Browsing by author "Vandewiele, Gilles"
Now showing items 1-20 of 24
-
A critical look at studies applying over-sampling on the TPEHGDB dataset
Vandewiele, Gilles; Dehaene, I.; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, K.; Van Hoecke, Sofie; Demeester, Thomas (2019) -
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
Vandewiele, Gilles; De Backere, Femke; Lannoye, Kiani; Vanden Berghe, Maarten; Janssens, Olivier; Van Hoecke, Sofie; Keereman, Vincent; Paemeleire, Koen; Ongenae, Femke; De Turck, Filip (2018) -
A genetic algorithm for interpretable model extraction from decision tree ensembles
Vandewiele, Gilles; Lannoye, Kiani; Janssens, Olivier; Ongenae, Femke; De Turck, Filip; Van Hoecke, Sofie (2017-05) -
Assessing navigation in eHealth apps : a Markov chain analysis of the Start2Cycle app
Stragier, Jeroen; Vandewiele, Gilles; Coppens, Paulien; De Marez, Lieven; Van Den Broeck, Wendy; De Turck, Filip; Ongenae, Femke (2018) -
Clinical information extraction for preterm birth risk prediction
Sterckx, L.; Vandewiele, Gilles; Dehaene, I.; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, K.; Decruyenaere, J.; Van Hoecke, Sofie; Demeester, Thomas (2020-10) -
Commentary: Automated detection of preterm condition using uterine electromyography based topological features
Vandewiele, Gilles; Ongenae, Femke; Dehaene, Isabelle (2021) -
Data mining in the development of mobile health apps : assessing in-app navigation through Markov chain analysis
Stragier, Jeroen; Vandewiele, Gilles; Coppens, Paulien; Ongenae, Femke; Van Den Broeck, Wendy; De Turck, Filip; De Marez, Lieven (2019) -
Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring
Van Der Donckt, Jeroen; Van Der Donckt, Jonas; Deprost, Emiel; Vandenbussche, Nicolas; Rademaker, Michael; Vandewiele, Gilles; Van Hoecke, Sofie (2023) -
Enabling training personalization by predicting the session rate of perceived exertion (sRPE)
Vandewiele, Gilles; Geurkink, Youri; Lievens, Maarten; Ongenae, Femke; De Turck, Filip; Boone, Jan (2017) -
Enhancing white-box machine learning processes by incorporating semantic background knowledge
Vandewiele, Gilles (2017-06) -
Explainable Data Mining for Critical Domains Based on Complex Data Structures
Vandewiele, Gilles (2021-02) -
Facilitating the analysis of COVID-19 literature through a knowledge graph
Steenwinckel, Bram; Vandewiele, Gilles; Rausch, Ilja; Heyvaert, Pieter; Taelman, Ruben; Colpaert, Pieter; Simoens, Pieter; Dimou, Anastasia; De Turck, Filip; Ongenae, Femke (2020) -
GENDIS: Genetic Discovery of Shapelets
Vandewiele, Gilles; Ongenae, Femke; De Turck, Filip (2021) -
Inducing a decision tree with discriminative paths to classify entities in a knowledge graph
Vandewiele, Gilles; Steenwinckel, Bram; Ongenae, Femke; De Turck, Filip (2019) -
INK: knowledge graph embeddings for node classification
Steenwinckel, Bram; Vandewiele, Gilles; Weyns, Michael; Agozzino, T.; De Turck, Filip; Ongenae, Femke (2022) -
MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph
Vandewiele, Gilles; Steenwinckel, Bram; De Turck, Filip; Ongenae, Femke (2020) -
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling
Vandewiele, Gilles; Dehaene, Isabelle; Kovacs, Gyorgy; Sterckx, Lucas; Janssens, Olivier; Roelens, Kristien; Decruyenaere, Johan; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Van Hoecke, Sofie; De Meester, Thomas (2021) -
Predicting train occupancies based on query logs and external data sources
Vandewiele, Gilles; Van Herwegen, Joachim; Ongenae, Femke; Colpaert, Pieter; Verborgh, Ruben; De Turck, Filip; Janssens, Olivier; Mannens, Erik (2017) -
Real-time data dissemination and analytics platform for challenging IoT environments
Daneels, Glenn; Municio, Esteban; Spaey, Kathleen; Vandewiele, Gilles; Dejonghe, Alexander; Ongenae, Femke; Latre, Steven; Famaey, Jeroen (2017) -
The web-based application "QUiPP v.2" for the prediction of preterm birth in symptomatic women is not yet ready for worldwide clinical use: ten reflections on development, validation and use
Dehaene, Isabelle; Steen, Johan; Vandewiele, Gilles; Roelens, Kristien; Decruyenaere, Johan (2022)