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10/25/2022
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
Interpretation of electrocardiography (ECG) signals is required for diag...
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11/03/2021
Heuristical choice of SVM parameters
Support Vector Machine (SVM) is one of the most popular classification m...
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09/28/2021
Stable training of autoencoders for hyperspectral unmixing
Neural networks, autoencoders in particular, are one of the most promisi...
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08/24/2020
A Dataset for Evaluating Blood Detection in Hyperspectral Images
The sensitivity of imaging spectroscopy to hemoglobin derivatives makes ...
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09/12/2019
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks
Hyperspectral imaging is a rich source of data, allowing for multitude o...
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08/10/2018