Ghent University Academic Bibliography

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Patients with chronic cluster headache may show reduced activity energy expenditure on ambulatory wrist actigraphy recordings during daytime attacks

Nicolas Vandenbussche (UGent) , Jonas Van Der Donckt (UGent) , Mathias De Brouwer (UGent) , Bram Steenwinckel (UGent) , Marija Stojchevska (UGent) , Femke Ongenae (UGent) , Sofie Van Hoecke (UGent) and Koen Paemeleire (UGent)

(2024) BRAIN AND BEHAVIOR. 14(1).
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Acoustic and prosodic speech features reflect physiological stress but not isolated negative affect : a multi-paradigm study on psychosocial stressors

Mitchel Kappen (UGent) , Gert Vanhollebeke (UGent) , Jonas Van Der Donckt (UGent) , Sofie Van Hoecke (UGent) and Marie-Anne Vanderhasselt (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
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Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches

Jonas Van Der Donckt (UGent) , Nicolas Vandenbussche (UGent) , Jeroen Van Der Donckt (UGent) , Stephanie Chen (UGent) , Marija Stojchevska (UGent) , Mathias De Brouwer (UGent) , Bram Steenwinckel (UGent) , Koen Paemeleire (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
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MinMaxLTTB : leveraging MinMax-preselection to scale LTTB

Jeroen Van Der Donckt (UGent) , Jonas Van Der Donckt (UGent) , Michaël Rademaker (UGent) and Sofie Van Hoecke (UGent)

(2023) 2023 IEEE Visualization and Visual Analytics (VIS). In IEEE Visualization Conference p.21-25
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Do not sleep on traditional machine learning simple and interpretable techniques are competitive to deep learning for sleep scoring

Jeroen Van Der Donckt (UGent) , Jonas Van Der Donckt (UGent) , Emiel Deprost (UGent) , Nicolas Vandenbussche (UGent) , Michael Rademaker, Gilles Vandewiele (UGent) and Sofie Van Hoecke (UGent)

(2023) BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 81.

Academic Bibliography

Patients with chronic cluster headache may show reduced activity energy expenditure on ambulatory wrist actigraphy recordings during daytime attacks

Acoustic and prosodic speech features reflect physiological stress but not isolated negative affect : a multi-paradigm study on psychosocial stressors

Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches

MinMaxLTTB : leveraging MinMax-preselection to scale LTTB

Do not sleep on traditional machine learning simple and interpretable techniques are competitive to deep learning for sleep scoring

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