Explainable Artificial Intelligence Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III /
This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers a...
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edición: | 1st ed. 2024. |
| Colección: | Communications in Computer and Information Science,
2155 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-031-63800-8 |
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Tabla de Contenidos:
- -- Counterfactual explanations and causality for eXplainable AI.
- Sub-SpaCE: Subsequence-based Sparse Counterfactual Explanations for Time Series Classification Problems.
- Human-in-the-loop Personalized Counterfactual Recourse.
- COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images.
- Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence.
- CountARFactuals
- Generating plausible model-agnostic counterfactual explanations with adversarial random forests.
- Causality-Aware Local Interpretable Model-Agnostic Explanations.
- Evaluating the Faithfulness of Causality in Saliency-based Explanations of Deep Learning Models for Temporal Colour Constancy.
- CAGE: Causality-Aware Shapley Value for Global Explanations.
- Fairness, trust, privacy, security, accountability and actionability in eXplainable AI.
- Exploring the Reliability of SHAP Values in Reinforcement Learning.
- Categorical Foundation of Explainable AI: A Unifying Theory.
- Investigating Calibrated Classification Scores through the Lens of Interpretability.
- XentricAI: A Gesture Sensing Calibration Approach through Explainable and User-Centric AI.
- Toward Understanding the Disagreement Problem in Neural Network Feature Attribution.
- ConformaSight: Conformal Prediction-Based Global and Model-Agnostic Explainability Framework.
- Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability.
- Blockchain for Ethical & Transparent Generative AI Utilization by Banking & Finance Lawyers.
- Multi-modal Machine learning model for Interpretable Mobile Malware Classification.
- Explainable Fraud Detection with Deep Symbolic Classification.
- Better Luck Next Time: About Robust Recourse in Binary Allocation Problems.
- Towards Non-Adversarial Algorithmic Recourse.
- Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring.
- XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users.