Uwe Serdült

A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams

2021 · Sensors

The recent explosive growth in the number of smart technologies relying on data collected from sensors and processed with machine learning classifiers made the training data imbalance problem more visible than ever before. Class-imbalanced sets …

A deep learning approach to predict individual internet voting use based on electoral register data

2022

The Swiss cantons are in charge of implementing all matters regarding referendum votes and elections, including the option to offer internet voting to their citizens residing in Switzerland or abroad. Geneva as one of the …