| Tslearn, a machine learning toolkit for time series data R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ... The Journal of Machine Learning Research 21 (1), 4686-4691, 2020 | 311* | 2020 |
| Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling G Vandewiele, I Dehaene, G Kovács, L Sterckx, O Janssens, F Ongenae, ... Artificial Intelligence in Medicine 111, 101987, 2021 | 60* | 2021 |
| A genetic algorithm for interpretable model extraction from decision tree ensembles G Vandewiele, K Lannoye, O Janssens, F Ongenae, F De Turck, ... Pacific-Asia Conference on Knowledge Discovery and Data Mining, 104-115, 2017 | 43* | 2017 |
| Real-time Data Dissemination and Analytics Platform for Challenging IoT Environments G Daneels, E Municio, K Spaey, G Vandewiele, A Dejonghe, F Ongenae, ... GIIS 2017, 2017 | 37 | 2017 |
| CSV2KG: transforming tabular data into semantic knowledge B Steenwinckel, G Vandewiele, F De Turck, F Ongenae SemTab, ISWC Challenge, 33-40, 2019 | 26 | 2019 |
| Modeling the prediction of the session rating of perceived exertion in soccer: Unraveling the puzzle of predictive indicators Y Geurkink, G Vandewiele, M Lievens, F De Turck, F Ongenae, ... International journal of sports physiology and performance 14 (6), 841-846, 2019 | 21* | 2019 |
| Predicting train occupancies based on query logs and external data sources G Vandewiele, P Colpaert, O Janssens, J Van Herwegen, R Verborgh, ... Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 19 | 2017 |
| MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph G Vandewiele, B Steenwinckel, FD Turck, F Ongenae BMC Medical Informatics and Decision Making 20 (4), 1-15, 2020 | 17* | 2020 |
| A decision support system to follow up and diagnose primary headache patients using semantically enriched data G Vandewiele, F De Backere, K Lannoye, M Vanden Berghe, O Janssens, ... BMC medical informatics and decision making 18, 1-15, 2018 | 16 | 2018 |
| Facilitating the analysis of COVID-19 literature through a knowledge graph B Steenwinckel, G Vandewiele, I Rausch, P Heyvaert, R Taelman, ... The Semantic Web–ISWC 2020: 19th International Semantic Web Conference …, 2020 | 15 | 2020 |
| pyrdf2vec: A python implementation and extension of rdf2vec G Vandewiele, B Steenwinckel, T Agozzino, F Ongenae arXiv preprint arXiv:2205.02283, 2022 | 13* | 2022 |
| Walk extraction strategies for node embeddings with rdf2vec in knowledge graphs B Steenwinckel, G Vandewiele, P Bonte, M Weyns, H Paulheim, ... Database and Expert Systems Applications-DEXA 2021 Workshops: BIOKDD, IWCFS …, 2021 | 13* | 2021 |
| Data mining in the development of mobile health apps: Assessing in-app navigation through Markov chain analysis J Stragier, G Vandewiele, P Coppens, F Ongenae, W Van den Broeck, ... Journal of medical Internet research 21 (6), e11934, 2019 | 11 | 2019 |
| GENDIS: Genetic discovery of shapelets G Vandewiele, F Ongenae, F De Turck Sensors 21 (4), 1059, 2021 | 9 | 2021 |
| Training progression in recreational cyclists: no linear dose-response relationship with training load K Vermeire, G Vandewiele, K Caen, M Lievens, JG Bourgois, J Boone Journal of Strength and Conditioning Research, 2019 | 7 | 2019 |
| INK: knowledge graph embeddings for node classification B Steenwinckel, G Vandewiele, M Weyns, T Agozzino, FD Turck, ... Data Mining and Knowledge Discovery 36 (2), 620-667, 2022 | 6 | 2022 |
| Clinical information extraction for preterm birth risk prediction L Sterckx, G Vandewiele, I Dehaene, O Janssens, F Ongenae, ... Journal of Biomedical Informatics 110, 103544, 2020 | 5 | 2020 |
| Enhancing white-box machine learning processes by incorporating semantic background knowledge G Vandewiele European Semantic Web Conference, 267-278, 2017 | 5* | 2017 |
| Time-to-birth prediction models and the influence of expert opinions G Vandewiele, I Dehaene, O Janssens, F Ongenae, F De Backere, ... Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 4 | 2019 |
| R-GCN: the R could stand for random V Degraeve, G Vandewiele, F Ongenae, S Van Hoecke arXiv preprint arXiv:2203.02424, 2022 | 3 | 2022 |
Femke OngenaeAssistant Professor, IDLab - Ghent University - imecGeverifieerd e-mailadres voor ugent.be
