Gilles Vandewiele

According to our database, Gilles Vandewiele authored at least 29 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke

Biomed. Signal Process. Control., March, 2023

REFORMS: Reporting Standards for Machine Learning Based Science.

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

CoRR, 2023

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec.

Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino, Femke Ongenae

Proceedings of the Semantic Web - 20th International Conference, 2023

2022

Deep learning models for predicting RNA degradation via dual crowdsourcing.

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

Nat. Mac. Intell., December, 2022

INK: knowledge graph embeddings for node classification.

Bram Steenwinckel, Gilles Vandewiele, Michael Weyns, Terencio Agozzino, Filip De Turck, Femke Ongenae

Data Min. Knowl. Discov., 2022

Perfectly predicting ICU length of stay: too good to be true.

Sandeep Ramachandra, Gilles Vandewiele, David Vander Mijnsbrugge, Femke Ongenae, Sofie Van Hoecke

CoRR, 2022

Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring.

M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michaël Rademaker, Gilles Vandewiele, Sofie Van Hoecke

CoRR, 2022

R-GCN: The R Could Stand for Random.

Vic Degraeve, Gilles Vandewiele, Femke Ongenae, Sofie Van Hoecke

CoRR, 2022

2021

GENDIS: Genetic Discovery of Shapelets.

Gilles Vandewiele, Femke Ongenae, Filip De Turck

Sensors, 2021

Predictive models of RNA degradation through dual crowdsourcing.

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

CoRR, 2021

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

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

Artif. Intell. Medicine, 2021

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs.

Bram Steenwinckel, Gilles Vandewiele, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae

Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020

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

Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae

BMC Medical Informatics Decis. Mak., 2020

Tslearn, A Machine Learning Toolkit for Time Series Data.

Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, Chester Holtz, Marie Payne, Roman Yurchak, Marc Rußwurm, Kushal Kolar, Eli Woods

J. Mach. Learn. Res., 2020

Clinical information extraction for preterm birth risk prediction.

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

J. Biomed. Informatics, 2020

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling.

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

CoRR, 2020

Facilitating the Analysis of COVID-19 Literature Through a Knowledge Graph.

Bram Steenwinckel, Gilles Vandewiele, Ilja Rausch, Pieter Heyvaert, Ruben Taelman, Pieter Colpaert, Pieter Simoens, Anastasia Dimou, Filip De Turck, Femke Ongenae

Proceedings of the Semantic Web - ISWC 2020, 2020

How do Users interact with Mobile Health Apps?: A Markov Chain Analysis.

Joris Heyse, Gilles Vandewiele, Femke Ongenae, Femke De Backere, Filip De Turck

Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020

2019

CVS2KG: Transforming Tabular Data into Semantic Knowledge.

Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 18th International Semantic Web Conference, 2019

Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph.

Gilles Vandewiele, Bram Steenwinckel, Femke Ongenae, Filip De Turck

Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset.

Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester

Proceedings of the Artificial Intelligence in Medicine, 2019

Time-to-Birth Prediction Models and the Influence of Expert Opinions.

Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

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

Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae, Filip De Turck

BMC Medical Informatics Decis. Mak., 2018

2017

Predicting Train Occupancies based on Query Logs and External Data Sources.

Gilles Vandewiele, Pieter Colpaert, Olivier Janssens, Joachim Van Herwegen, Ruben Verborgh, Erik Mannens, Femke Ongenae, Filip De Turck

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Enabling Training Personalization by Predicting the Sessioon Rate of Perceived Exertion.

Gilles Vandewiele, Youri Geurkink, Maarten Lievens, Femke Ongenae, Filip De Turck, Jan Boone

Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles.

Gilles Vandewiele, Kiani Lannoye, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Real-Time data dissemination and analytics platform for challenging IoT environments.

Glenn Daneels, Esteban Municio, Kathleen Spaey, Gilles Vandewiele, Alexander Dejonghe, Femke Ongenae, Steven Latré, Jeroen Famaey

Proceedings of the 2017 Global Information Infrastructure and Networking Symposium, 2017

Enhancing White-Box Machine Learning Processes by Incorporating Semantic Background Knowledge.

Gilles Vandewiele

Proceedings of the Semantic Web - 14th International Conference, 2017

2016

GENESIM: genetic extraction of a single, interpretable model.

Gilles Vandewiele, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke

CoRR, 2016