Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
Fuente:
arXiv
Saved in:
| Main Authors: | Bommer, Philine, Kretschmer, Marlene, Hedström, Anna, Bareeva, Dilyara, Höhne, Marina M. -C. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
by: Wickstrøm, Kristoffer, et al.
Published: (2024)
by: Wickstrøm, Kristoffer, et al.
Published: (2024)
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
by: Bommer, Philine L., et al.
Published: (2025)
by: Bommer, Philine L., et al.
Published: (2025)
CoSy: Evaluating Textual Explanations of Neurons
by: Kopf, Laura, et al.
Published: (2024)
by: Kopf, Laura, et al.
Published: (2024)
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
by: Kopf, Laura, et al.
Published: (2025)
by: Kopf, Laura, et al.
Published: (2025)
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond
by: Bareeva, Dilyara, et al.
Published: (2024)
by: Bareeva, Dilyara, et al.
Published: (2024)
A Fresh Look at Sanity Checks for Saliency Maps
by: Hedström, Anna, et al.
Published: (2024)
by: Hedström, Anna, et al.
Published: (2024)
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
by: Hedström, Anna, et al.
Published: (2024)
by: Hedström, Anna, et al.
Published: (2024)
Manipulating Feature Visualizations with Gradient Slingshots
by: Bareeva, Dilyara, et al.
Published: (2024)
by: Bareeva, Dilyara, et al.
Published: (2024)
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers
by: Vielhaben, Johanna, et al.
Published: (2024)
by: Vielhaben, Johanna, et al.
Published: (2024)
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
by: Bareeva, Dilyara, et al.
Published: (2024)
by: Bareeva, Dilyara, et al.
Published: (2024)
Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
by: Mikriukov, Georgii, et al.
Published: (2026)
by: Mikriukov, Georgii, et al.
Published: (2026)
Explainable AI: XAI-Guided Context-Aware Data Augmentation
by: Mersha, Melkamu Abay, et al.
Published: (2025)
by: Mersha, Melkamu Abay, et al.
Published: (2025)
Prototypical Self-Explainable Models Without Re-training
by: Gautam, Srishti, et al.
Published: (2023)
by: Gautam, Srishti, et al.
Published: (2023)
Exploring SAIG Methods for an Objective Evaluation of XAI
by: Miró-Nicolau, Miquel, et al.
Published: (2026)
by: Miró-Nicolau, Miquel, et al.
Published: (2026)
XAI-Units: Benchmarking Explainability Methods with Unit Tests
by: Lee, Jun Rui, et al.
Published: (2025)
by: Lee, Jun Rui, et al.
Published: (2025)
Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
by: Sovrano, Francesco, et al.
Published: (2026)
by: Sovrano, Francesco, et al.
Published: (2026)
Benchmarking XAI Explanations with Human-Aligned Evaluations
by: Kazmierczak, Rémi, et al.
Published: (2024)
by: Kazmierczak, Rémi, et al.
Published: (2024)
Seamful XAI: Operationalizing Seamful Design in Explainable AI
by: Ehsan, Upol, et al.
Published: (2022)
by: Ehsan, Upol, et al.
Published: (2022)
Evaluating Explainability in Safety-Critical ATR Systems: Limitations of Post-Hoc Methods and Paths Toward Robust XAI
by: Buhrmester, Vanessa, et al.
Published: (2026)
by: Buhrmester, Vanessa, et al.
Published: (2026)
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda
by: Schneider, Johannes
Published: (2024)
by: Schneider, Johannes
Published: (2024)
Explainable AI: A Combined XAI Framework for Explaining Brain Tumour Detection Models
by: McGonagle, Patrick, et al.
Published: (2026)
by: McGonagle, Patrick, et al.
Published: (2026)
Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
by: Lakkaraju, Kausik, et al.
Published: (2025)
by: Lakkaraju, Kausik, et al.
Published: (2025)
An XAI View on Explainable ASP: Methods, Systems, and Perspectives
by: Eiter, Thomas, et al.
Published: (2026)
by: Eiter, Thomas, et al.
Published: (2026)
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution
by: Eiras-Franco, Carlos, et al.
Published: (2025)
by: Eiras-Franco, Carlos, et al.
Published: (2025)
XAI for All: Can Large Language Models Simplify Explainable AI?
by: Mavrepis, Philip, et al.
Published: (2024)
by: Mavrepis, Philip, et al.
Published: (2024)
Rules or Weights? Comparing User Understanding of Explainable AI Techniques with the Cognitive XAI-Adaptive Model
by: Rawshan, Louth Bin, et al.
Published: (2026)
by: Rawshan, Louth Bin, et al.
Published: (2026)
ProfileXAI: User-Adaptive Explainable AI
by: Corrales, Gilber A., et al.
Published: (2025)
by: Corrales, Gilber A., et al.
Published: (2025)
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
by: Kares, Felix, et al.
Published: (2025)
by: Kares, Felix, et al.
Published: (2025)
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)
by: Paraschou, Eva, et al.
Published: (2025)
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
by: Siddique, Ayesha, et al.
Published: (2025)
by: Siddique, Ayesha, et al.
Published: (2025)
Human-Centered Evaluation of XAI Methods
by: Dawoud, Karam, et al.
Published: (2023)
by: Dawoud, Karam, et al.
Published: (2023)
XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G
by: Basaran, Osman Tugay, et al.
Published: (2025)
by: Basaran, Osman Tugay, et al.
Published: (2025)
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
by: Ehsan, Upol, et al.
Published: (2024)
by: Ehsan, Upol, et al.
Published: (2024)
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
by: Rafferty, Amy, et al.
Published: (2025)
by: Rafferty, Amy, et al.
Published: (2025)
PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection
by: Raquib, Mirza, et al.
Published: (2025)
by: Raquib, Mirza, et al.
Published: (2025)
Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
by: Mia, Maraz, et al.
Published: (2025)
by: Mia, Maraz, et al.
Published: (2025)
Guidelines For The Choice Of The Baseline in XAI Attribution Methods
by: Morasso, Cristian, et al.
Published: (2025)
by: Morasso, Cristian, et al.
Published: (2025)
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0
by: Turgut, Ozlem, et al.
Published: (2024)
by: Turgut, Ozlem, et al.
Published: (2024)
AI Readiness in Healthcare through Storytelling XAI
by: Dubey, Akshat, et al.
Published: (2024)
by: Dubey, Akshat, et al.
Published: (2024)
Agentic Explainability at Scale: Between Corporate Fears and XAI Needs
by: Elsayed, Yomna, et al.
Published: (2026)
by: Elsayed, Yomna, et al.
Published: (2026)
Similar Items
-
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
by: Wickstrøm, Kristoffer, et al.
Published: (2024) -
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
by: Bommer, Philine L., et al.
Published: (2025) -
CoSy: Evaluating Textual Explanations of Neurons
by: Kopf, Laura, et al.
Published: (2024) -
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
by: Kopf, Laura, et al.
Published: (2025) -
Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond
by: Bareeva, Dilyara, et al.
Published: (2024)