & Legal Frameworks for XAI Technologies
- Katiuscka van Veen, Faizan Ahmed, Maurice van Keulen:
XAI In Fraud Detection: A Causal Perspective. 317-329 - Linh Nguyen, Marcel Boersma, Erman Acar:
Detecting Fraud in Financial Networks: A Semi-supervised GNN Approach with Granger-Causal Explanations. 330-353 - Merle Fairhurst, Katharina Kaesling, Verena Klös:
Legal Requirements, Trust Issues and Engineering Challenges - A Multi-disciplinary Case for User-Specific Explainability. 354-377 - Golnoosh Babaei, Paolo Giudici, Lunshuai Wu:
Explainable Fairness in Mortgage Lending. 378-398 - Paolo Giudici, Marco Pirra, Rasha Zieni:
Cyber Risk Management with Time Varying Artificial Intelligence Models. 399-418
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-18 22:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
