Browsing by Author "Vandewiele, Gilles"

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 genetic algorithm for interpretable model extraction from decision tree ensembles

Assessing navigation in eHealth apps : a Markov chain analysis of the Start2Cycle app

Clinical information extraction for preterm birth risk prediction

Commentary: Automated detection of preterm condition using uterine electromyography based topological features

Data mining in the development of mobile health apps : assessing in-app navigation through Markov chain analysis

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

Enabling training personalization by predicting the session rate of perceived exertion (sRPE)

Enhancing white-box machine learning processes by incorporating semantic background knowledge

Explainable Data Mining for Critical Domains Based on Complex Data Structures

Facilitating the analysis of COVID-19 literature through a knowledge graph

GENDIS: Genetic Discovery of Shapelets

Inducing a decision tree with discriminative paths to classify entities in a knowledge graph

INK: knowledge graph embeddings for node classification

Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs

MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph

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

Real-time data dissemination and analytics platform for challenging IoT environments