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
International Symposium on Engineering Secure Software and Systems, 87-100, 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
Fourteenth International Conference on the 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
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
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
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
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
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
Problog2: Probabilistic logic programming
A Dries, A Kimmig, W Meert, J Renkens, GV Broeck, J Vlasselaer, ...
Joint european conference on machine learning and knowledge discovery in …, 2015
Learning ground CP-logic theories by leveraging Bayesian network learning techniques
W Meert, J Struyf, H Blockeel
Fundamenta Informaticae 89 (1), 131-160, 2008
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
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
Lifted generative learning of Markov logic networks
J Van Haaren, G Van den Broeck, W Meert, J Davis
Machine Learning 103 (1), 27-55, 2016
Exploiting local and repeated structure in dynamic Bayesian networks
J Vlasselaer, W Meert, G Van den Broeck, L De Raedt
Artificial Intelligence 232, 43-53, 2016
Anytime inference in probabilistic logic programs with Tp-compilation
J Vlasselaer, G Van den Broeck, A Kimmig, W Meert, L De Raedt
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
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