Sofie Van Hoecke

Ablynx (Belgium) — Belgium

Computer Science · Physical Sciences

29h-index4.5kcitations243works3.12yr avg
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Research Topics

Anomaly Detection Techniques and Applications(26), Time Series Analysis and Forecasting(25), Service-Oriented Architecture and Web Services(23), Context-Aware Activity Recognition Systems(17), Machine Fault Diagnosis Techniques(15)

Publications243 total

Using machine learning to predict patient-reported symptom clusters in prostate cancer patients receiving radiotherapy
Health and Quality of Life Outcomes·2025Open Access
Impact of window sizes and sensor quality on MCSA for misalignment fault detection
The International Journal of Advanced Manufacturing Technology·2025
Improved IOL Power Calculation With Femtosecond Laser Enhanced Refractive Outcome Prediction
Translational Vision Science & Technology·2025Open Access
Towards Trustful Machine Learning for Antimicrobial Therapy Using an Explainable Artificial Intelligence Dashboard
Applied Sciences·2025Open Access
Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study
JMIR mhealth and uhealth·2025Open Access
Mobile Technology for Just-in-Time Prediction of Depression: A Scoping Review
2025Open Access
Flame monitoring and anomaly detection in steel reheating furnaces based on thermal video using a hybrid AI computer vision system
Scientific Reports·2025· 3 citedOpen Access
An artificial intelligence-powered digital pathology platform to support large-scale deworming programs against soil-transmitted helminthiasis and intestinal schistosomiasis in resource-limited settings
2025· 1 citedOpen Access
Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT
npj Breast Cancer·2025· 1 citedOpen Access
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variants
PLoS neglected tropical diseases·2025· 1 citedOpen Access
Enabling Cross-Context Learning with Knowledge Graphs for Anomaly Detection in Communications Networks
Journal of Network and Systems Management·2025
Causalteshap: discerning predictive from prognostic features for treatment effect analysis
International Journal of Machine Learning and Cybernetics·2025· 1 citedOpen Access
Another Brick in the Wall: Leveraging Feature Extraction and Ensemble Learning for Building Data Classification
2025Open Access
Explainable knowledge graph embeddings for industrial process monitoring & control
Information Fusion·2025· 4 citedOpen Access
Designing a just-in-time adaptive intervention with trigger detection and a generative chatbot: Smoking cessation use case
Digital Health·2025Open Access
landmarker: A Toolkit for Anatomical Landmark Localization in 2D/3D Images
SoftwareX·2025· 3 citedOpen Access
RR-GCN: Exploring Untrained Random Embeddings for Relational Graphs
International Journal of Software Engineering and Knowledge Engineering·2025Open Access
Tracking Migraine Symptoms: A Longitudinal Comparison of Smartphone-Based Headache Diaries and Clinical Interviews
Neurology International·2025· 1 citedOpen Access
Uncovering the potential of smartphones for behavior monitoring during migraine follow-up
BMC Medical Informatics and Decision Making·2025· 2 citedOpen Access
Analysis of free-living daytime movement in patients with migraine with access to acute treatment
The Journal of Headache and Pain·2025· 4 citedOpen Access
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Frequent Co-authors

Rik Van de Walle(14), Olivier Janssens(13), Filip De Turck(12), Steven Verstockt(9), Femke Ongenae(9), Jonas Van Der Donckt(6), Viktor Slavkovikj(5), Mia Loccufier(5), Johan Decruyenaere(5), Jeroen Van Der Donckt(5), Kristof Steurbaut(4), Wesley De Neve(4), Bram Steenwinckel(4), Diego Nieves Avendano(4), Bart Merci(4), Kirsten Colpaert(3), Eric A. J. Hoste(3), Dieter De Paepe(3), Sander Vanden Hautte(3), Pieter Moens(3)