prof. dr. ir. Sofie Van Hoecke

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

Work address: Technologiepark Zwijnaarde 122
9052 Zwijnaarde
Email: Sofie.VanHoecke@UGent.be
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.

Show Sort by

Add to list
- Journal Article
- open access
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.
Add to list
- Journal Article
- A1
- open access
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.
Add to list
- Journal Article
- A1
- open access
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).
Add to list
- Journal Article
- A1
- open access
A microservice architecture for leak localization in water distribution networks using hybrid AI

Ganjour Mazaev (UGent) , Michael Weyns (UGent) , Pieter Moens (UGent) , Pieter Jan Haest, Filip Vancoillie, Guido Vaes, Joeri Debaenst, Aagje Waroux, Kris Marlein, Femke Ongenae (UGent) , et al.

(2023) JOURNAL OF HYDROINFORMATICS.
Add to list
- Journal Article
- open access
TALK : tracking activities by linking knowledge

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

(2023) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 122.
Add to list
- Journal Article
- A1
- open access
Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings

Jelle Vanhaeverbeke (UGent) , Emiel Deprost (UGent) , Pieter Bonte (UGent) , Matthias Strobbe (UGent) , Jelle Nelis (UGent) , Bruno Volckaert (UGent) , Femke Ongenae (UGent) , Steven Verstockt (UGent) and Sofie Van Hoecke (UGent)

(2023) SENSORS. 23(5).
Add to list
- Journal Article
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.
Add to list
- Journal Article
- A1
- open access
Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

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

(2023) WATER SUPPLY. 23(1). p.162-178
Add to list
- Conference Paper
- C1
- open access
Powershap : a power-full shapley feature selection method

Jarne Verhaeghe (UGent) , Jeroen Van Der Donckt (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2022, Proceedings, Part I. In Lecture notes in computer science 13713. p.71-87
Add to list
- Conference Paper
- C1
- open access
Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier

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

(2022) 2022 IEEE International Conference on Big Data (Big Data). p.4854-4859

Academic Bibliography

prof. dr. ir. Sofie Van Hoecke

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

A microservice architecture for leak localization in water distribution networks using hybrid AI

TALK : tracking activities by linking knowledge

Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings

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

Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

Powershap : a power-full shapley feature selection method

Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier

Contents

Support

Contact