Sebastian Baron - Paris-Lodron-Universität Salzburg

E-Mailsebastian.baronplus.acat

Publikationen pro Jahr

1 Abgeschlossen

LLMs für Unternehmen: Large-Language-Modelle (LLMs) für Unternehmen
Hirländer, S. (Projektleitung), Borgelt, C. (Projektmitarbeiter/in) & Baron, S. (Projektmitarbeiter/in)
1/05/24 → 31/07/24
Projekt: Forschung

5 Artikel
3 Poster
2 Meeting-Abstract
1 Preprint

Exploring the bidirectional within-subject relationship between sleep and affective wellbeing: Insights from an intensive longitudinal study
Hachenberger, J., ten Brink , M., Kerkhoff, D., Baron, S., Schabus, M. & Lemola, S., 13 Nov. 2025, in: International Journal of Clinical and Health Psychology. 25, 4, 8 S., 100648.
Publikation: Beitrag in Fachzeitschrift › Artikel › Peer-reviewed

Open Access
The role of objective sleep duration, continuity, and architecture for subjective sleep perception: Findings from an intensive longitudinal study using heart-rate variability to infer objective sleep indicators
Hachenberger, J., Baron, S., Schabus, M. & Lemola, S., Mai 2025, in: Sleep Medicine. 129, S. 167-174 8 S.
Publikation: Beitrag in Fachzeitschrift › Artikel › Peer-reviewed

Open Access
Continuous momentary assessment of sleep using reliable HRV-based wearables: A possible alternative to DREEM?
Schabus, M., Baron, S., Heib, D., Hinterberger, A. & Topalidis, P., 25 Sept. 2024.
Publikation: Konferenzbeitrag › Poster › Peer-reviewed
Improving Accessibility and Minimizing Errors: Reliable Sleep Stage Classification Using Wearable Sensors
Schabus, M., Baron, S., Topalidis, P., Hinterberger, A., Eigl, E.-S. & Heib, D. P. J., 4 Juni 2024.
Publikation: Konferenzbeitrag › Poster › Peer-reviewed
From pulses to sleep stages: using heart-rate variability from low-cost wearable devices for accurate four-class sleep stage classification
Topalidis, P., Heib, D., Baron, S., Eigl, E.-S., Hinterberger, A. & Schabus, M., Feb. 2024, in: Sleep Medicine. 115, S. S106
Publikation: Beitrag in Fachzeitschrift › Meeting-Abstract › Peer-reviewed

1 Vortrag

Robust apnea severity estimation from inter-beat-intervals using deep learning
Baron, S. (Redner/in)
28 Nov. 2025
Aktivität: Gastvortrag oder Vortrag › Vortrag › science to science / art to art