5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
Abdelhak Lemkhenter, Manchen Wang, Luca Zancato +3
In this paper we introduce SemiGPC, a distribution-aware label refinement strategy based on Gaussian Processes where the predictions of the model are derived from the labels poster…
cs.LG2022★ 5 cited
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning
Abdelhak Lemkhenter, Paolo Favaro
In this work we introduce a novel meta-learning method for sleep scoring based on self-supervised learning. Our approach aims at building models for sleep scoring that can generali…