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

v1v2 (latest)

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

20 June 2018

Gari D. Clifford

ArXiv (abs)PDF HTML

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

8 / 8 papers shown

Title
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 135 1,071 0 12 Nov 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG A. Supratak Hao Dong Chao Wu Yike Guo 82 958 0 12 Mar 2017
Mixed Neural Network Approach for Temporal Sleep Stage Classification Hao Dong A. Supratak W. Pan Chao Wu Paul M. Matthews Yike Guo 42 245 0 15 Oct 2016
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks Orestis Tsinalis Paul M. Matthews Yike Guo Stefanos Zafeiriou 55 298 0 05 Oct 2016
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 258 10,409 0 06 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,295 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,882 0 12 Nov 2013
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 373 25,646 0 09 Jun 2011

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.