Feature analysis for drowsiness detection based on facial skin temperature using variational autoencoder: a preliminary study
Technology to detect signs of drowsiness in drivers is essential even in the age of
automated driving to prevent traffic accidents. In this study, facial skin temperature, which …
automated driving to prevent traffic accidents. In this study, facial skin temperature, which …
Deep Learning based Novel Anomaly Detection Methods for Diabetic Retinopathy Screening
S Sutradhar - 2023 - ruc.udc.es
Computer-Aided Screening (CAS) systems are getting popularity in disease diagnosis.
Modern CAS systems exploit data driven machine learning algorithms including supervised …
Modern CAS systems exploit data driven machine learning algorithms including supervised …
Anomaly Detection with SDAE
B Smith, K Cant, G Wang - arXiv preprint arXiv:2004.04391, 2020 - arxiv.org
Anomaly detection is a prominent data preprocessing step in learning applications for
correction and/or removal of faulty data. Automating this data type with the use of …
correction and/or removal of faulty data. Automating this data type with the use of …