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ORCIDGilles Vandewiele
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2020 – today
- 2023
[j9]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: 104429 (2023)- [c13]Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino, Femke Ongenae:
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. ESWC 2023: 471-483 - [i10]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 abs/2308.07832 (2023) - 2022
- [j8]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): 620-667 (2022) - [j7]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): 1174-1184 (2022) - [i9]Vic Degraeve, Gilles Vandewiele, Femke Ongenae, Sofie Van Hoecke:
R-GCN: The R Could Stand for Random. CoRR abs/2203.02424 (2022) - [i8]Gilles Vandewiele, Bram Steenwinckel, Terencio Agozzino, Femke Ongenae:
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. CoRR abs/2205.02283 (2022) - [i7]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 abs/2207.07753 (2022) - [i6]Sandeep Ramachandra, Gilles Vandewiele, David Vander Mijnsbrugge, Femke Ongenae, Sofie Van Hoecke:
Perfectly predicting ICU length of stay: too good to be true. CoRR abs/2211.05597 (2022) - 2021
- [j6]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: 101987 (2021) - [j5]Gilles Vandewiele, Femke Ongenae, Filip De Turck:
GENDIS: Genetic Discovery of Shapelets. Sensors 21(4): 1059 (2021) - [c12]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: 70-80 - [i5]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 abs/2110.07531 (2021) - 2020
- [j4]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: 103544 (2020) - [j3]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: 118:1-118:6 (2020) - [j2]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. 20-S(4): 191 (2020) - [c11]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: 255-258 - [c10]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: 344-357 - [i4]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 abs/2001.06296 (2020) - [i3]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 abs/2009.04404 (2020)
2010 – 2019
- 2019
- [c9]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: 286-291 - [c8]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: 355-364 - [c7]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: 1-6 - [c6]Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae:
CVS2KG: Transforming Tabular Data into Semantic Knowledge. SemTab@ISWC 2019: 33-40 - [i2]Gilles Vandewiele, Femke Ongenae, Filip De Turck:
GENDIS: GENetic DIscovery of Shapelets. CoRR abs/1910.12948 (2019) - 2018
- [j1]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): 98:1-98:15 (2018) - 2017
- [c5]Gilles Vandewiele:
Enhancing White-Box Machine Learning Processes by Incorporating Semantic Background Knowledge. ESWC (2) 2017: 267-278 - [c4]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: 23-30 - [c3]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: 104-115 - [c2]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: 31-40 - [c1]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: 1469-1474 - 2016
- [i1]Gilles Vandewiele, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke:
GENESIM: genetic extraction of a single, interpretable model. CoRR abs/1611.05722 (2016)
Coauthor Index
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