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ORCIDxAI 2024: Valletta, Malta
- Luca Longo
, Sebastian Lapuschkin, Christin Seifert:
Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part I. Communications in Computer and Information Science 2153, Springer 2024, ISBN 978-3-031-63786-5
Intrinsically Interpretable XAI and Concept-Based Global Explainability
- Benjamin Leblanc, Pascal Germain:
Seeking Interpretability and Explainability in Binary Activated Neural Networks. 3-20 - Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert:
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. 21-42 - Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz:
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model. 43-56 - Szymon Oplatek, Dawid Rymarczyk, Bartosz Zielinski:
Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks. 57-68 - Teodor Chiaburu, Frank Haußer, Felix Bießmann:
CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models. 69-91 - Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade:
Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs. 92-116 - Jiayi Li, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, Axel-Cyrille Ngonga Ngomo:
AutoCL: AutoML for Concept Learning. 117-136 - Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute Schmid:
Locally Testing Model Detections for Semantic Global Concepts. 137-159 - Lenka Tetková, Teresa Karen Scheidt, Maria Mandrup Fogh, Ellen Marie Gaunby Jørgensen, Finn Årup Nielsen, Lars Kai Hansen:
Knowledge Graphs for Empirical Concept Retrieval. 160-183 - Jonas Teufel, Pascal Friederich:
Global Concept Explanations for Graphs by Contrastive Learning. 184-208
Generative Explainable AI and Verifiability
- Alessandro Castelnovo, Roberto Depalmas, Fabio Mercorio, Nicolò Mombelli, Daniele Potertì, Antonio Serino, Andrea Seveso, Salvatore Sorrentino, Laura Viola:
Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation. 211-229 - Julian Tritscher, Philip Lissmann, Maximilian Wolf, Anna Krause, Andreas Hotho, Daniel Schlör:
Generative Inpainting for Shapley-Value-Based Anomaly Explanation. 230-243 - Kenza Amara, Rita Sevastjanova, Mennatallah El-Assady:
Challenges and Opportunities in Text Generation Explainability. 244-264 - Jane Arleth dela Cruz, Iris Hendrickx, Martha A. Larson:
NoNE Found: Explaining the Output of Sequence-to-Sequence Models When No Named Entity Is Recognized. 265-284
Notion, Metrics, Evaluation and Benchmarking for XAI
- Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, Christopher Reining, Emmanuel Müller:
Benchmarking Trust: A Metric for Trustworthy Machine Learning. 287-307 - Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein:
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI. 308-331 - Helena Löfström, Tuwe Löfström:
Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty. 332-355 - Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover:
Meta-evaluating Stability Measures: MAX-Sensitivity and AVG-Sensitivity. 356-369 - Eric Arazo, Hristo Stoev, Cristian Bosch, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo:
Xpression: A Unifying Metric to Optimize Compression and Explainability Robustness of AI Models. 370-382 - Oscar Llorente, Rana Fawzy, Jared Keown, Michal Horemuz, Péter Vaderna, Sándor Laki, Roland Kotroczó, Rita Csoma, János Márk Szalai-Gindl:
Evaluating Neighbor Explainability for Graph Neural Networks. 383-402 - Anna Hedström, Leander Weber, Sebastian Lapuschkin, Marina M.-C. Höhne:
A Fresh Look at Sanity Checks for Saliency Maps. 403-420 - Alan Perotti, Claudio Borile, Arianna Miola, Francesco Paolo Nerini, Paolo Baracco, André Panisson:
Explainability, Quantified: Benchmarking XAI Techniques. 421-444 - Samuel Sithakoul, Sara Meftah, Clément Feutry:
BEExAI: Benchmark to Evaluate Explainable AI. 445-468 - Fernando Aguilar-Canto, Omar García-Vázquez, Tania Alcántara, Alberto Espinosa-Juárez, Hiram Calvo:
Associative Interpretability of Hidden Semantics with Contrastiveness Operators in Face Classification Tasks. 469-491
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