Anžur, Z.; Žinkovič, K.; Lukan, J.; Barbiero, P.; Slapničar, G.; Li, M.; Gjoreski, M.; Debus, M.E.; Trojer, S.; Luštrek, M.;
et al. A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr. 2025, 7, 62.
https://doi.org/10.3390/make7030062
AMA Style
Anžur Z, Žinkovič K, Lukan J, Barbiero P, Slapničar G, Li M, Gjoreski M, Debus ME, Trojer S, Luštrek M,
et al. A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Machine Learning and Knowledge Extraction. 2025; 7(3):62.
https://doi.org/10.3390/make7030062
Chicago/Turabian Style
Anžur, Zoja, Klara Žinkovič, Junoš Lukan, Pietro Barbiero, Gašper Slapničar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Luštrek,
and et al. 2025. "A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being" Machine Learning and Knowledge Extraction 7, no. 3: 62.
https://doi.org/10.3390/make7030062
APA Style
Anžur, Z., Žinkovič, K., Lukan, J., Barbiero, P., Slapničar, G., Li, M., Gjoreski, M., Debus, M. E., Trojer, S., Luštrek, M., & Langheinrich, M.
(2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Machine Learning and Knowledge Extraction, 7(3), 62.
https://doi.org/10.3390/make7030062