Search Results for author: Abdelhak Lemkhenter

Found 3 papers, 1 papers with code

Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning

no code implementations27 Jul 2022 Abdelhak Lemkhenter, Paolo Favaro

In this work we introduce a novel meta-learning method for sleep scoring based on self-supervised learning.

Meta-Learning Self-Supervised Learning

Generative Adversarial Learning via Kernel Density Discrimination

no code implementations13 Jul 2021 Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari, Paolo Favaro

We show a boost in the quality of generated samples with respect to FID from 10% to 40% compared to the baseline.

Contrastive Learning

Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling

1 code implementation16 Sep 2020 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.

General Classification Self-Supervised Learning

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