Gilles Vandewiele

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 32

Top Topics

External Data Sources

Machine Learning

Predictive Model

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino, Femke Ongenae
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. ESWC (2023)
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR (2023)
M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke
Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring. Biomed. Signal Process. Control. 81 (2023)
M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke
Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring. CoRR (2022)
Vic Degraeve, Gilles Vandewiele, Femke Ongenae, Sofie Van Hoecke
R-GCN: The R Could Stand for Random. CoRR (2022)
Gilles Vandewiele, Bram Steenwinckel, Terencio Agozzino, Femke Ongenae
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. CoRR (2022)
Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, King Yuen Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Rhiju Das
Deep learning models for predicting RNA degradation via dual crowdsourcing. Nat. Mac. Intell. 4 (12) (2022)
Sandeep Ramachandra, Gilles Vandewiele, David Vander Mijnsbrugge, Femke Ongenae, Sofie Van Hoecke
Perfectly predicting ICU length of stay: too good to be true. CoRR (2022)
Bram Steenwinckel, Gilles Vandewiele, Michael Weyns, Terencio Agozzino, Filip De Turck, Femke Ongenae
INK: knowledge graph embeddings for node classification. Data Min. Knowl. Discov. 36 (2) (2022)
Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling. Artif. Intell. Medicine 111 (2021)
Bram Steenwinckel, Gilles Vandewiele, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs. DEXA Workshops (2021)
Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, Anthony Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Eterna Participants, Rhiju Das
Predictive models of RNA degradation through dual crowdsourcing. CoRR (2021)
Gilles Vandewiele, Femke Ongenae, Filip De Turck
GENDIS: Genetic Discovery of Shapelets. Sensors 21 (4) (2021)
Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae
MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph. BMC Medical Informatics Decis. Mak. (4) (2020)
Bram Steenwinckel, Gilles Vandewiele, Ilja Rausch, Pieter Heyvaert, Ruben Taelman, Pieter Colpaert, Pieter Simoens, Anastasia Dimou, Filip De Turck, Femke Ongenae
Facilitating the Analysis of COVID-19 Literature Through a Knowledge Graph. ISWC (2) (2020)
Lucas Sterckx, Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
Clinical information extraction for preterm birth risk prediction. J. Biomed. Informatics 110 (2020)
Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling. CoRR (2020)
Joris Heyse, Gilles Vandewiele, Femke Ongenae, Femke De Backere, Filip De Turck
How do Users interact with Mobile Health Apps?: A Markov Chain Analysis. PervasiveHealth (2020)
Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs. CoRR (2020)
Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods
Tslearn, A Machine Learning Toolkit for Time Series Data. J. Mach. Learn. Res. 21 (2020)
Gilles Vandewiele, Femke Ongenae, Filip De Turck
GENDIS: GENetic DIscovery of Shapelets. CoRR (2019)
Gilles Vandewiele, Bram Steenwinckel, Femke Ongenae, Filip De Turck
Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph. SEPDA@ISWC (2019)
Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester
A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset. AIME (2019)
Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester
Time-to-Birth Prediction Models and the Influence of Expert Opinions. AIME (2019)
Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae
CVS2KG: Transforming Tabular Data into Semantic Knowledge. SemTab@ISWC (2019)
Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae, Filip De Turck
A decision support system to follow up and diagnose primary headache patients using semantically enriched data. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Gilles Vandewiele, Youri Geurkink, Maarten Lievens, Femke Ongenae, Filip De Turck, Jan Boone
Enabling Training Personalization by Predicting the Sessioon Rate of Perceived Exertion. MLSA@PKDD/ECML (2017)
Gilles Vandewiele, Pieter Colpaert, Olivier Janssens, Joachim Van Herwegen, Ruben Verborgh, Erik Mannens, Femke Ongenae, Filip De Turck
Predicting Train Occupancies based on Query Logs and External Data Sources. WWW (Companion Volume) (2017)
Gilles Vandewiele
Enhancing White-Box Machine Learning Processes by Incorporating Semantic Background Knowledge. ESWC (2) (2017)
Gilles Vandewiele, Kiani Lannoye, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke
A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles. PAKDD (Workshops) (2017)
Glenn Daneels, Esteban Municio, Kathleen Spaey, Gilles Vandewiele, Alexander Dejonghe, Femke Ongenae, Steven Latré, Jeroen Famaey
Real-Time data dissemination and analytics platform for challenging IoT environments. GIIS (2017)
Gilles Vandewiele, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke
GENESIM: genetic extraction of a single, interpretable model. CoRR (2016)