Joeri Ruyssinck
Joeri Ruyssinck
CEO ML2Grow
Verified email at ugent.be - Homepage
Title
Cited by
Cited by
Year
Appliance classification using VI trajectories and convolutional neural networks
L De Baets, J Ruyssinck, C Develder, T Dhaene, D Deschrijver
Energy and Buildings 158, 32-36, 2018
882018
Comprehensive feature selection for appliance classification in NILM
N Sadeghianpourhamami, J Ruyssinck, D Deschrijver, T Dhaene, ...
Energy and Buildings 151, 98-106, 2017
842017
Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores
R Houthooft, J Ruyssinck, J van der Herten, S Stijven, I Couckuyt, ...
Artificial intelligence in medicine 63 (3), 191-207, 2015
522015
NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms
J Ruyssinck, P Geurts, T Dhaene, P Demeester, Y Saeys
PLoS One 9 (3), e92709, 2014
482014
On the Bayesian optimization and robustness of event detection methods in NILM
L De Baets, J Ruyssinck, C Develder, T Dhaene, D Deschrijver
Energy and Buildings 145, 57-66, 2017
462017
Event detection in NILM using cepstrum smoothing
L De Baets, J Ruyssinck, D Deschrijver, T Dhaene
3rd International Workshop on Non-Intrusive Load Monitoring, 1-4, 2016
242016
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
T Van Steenkiste, J Ruyssinck, L De Baets, J Decruyenaere, F De Turck, ...
Artificial intelligence in medicine 97, 38-43, 2019
212019
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
142018
Netter: re-ranking gene network inference predictions using structural network properties
J Ruyssinck, P Demeester, T Dhaene, Y Saeys
BMC bioinformatics 17 (1), 1-16, 2016
112016
Random survival forests for predicting the bed occupancy in the intensive care unit
J Ruyssinck, J van der Herten, R Houthooft, F Ongenae, I Couckuyt, ...
Computational and mathematical methods in medicine 2016, 2016
112016
Systematic comparison of respiratory signals for the automated detection of sleep apnea
T Van Steenkiste, W Groenendaal, J Ruyssinck, P Dreesen, S Klerkx, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
102018
IncGraph: Incremental graphlet counting for topology optimisation
R Cannoodt, J Ruyssinck, J Ramon, K De Preter, Y Saeys
PloS one 13 (4), e0195997, 2018
52018
Positive blood culture detection in time series data using a BiLSTM network
L De Baets, J Ruyssinck, T Peiffer, J Decruyenaere, F De Turck, ...
arXiv preprint arXiv:1612.00962, 2016
52016
Data-driven optimization of energy efficiency and comfort in an apartment
DN Avendano, J Ruyssinck, S Vandekerckhove, S Van Hoecke, ...
2018 International Conference on Intelligent Systems (IS), 174-182, 2018
42018
Network inference by integrating biclustering and feature selection
R Cannoodt, J Ruyssinck, K De Preter, T Dhaene, Y Saeys
BeNeLux Bioinformatics Conference 2013, 33-33, 2013
22013
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification
R Medico, J Ruyssinck, D Deschrijver, T Dhaene
Advances in Data Analysis and Classification, 1-26, 2021
12021
Learning Multivariate Shapelets with Multi-Layer Neural Networks
R Medico, J Ruyssinck, D Deschrijver, T Dhaene
ACDL-Advanced Course on Data Science & Machine Learning, 2018
12018
Optimized statistical test for event detection in non-intrusive load monitoring
L De Baets, J Ruyssinck, C Develder, T Dhaene, D Deschrijver
2017 IEEE International Conference on Environment and Electrical Engineering …, 2017
12017
Early detection of positive blood cultures using recurrent neural networks on time series data
T Peiffer, J Ruyssinck, J Decruyenaere, F De Turck, F Ongenae, ...
25th Belgian-Dutch conference on Machine Learning (BeneLearn 2016), 2016
12016
Method and a system for detecting a respiratory event of a subject and a method for forming a model for detecting a respiratory event
W Groenendaal, D Deschrijver, T Van Steenkiste, J Ruyssinck
US Patent App. 16/981,931, 2021
2021
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Articles 1–20