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Gilles Vandewiele

interuniversity microelectronics centre

15H-index
49Paper Count
996Citation Count
Published Papers 12
Publication Date
Hidden risks for selection bias in prognostic models-Insights from time-to-delivery modeling in patients admitted for threatened preterm birth
err2025-09-25
err0
PREAI
errDehaene, Isabelle; Steen, Johan; Smets, Koenraad; Roelens, Kristien; De Coen, Kris; Van Holsbeke, Caroline; Vandewiele, Gilles; Decruyenaere, Johan; Demeester, Thomas
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Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs
err2025-02-13
err0
errOAAI
errLegnar, Maximilian; Siemoneit, Joern-Helge Heinrich; Vandewiele, Gilles; Hesser, Juergen; Popovic, Zoran; Porubsky, Stefan; Weis, Cleo-Aron
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REFORMS: Consensus-based Recommendations for Machine-learning-based Science
err2024-05-03
err4
errOAAI
errKapoor, Sayash; Cantrell, Emily M.; Peng, Kenny; Pham, Thanh Hien; Bail, Christopher A.; Gundersen, Odd Erik; Hofman, Jake M.; Hullman, Jessica; Lones, Michael A.; Malik, Momin M.; Nanayakkara, Priyanka; Poldrack, Russell A.; Raji, Inioluwa Deborah; Roberts, Michael; Salganik, Matthew J.; Serra-Garcia, Marta; Stewart, Brandon M.; Vandewiele, Gilles; Narayanan, Arvind
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Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring
err2023-03-01
err24
errOAAI
errVan Der Donckt, Jeroen; Van Der Donckt, Jonas; Deprost, Emiel; Vandenbussche, Nicolas; Rademaker, Michael; Vandewiele, Gilles; Van Hoecke, Sofie
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Deep learning models for predicting RNA degradation via dual crowdsourcing
err2022-12-14
err14
errOAAI
errWayment-Steele, Hannah K.; Kladwang, Wipapat; Watkins, Andrew M.; Kim, Do Soon; Tunguz, Bojan; Reade, Walter; Demkin, Maggie; Romano, Jonathan; Wellington-Oguri, Roger; Nicol, John J.; Gao, Jiayang; Onodera, Kazuki; Fujikawa, Kazuki; Mao, Hanfei; Vandewiele, Gilles; Tinti, Michele; Steenwinckel, Bram; Ito, Takuya; Noumi, Taiga; He, Shujun; Ishi, Keiichiro; Lee, Youhan; Ozturk, Fatih; Chiu, King Yuen; Ozturk, Emin; Amer, Karim; Fares, Mohamed; Participants, Eterna; Das, Rhiju
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GENDIS: Genetic Discovery of Shapelets
errSENSORS
IF3.5
err2021-02-04
err10
errOAAI
errVandewiele, Gilles; Ongenae, Femke; De Turck, Filip
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Clinical information extraction for preterm birth risk prediction
err2020-10-01
err11
errOAAI
errSterckx, Lucas; Vandewiele, Gilles; Dehaene, Isabelle; Janssens, Olivier; Ongenae, Femke; De Backere, Femke; De Turck, Filip; Roelens, Kristien; Decruyenaere, Johan; Van Hoecke, Sofie; Demeester, Thomas
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Modeling the Prediction of the Session Rating of Perceived Exertion in Soccer: Unraveling the Puzzle of Predictive Indicators
err2019-07-01
err19
PREAI
errGeurkink, Youri; Vandewiele, Gilles; Lievens, Maarten; de Turck, Filip; Ongenae, Femke; Matthys, Stijn P. J.; Boone, Jan; Bourgois, Jan G.
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Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis
err2019-06-07
err9
errOAAI
errStragier, Jeroen; Vandewiele, Gilles; Coppens, Paulien; Ongenae, Femke; Van den Broeck, Wendy; De Turck, Filip; De Marez, Lieven
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A decision support system to follow up and diagnose primary headache patients using semantically enriched data
err2018-11-13
err22
errOAAI
errVandewiele, Gilles; De Backere, Femke; Lannoye, Kiani; Vanden Berghe, Maarten; Janssens, Olivier; Van Hoecke, Sofie; Keereman, Vincent; Paemeleire, Koen; Ongenae, Femke; De Turck, Filip
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