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07/14/2023
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels
Support vector machines (SVMs) are a well-established classifier effecti...
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06/26/2023
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images
The optimization of Kernel-Target Alignment (TA) has been recently propo...
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06/16/2023
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection
Cloud detection is a pivotal satellite image pre-processing step that ca...
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02/16/2023
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines
Support vector machines (SVMs) are a well-established classifier effecti...
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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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10/24/2022
Self-Configuring nnU-Nets Detect Clouds in Satellite Images
Cloud detection is a pivotal satellite image pre-processing step that ca...
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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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09/12/2019