Sofie Van Hoecke (0000-0002-7865-6793)

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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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UGent-imec: Ghent, BE

2017-10-01 to present | Associate professor (IDLab)

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Sofie Van Hoecke

https://orcid.org/0000-0002-7865-6793

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Employment (2)

UGent-imec: Ghent, BE

UGent-imec: Ghent, BE

Works (50 of 57)

Feedback-Driven Pattern Matching in Time Series Data

Tracking Migraine Symptoms: A Longitudinal Comparison of Smartphone-Based Headache Diaries and Clinical Interviews

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

Unlocking the Potential of mHealth for Smoking Cessation: An Expert Viewpoint

Point of Interest Recognition and Tracking in Aerial Video during Live Cycling Broadcasts

Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection

Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities

Toward an mHealth App for Early Detection of Relapse in Remitted Depressed Individuals: A Focus Group Study on User Requirements and Concerns (Preprint)

A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests

Designing a Pharmacokinetic Machine Learning Model for Optimizing Beta-Lactam Antimicrobial Dosing in Critically Ill Patients

Benchmarking Whole Knowledge Graph Embedding Techniques

Powershap: A Power-Full Shapley Feature Selection Method

Variable Length Motif Discovery in Time Series Data

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

Parameter Efficient Neural Networks With Singular Value Decomposed Kernels

Leak localization in water distribution networks using GIS-Enhanced autoencoders

From Lab to Real World: Assessing the Effectiveness of Human Activity Recognition and Optimization through Personalization

Do not sleep on traditional machine learning

Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings

Hierarchical pattern matching for anomaly detection in time series

Physics-Based Neural Network Models for Prediction of Cam-Follower Dynamics Beyond Nominal Operations

Neural Network Augmented Physics Models for Systems With Partially Unknown Dynamics: Application to Slider–Crank Mechanism

A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation

An Incremental Grey-Box Current Regression Model for Anomaly Detection of Resistance Mash Seam Welding in Steel Mills

Bayesian Convolutional Neural Networks for Remaining Useful Life Prognostics of Solenoid Valves With Uncertainty Estimations

A Complete Software Stack for IoT Time-Series Analysis that Combines Semantics and Machine Learning—Lessons Learned from the Dyversify Project

Event-Driven Dashboarding and Feedback for Improved Event Detection in Predictive Maintenance Applications

Implications of Z-Normalization in the Matrix Profile

Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach

Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies

Medinoid: Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning †

The efficacy of the Friendly Attac serious digital game to promote prosocial bystander behavior in cyberbullying among young adolescents: A cluster-randomized controlled trial

Deep Learning for Infrared Thermal Image Based Machine Health Monitoring

Data-Driven Imbalance and Hard Particle Detection in Rotating Machinery Using Infrared Thermal Imaging

Towards intelligent lubrication control: Infrared thermal imaging for oil level prediction in bearings

Hyperspectral Image Classification with Convolutional Neural Networks

Thermal image based fault diagnosis for rotating machinery

Influence of Weak Labels for Emotion Recognition of Tweets

SAMuS: Service-Oriented Architecture for Multisensor Surveillance in Smart Homes

Image-Based Road Type Classification

Review of wildfire detection using social media

Educational virtual game scenario generation for serious games

Real-time emotion classification of Tweets

Visitor-art interaction by motion path detection

Design and evaluation of a service oriented architecture for paperless ICU tarification.

Impact of real-time electronic alerting of acute kidney injury on therapeutic intervention and progression of RIFLE class.

Multi-sensor fire detection using visual and time-of-flight imaging

Design and implementation of a secure and user-friendly broker platform supporting the end-to-end provisioning of e-homecare services.

Has information technology finally been adopted in Flemish intensive care units?

Peer review (1 review for 1 publication/grant)