Wannes Meert
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Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
S Rajendran, W Meert, D Giustiniano, V Lenders, S Pollin
IEEE Transactions on Cognitive Communications and Networking 4 (3), 433-445, 2018
Range and coexistence analysis of long range unlicensed communication
B Reynders, W Meert, S Pollin
2016 23rd International Conference on Telecommunications (ICT), 1-6, 2016
Lifted probabilistic inference by first-order knowledge compilation
G Van den Broeck, N Taghipour, W Meert, J Davis, L De Raedt
Proceedings ofthe 22th International Joint Conference on Artificial …, 2011
Power and spreading factor control in low power wide area networks
B Reynders, W Meert, S Pollin
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
SessionShield: Lightweight protection against session hijacking
N Nikiforakis, W Meert, Y Younan, M Johns, W Joosen
Engineering Secure Software and Systems: Third International Symposium …, 2011
A 90 nm CMOS, $6\{\upmu {\text {W}}} $ Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection
KMH Badami, S Lauwereins, W Meert, M Verhelst
IEEE Journal of Solid-State Circuits 51 (1), 291-302, 2015
Skolemization for weighted first-order model counting
G Van den Broeck, W Meert, A Darwiche
Proceedings of the 14th International Conference on Principles of Knowledge …, 2014
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines
R Langone, C Alzate, B De Ketelaere, J Vlasselaer, W Meert, ...
Engineering Applications of Artificial Intelligence 37, 268-278, 2015
Semi-supervised anomaly detection with an application to water analytics
V Vercruyssen, W Meert, G Verbruggen, K Maes, R Baumer, J Davis
2018 ieee international conference on data mining (icdm) 2018, 527-536, 2018
Bitsquatting: Exploiting bit-flips for fun, or profit?
N Nikiforakis, S Van Acker, W Meert, L Desmet, F Piessens, W Joosen
Proceedings of the 22nd international conference on World Wide Web, 989-998, 2013
Machine learning with a reject option: A survey
K Hendrickx, L Perini, D Van der Plas, W Meert, J Davis
Machine Learning 113 (5), 3073-3110, 2024
SAIFE: Unsupervised wireless spectrum anomaly detection with interpretable features
S Rajendran, W Meert, V Lenders, S Pollin
2018 IEEE international symposium on dynamic spectrum access networks …, 2018
Unsupervised wireless spectrum anomaly detection with interpretable features
S Rajendran, W Meert, V Lenders, S Pollin
ieee transactions on cognitive communications and networking 5 (3), 637-647, 2019
Dtaidistance v2
W Meert, K Hendrickx, T Van Craenendonck, P Robberechts, H Blockeel, ...
Zenodo (, 2020
Problog2: Probabilistic logic programming
A Dries, A Kimmig, W Meert, J Renkens, G Van den Broeck, J Vlasselaer, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
Fatigue prediction in outdoor runners via machine learning and sensor fusion
T Op De Beéck, W Meert, K Schütte, B Vanwanseele, J Davis
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
Towards digesting the alphabet-soup of statistical relational learning
L De Raedt, B Demoen, D Fierens, B Gutmann, G Janssens, A Kimmig, ...
Proceedings of the 1st Workshop on Probabilistic Programming: Universal …, 2008
Pattern-based anomaly detection in mixed-type time series
L Feremans, V Vercruyssen, B Cule, W Meert, B Goethals
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector
K Badami, S Lauwereins, W Meert, M Verhelst
2015 IEEE International Solid-State Circuits Conference-(ISSCC) Digest of …, 2015
A general anomaly detection framework for fleet-based condition monitoring of machines
K Hendrickx, W Meert, Y Mollet, J Gyselinck, B Cornelis, K Gryllias, ...
Mechanical Systems and Signal Processing 139, 106585, 2020
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