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Olivier Janssens
Olivier Janssens
Freelance Data scientist || Senior Data Scientist at Colruyt Group
Verified email at colruytgroup.com
Title
Cited by
Cited by
Year
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
8332016
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
1612017
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
1002015
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
762018
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
502016
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
482015
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
462018
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
312016
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
292019
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
202018
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
192017
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
182019
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
182014
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
172018
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
152020
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
152013
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
112013
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
102018
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
92019
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