| Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales | Feb 17, 2023 | Feature ImportanceImage Super-Resolution | —Unverified | 0 |
| DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences | Jan 1, 2025 | Feature Importance | —Unverified | 0 |
| Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models | Aug 14, 2024 | Feature Importance | —Unverified | 0 |
| Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning | Mar 4, 2022 | Abuse DetectionAnomaly Detection | —Unverified | 0 |
| Continual Deterioration Prediction for Hospitalized COVID-19 Patients | Jan 19, 2021 | Feature ImportancePrediction | —Unverified | 0 |
| Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients | Jan 11, 2021 | ClusteringContrastive Learning | —Unverified | 0 |
| Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified | Jan 20, 2020 | Deep LearningFeature Importance | —Unverified | 0 |
| Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes | May 6, 2024 | ClusteringFeature Importance | —Unverified | 0 |
| Regularizing Explanations in Bayesian Convolutional Neural Networks | Apr 29, 2021 | Bayesian InferenceClassification | —Unverified | 0 |
| A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction | Aug 9, 2024 | Feature ImportanceProtein Stability Prediction | —Unverified | 0 |
