Monitoring the Mental Status of Football Players. - Elena Smets; Pieter Joosen; Joachim Taelman; Vasileios Exadaktylos; Daniel Berckmans (icSPORTS, 2013)

Comparison of Machine Learning Techniques for Psychophysiological Stress Detection. - Elena Smets; Pierluigi Casale; Ulf Großekathöfer; Bishal Lamichhane; Walter De Raedt; Katleen Bogaerts; Ilse Van Diest; Chris Van Hoof (MindCare, 2015)

Unsupervised Learning for Mental Stress Detection - Exploration of Self-organizing Maps. - Dorien Huysmans; Elena Smets; Walter De Raedt; Chris Van Hoof; Katleen Bogaerts; Ilse Van Diest; Denis Helic (BIOSIGNALS, 2018)

MobileDNA: Relating Physiological Stress Measurements to Smartphone Usage to Assess the Effect of a Digital Detox. - Sarah Anrijs; Klaas Bombeke; Wouter Durnez; Kristin Van Damme; Bart Vanhaelewyn; Peter Conradie; Elena Smets; Jan Cornelis 001; Walter De Raedt; Koen Ponnet; Lieven De Marez (HCI (29), 2018)

Large-scale wearable data reveal digital phenotypes for daily-life stress detection. - Elena Smets; Emmanuel Rios Velazquez; Giuseppina Schiavone; Imen Chakroun; Ellie D'Hondt; Walter De Raedt; Jan Cornelis 001; Olivier Janssens; Sofie Van Hoecke; Stephan Claes; Ilse Van Diest; Chris Van Hoof (npj Digit. Medicine, 2018)

Accelerometer-based Sleep/Wake Detection in an Ambulatory Environment. - Jan Cornelis 001; Elena Smets; Chris Van Hoof (HEALTHINF, 2019)

Artefact detection and quality assessment of ambulatory ECG signals. - Jonathan Moeyersons; Elena Smets; John F. Morales; Amalia Villa Gómez; Walter De Raedt; Dries Testelmans; Bertien Buyse; Chris Van Hoof; Rik Willems; Sabine Van Huffel; Carolina Varon (Comput. Methods Programs Biomed., 2019)

Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings. - Elena Smets; Walter De Raedt; Chris Van Hoof (IEEE J. Biomed. Health Informatics, 2019)