Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification

no code implementations • 19 May 2022 • Mohammad Joshaghani, Amirabbas Davari, Faezeh Nejati Hatamian, Andreas Maier, Christian Riess

In this work, we use for HSRS image classification a special class of deep neural networks, namely a Bayesian neural network (BNN).

Classification Image Classification +1

The Effect of Various Strengths of Noises and Data Augmentations on Classification of Short Single-Lead ECG Signals Using Deep Neural Networks

no code implementations • 14 Aug 2020 • Faezeh Nejati Hatamian, Amirabbas Davari, Andreas Maier

Due to the multiple imperfections during the signal acquisition, Electrocardiogram (ECG) datasets are typically contaminated with numerous types of noise, like salt and pepper and baseline drift.

Denoising

The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks

no code implementations • 7 Feb 2020 • Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier

In this study, we investigate the impact of various data augmentation algorithms, e. g., oversampling, Gaussian Mixture Models (GMMs) and Generative Adversarial Networks (GANs), on solving the class imbalance problem.

Classification Data Augmentation +2