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Addressing Class Imbalance in Classification Problems of Noisy Signals
  by using Fourier Transform Surrogates

Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates

20 June 2018
J. Schwabedal
John C. Snyder
Ayse S. Cakmak
S. Nemati
Gari D. Clifford
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Papers citing "Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates"

2 / 2 papers shown
Title
Data augmentation for learning predictive models on EEG: a systematic
  comparison
Data augmentation for learning predictive models on EEG: a systematic comparison
Cédric Rommel
Joseph Paillard
Thomas Moreau
Alexandre Gramfort
66
54
0
29 Jun 2022
Deep invariant networks with differentiable augmentation layers
Deep invariant networks with differentiable augmentation layers
Cédric Rommel
Thomas Moreau
Alexandre Gramfort
OOD
32
8
0
04 Feb 2022
1