Browsing by Author "Janssens, Olivier"

A critical look at studies applying over-sampling on the TPEHGDB dataset

A decision support system to follow up and diagnose primary headache patients using semantically enriched data

A generalized matrix profile framework with support for contextual series analysis

A genetic algorithm for interpretable model extraction from decision tree ensembles

Automated assessment of bone age using deep learning and Gaussian process regression

Automated extraction of rules and knowledge from risk analyses: a ventilation unit demo

Clinical information extraction for preterm birth risk prediction

Context-aware stress detection

Data-driven imbalance and hard particle detection in rotating machinery using infrared thermal imaging

Data-Driven Performance Monitoring, Fault Detection and Dynamic Dashboards for Offshore Wind Farms

Deep learning for infrared thermal image based machine health monitoring

Eliminating noise in the matrix profile

Improved performance measures for video quality assessment algorithms using training and validation sets

Interpretable detection of unstable smart TV usage from power state logs

Large-scale wearable data reveal digital phenotypes for daily-life stress detection

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling

Predicting train occupancies based on query logs and external data sources

Thermal imaging and vibration-based multisensor fault detection for rotating machinery

Time-to-birth prediction models and the influence of expert opinions

Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses