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.

Add to list
- Journal Article
- A1
- open access
Causalteshap : discerning predictive from prognostic features for treatment effect analysis

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

(2025) INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS.
Add to list
RR-GCN : exploring untrained random embeddings for relational graphs

Sandeep Ramachandra (UGent) , Vic Degraeve, Gilles Vandewiele (UGent) , Bram Steenwinckel (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2025) INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING.
Add to list
- Journal Article
- A1
- open access
Landmarker : a toolkit for anatomical landmark localization in 2D/3D images

Jef Jonkers (UGent) , Luc Duchateau (UGent) , Glenn Van Wallendael (UGent) and Sofie Van Hoecke (UGent)

(2025) SOFTWAREX. 30.
Add to list
- Journal Article
- A2
- open access
Tracking migraine symptoms : a longitudinal comparison of smartphone-based headache diaries and clinical interviews

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)

(2025) NEUROLOGY INTERNATIONAL. 17(3).
Add to list
- Journal Article
- A1
- open access
Uncovering the potential of smartphones for behavior monitoring during migraine follow-up

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

(2025) BMC MEDICAL INFORMATICS AND DECISION MAKING. 25(1).
Add to list
- Journal Article
- A1
- open access
Analysis of free-living daytime movement in patients with migraine with access to acute treatment

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

(2025) JOURNAL OF HEADACHE AND PAIN. 26(1).
Add to list
- Journal Article
- A1
- open access
tsdownsample : high-performance time series downsampling for scalable visualization

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

(2025) SOFTWAREX. 29.
Add to list
Interpretable machine learning models for COPD ease of breathing estimation

Thomas Kok (UGent) , John Morales, Dirk Deschrijver (UGent) , Dolores Blanco-Almazan, Willemijn Groenendaal, David Ruttens, Christophe Smeets, Vojkan Mihajlovic, Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2025) MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING.
Add to list
- Journal Article
- A1
- open access
A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths : a study protocol

Peter Ward (UGent) , Sara Roose (UGent) , Mio Ayana Heda, Lindsay A. Broadfield, Peter Dahlberg, Narcis Kabatereine, Adama Kazienga (UGent) , Zeleke Mekonnen Kurmane (UGent) , Betty Nabatte, Lieven Stuyver, et al.

(2024) PLOS ONE. 19(10).
Add to list
A semi-supervised anomaly detection approach for detecting mechanical failures

Colin Soete (UGent) , Michaël Rademaker (UGent) and Sofie Van Hoecke (UGent)

(2024) AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING. 38.

Academic Bibliography

prof. dr. ir. Sofie Van Hoecke

Causalteshap : discerning predictive from prognostic features for treatment effect analysis

RR-GCN : exploring untrained random embeddings for relational graphs

Landmarker : a toolkit for anatomical landmark localization in 2D/3D images

Tracking migraine symptoms : a longitudinal comparison of smartphone-based headache diaries and clinical interviews

Uncovering the potential of smartphones for behavior monitoring during migraine follow-up

Analysis of free-living daytime movement in patients with migraine with access to acute treatment

tsdownsample : high-performance time series downsampling for scalable visualization

Interpretable machine learning models for COPD ease of breathing estimation

A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths : a study protocol

A semi-supervised anomaly detection approach for detecting mechanical failures

Contents

Support

Contact