| 2026 | WACV | Performance of Conformal Prediction in Capturing Aleatoric Uncertainty. | Misgina Tsighe Hagos, Claes Lundstrm |
| 2025 | ICTAI | Least-Ambiguous Multi-Label Classifier. | Misgina Tsighe Hagos, Claes Lundstrm |
| 2023 | CVPR | FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks. | Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran |
| 2023 | DIS | Unlearning Spurious Correlations in Chest X-Ray Classification. | Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee |
| 2023 | ICTAI | Distance-Aware eXplanation Based Learning. | Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee |
| 2023 | SGAI | Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. | Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee |
| 2022 | ECAI | Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. | Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee |
| 2022 | ISMIS | Impact of Feedback Type on Explanatory Interactive Learning. | Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee |