5 citations · 6 across the 5 of their papers we have counts for
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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…
cs.LG2021
Generative Adversarial Learning via Kernel Density Discrimination
Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari +1
We introduce Kernel Density Discrimination GAN (KDD GAN), a novel method for generative adversarial learning. KDD GAN formulates the training as a likelihood ratio optimization pro…
cs.LG2020
Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling
Abdelhak Lemkhenter, Paolo Favaro
Various hand-crafted features representations of bio-signals rely primarily on the amplitude or power of the signal in specific frequency bands. The phase component is often discar…