| Class-Discriminative Attention Maps for Vision Transformers | Dec 4, 2023 | Computed Tomography (CT)Feature Importance | —Unverified | 0 | 0 |
| Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods | Jun 27, 2023 | Decision MakingExplainable artificial intelligence | —Unverified | 0 | 0 |
| Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos | Dec 2, 2024 | Explainable artificial intelligenceFeature Importance | —Unverified | 0 | 0 |
| Cluster-based Feature Importance Learning for Electronic Health Record Time-series | Sep 29, 2021 | Feature ImportanceRespiratory Failure | —Unverified | 0 | 0 |
| Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes | May 6, 2024 | ClusteringFeature Importance | —Unverified | 0 | 0 |
| Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models | Aug 14, 2024 | Feature Importance | —Unverified | 0 | 0 |
| COMIX: Compositional Explanations using Prototypes | Jan 10, 2025 | Decision MakingFeature Importance | —Unverified | 0 | 0 |
| Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement | Nov 16, 2022 | Feature Importance | —Unverified | 0 | 0 |
| Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction | Nov 18, 2022 | Dimensionality ReductionFeature Importance | —Unverified | 0 | 0 |
| Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification | Sep 15, 2021 | Feature EngineeringFeature Importance | —Unverified | 0 | 0 |
