3 papers
cs.LG2025
Angular Regularization for Positive-Unlabeled Learning on the Hypersphere
Vasileios Sevetlidis, George Pavlidis, Antonios Gasteratos
Positive-Unlabeled (PU) learning addresses classification problems where only a subset of positive examples is labeled and the remaining data is unlabeled, making explicit negative…
cs.LG2023
Defect detection using weakly supervised learning
Vasileios Sevetlidis, George Pavlidis, Vasiliki Balaska +3
In many real-world scenarios, obtaining large amounts of labeled data can be a daunting task. Weakly supervised learning techniques have gained significant attention in recent year…
cs.LG2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
Vasileios Sevetlidis, George Pavlidis, Spyridon Mouroutsos +1
This study proposes a novel approach for solving the PU learning problem based on an anomaly-detection strategy. Latent encodings extracted from positive-labeled data are linearly…