| Convolutional neural network based fault detection for rotating machinery O Janssens, V Slavkovikj, B Vervisch, K Stockman, M Loccufier, ... Journal of Sound and Vibration 377, 331-345, 2016 | 833 | 2016 |
| Deep learning for infrared thermal image based machine health monitoring O Janssens, R Van de Walle, M Loccufier, S Van Hoecke IEEE/ASME Transactions on Mechatronics 23 (1), 151-159, 2017 | 161 | 2017 |
| Thermal Image Based Fault Diagnosis for Rotating Machinery O Janssens, R Schulz, V Slavkovikj, K Stockman, M Loccufier, ... Infrared Physics and Technology 73, 78-87, 2015 | 100 | 2015 |
| Large-scale wearable data reveal digital phenotypes for daily-life stress detection E Smets, E Rios Velazquez, G Schiavone, I Chakroun, E D’Hondt, ... NPJ digital medicine 1 (1), 1-10, 2018 | 76 | 2018 |
| Data-driven multivariate power curve modeling of offshore wind turbines O Janssens, N Nymfa, C Devriendt, R Van de Walle, S Van Hoecke Engineering Applications of Artificial Intelligence 55, 331-338, 2016 | 50 | 2016 |
| A Learning Based Approach for Real-time Emotion Classification of Tweets O Janssens, R Van de Walle, S Van Hoecke Application of Social Media and Social Network Analysis, 2015 | 48 | 2015 |
| Thermal imaging and vibration-based multisensor fault detection for rotating machinery O Janssens, M Loccufier, S Van Hoecke IEEE transactions on industrial informatics 15 (1), 434-444, 2018 | 46 | 2018 |
| 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 | 42* | 2021 |
| GENESIM: genetic extraction of a single, interpretable model G Vandewiele, O Janssens, femke Ongenae, F De Turck, S Van Hoecke NIPS 2016: Workshop on Interpretable Machine Learning in Complex Systems, 2016 | 31 | 2016 |
| Targeted quantification and untargeted screening of alkylphenols, bisphenol A and phthalates in aquatic matrices using ultra-high-performance liquid chromatography coupled to … S Huysman, L Van Meulebroek, O Janssens, F Vanryckeghem, ... Analytica Chimica Acta 1049, 141-151, 2019 | 29 | 2019 |
| Automated assessment of bone age using deep learning and Gaussian process regression T Van Steenkiste, J Ruyssinck, O Janssens, B Vandersmissen, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 20 | 2018 |
| 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 |
| Medinoid: computer-aided diagnosis and localization of glaucoma using deep learning M Kim, JC Han, SH Hyun, O Janssens, S Van Hoecke, C Kee, W De Neve Applied Sciences 9 (15), 3064, 2019 | 18 | 2019 |
| Educational Virtual Game Scenario Generation for Serious Games O Janssens, K Samyn, R Van de Walle, S Van Hoecke 3rd International Conference on Serious Games and Applications for Health, 2014 | 18 | 2014 |
| 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), 1-15, 2018 | 17 | 2018 |
| A generalized matrix profile framework with support for contextual series analysis D De Paepe, SV Hautte, B Steenwinckel, F De Turck, F Ongenae, ... Engineering Applications of Artificial Intelligence 90, 103487, 2020 | 15 | 2020 |
| Real-time emotion classification of tweets O Janssens, M Slembrouck, S Verstockt, S Van Hoecke, R Van de Walle 2013 IEEE/ACM International Conference on Advances in Social Networks …, 2013 | 15 | 2013 |
| Leaf segmentation and parallel phenotyping for the analysis of gene networds in plants O Janssens, J De Vylder, J Aelterman, S Verstockt, W Philips, ... Signal Processing Conference (Eusipco-2013), 1-5, 2013 | 11 | 2013 |
| Web applicable computer-aided diagnosis of glaucoma using deep learning M Kim, O Janssens, H Park, J Zuallaert, S Van Hoecke, W De Neve arXiv preprint arXiv:1812.02405, 2018 | 10 | 2018 |
| A critical look at studies applying over-sampling on the TPEHGDB dataset G Vandewiele, I Dehaene, O Janssens, F Ongenae, FD Backere, ... Conference on artificial intelligence in medicine in Europe, 355-364, 2019 | 9 | 2019 |
Sofie Van HoeckeAssociate professor, Ghent UniversityVerified email at ugent.be
