| Improving the repeatability of deep learning models with Monte Carlo dropout | Feb 15, 2022 | AttributeBinary Classification | CodeCode Available | 0 |
| Conformal Risk Control for Ordinal Classification | May 1, 2024 | ClassificationConformal Prediction | CodeCode Available | 0 |
| Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating | Feb 10, 2022 | Ordinal Classification | CodeCode Available | 0 |
| Performance Metrics for Probabilistic Ordinal Classifiers | Sep 15, 2023 | DiagnosticOrdinal Classification | CodeCode Available | 0 |
| Cumulative link models for deep ordinal classification | May 27, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Enhancing Depression Detection via Question-wise Modality Fusion | Mar 26, 2025 | Depression DetectionOrdinal Classification | CodeCode Available | 0 |
| Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning | Mar 1, 2023 | Ordinal Classification | CodeCode Available | 0 |
| Quasi-Unimodal Distributions for Ordinal Classification | Mar 18, 2022 | ClassificationOrdinal Classification | CodeCode Available | 0 |
| An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results | Jun 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| A generalized framework to predict continuous scores from medical ordinal labels | May 30, 2023 | Multi-class ClassificationOrdinal Classification | CodeCode Available | 0 |
