prof. dr. ir. Sofie Van Hoecke

Faculty of Engineering and Architecture > Department of Electronics and information systems

ORCID iD: 0000-0002-7865-6793
Bio (via ORCID): I graduated from the Engineering Department from the Ghent University in 2003. Following up on my studies in computer science, I achieved a PhD in computer science engineering at the Department of Information Technology at the same university. After being a postdoctoral research engineer at the Department of Information Technology, I started as lecturer ICT and ICT research coordinator at the University College West-Flanders. Since 2013, I joined Ghent University again. Currently, I am associate professor at IDLab, Ghent University-imec and my research focuses on machine learning and hybrid machine learning for predictive maintenance and predictive healthcare.

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'LDESTS: Enabling efficient storage and querying of large volumes of time series data on Solid pods

Tom Windels (UGent) , Wout Slabbinck (UGent) , Pieter Bonte (UGent) , Stijn Verstichel (UGent) , Pieter Colpaert (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2023)
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Comparator model for detecting changes in the ease of breathing of COPD patients

Thomas Kok (UGent) , W. Groenendaal, S. Blanco-Almazan, L. Lijnen, C. Smeets, D. Ruttens, J. Morales, Tom Dhaene (UGent) , Femke Ongenae (UGent) , Sofie Van Hoecke (UGent) , et al.

(2023)
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Tree visualization of patient information for explainability of AI outputs

Sandeep Ramachandra (UGent) , David Vander Mijnsbrugge (UGent) , P.J Lammertyn, S. Dupulthys, Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) 3508. p.63-69
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Parameter efficient neural networks with singular value decomposed kernels

David Vander Mijnsbrugge (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 34(9). p.5682-5692
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Context-aware deep learning with dynamically assembled weight matrices

David Vander Mijnsbrugge (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) INFORMATION FUSION. 100.
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Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design

Mathias De Brouwer (UGent) , Bram Steenwinckel (UGent) , Ziye Fang, Marija Stojchevska (UGent) , Pieter Bonte (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2023) SEMANTIC WEB. 14(5). p.893-941
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From lab to real world : assessing the effectiveness of human activity recognition and optimization through personalization

Marija Stojchevska (UGent) , Mathias De Brouwer (UGent) , Martijn Courteaux (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) SENSORS. 23(10).
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Leak localization in water distribution networks using GIS-Enhanced autoencoders

Michael Weyns (UGent) , Ganjour Mazaev (UGent) , Guido Vaes, Filip Vancoillie, Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2023) URBAN WATER JOURNAL. 20(7). p.859-881
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Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients

Jarne Verhaeghe (UGent) , Thomas De Corte (UGent) , Christopher M. Sauer, Tom Hendriks, Olivier W.M. Thijssens, Femke Ongenae (UGent) , Paul Elbers, Jan De Waele (UGent) and Sofie Van Hoecke (UGent)

(2023) INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS. 175.
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Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients : a prospective single center observational study

Thomas De Corte (UGent) , Jarne Verhaeghe (UGent) , Sofie Dhaese, Sarah Van Vooren (UGent) , Jerina Boelens (UGent) , Alain Verstraete (UGent) , Veronique Stove (UGent) , Femke Ongenae (UGent) , Liesbet De Bus (UGent) , Pieter Depuydt (UGent) , et al.

(2023) ANNALS OF INTENSIVE CARE. 13(1).

Academic Bibliography

prof. dr. ir. Sofie Van Hoecke

'LDESTS: Enabling efficient storage and querying of large volumes of time series data on Solid pods

Comparator model for detecting changes in the ease of breathing of COPD patients

Tree visualization of patient information for explainability of AI outputs

Parameter efficient neural networks with singular value decomposed kernels

Context-aware deep learning with dynamically assembled weight matrices

Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design

From lab to real world : assessing the effectiveness of human activity recognition and optimization through personalization

Leak localization in water distribution networks using GIS-Enhanced autoencoders

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients

Pathogen-based target attainment of optimized continuous infusion dosing regimens of piperacillin-tazobactam and meropenem in surgical ICU patients : a prospective single center observational study

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