A Noise-Assisted Data Analysis Method for Automatic EOG-Based Sleep Stage Classification Using Ensemble Learning. - Alexander Neergaard Olesen; Julie A. E. Christensen; Helge B. D. Sørensen; Poul Jennum (EMBC, 2016)

A New Fully Automated Random-Forest Algorithm for Sleep Staging. - Aske B. Klok; Joakim Edin; Matteo Cesari; Alexander Neergaard Olesen; Poul Jennum; Helge B. D. Sørensen (EMBC, 2018)

Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms. - Alexander Neergaard Olesen; Poul Jennum; Paul E. Peppard; Emmanuel Mignot; Helge B. D. Sørensen (EMBC, 2018)

Towards a Flexible Deep Learning Method for Automatic Detection of Clinically Relevant Multi-Modal Events in the Polysomnogram. - Alexander Neergaard Olesen; Stanislas Chambon; Valentin Thorey; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (EMBC, 2019)

Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness. - Andreas Brink-Kjaer; Alexander Neergaard Olesen; Paul E. Peppard; Katie L. Stone; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (CoRR, 2019)

Deep transfer learning for improving single-EEG arousal detection. - Alexander Neergaard Olesen; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (EMBC, 2020)

Automatic sleep stage classification with deep residual networks in a mixed-cohort setting. - Alexander Neergaard Olesen; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (CoRR, 2020)

MSED: a multi-modal sleep event detection model for clinical sleep analysis. - Alexander Neergaard Olesen; Poul Jennum; Emmanuel Mignot; Helge B. D. Sørensen (CoRR, 2021)