| Software defined RADAR a state of the art T Debatty 2010 2nd International Workshop on Cognitive Information Processing, 253-257, 2010 | 65 | 2010 |
| Determining the k in k-means with MapReduce T Debatty, P Michiardi, W Mees, O Thonnard EDBT/ICDT 2014 Joint Conference, 2014 | 28 | 2014 |
| Building a cyber range for training cyberdefense situation awareness T Debatty, W Mees 2019 International Conference on Military Communications and Information …, 2019 | 21 | 2019 |
| Scalable k-nn based text clustering A Lulli, T Debatty, M Dell'Amico, P Michiardi, L Ricci 2015 IEEE International Conference on Big Data (Big Data), 958-963, 2015 | 17 | 2015 |
| A comparative analysis of visualisation techniques to achieve cyber situational awareness in the military S Llopis, J Hingant, I Pérez, M Esteve, F Carvajal, W Mees, T Debatty 2018 International Conference on Military Communications and Information …, 2018 | 13 | 2018 |
| Building k-nn graphs from large text data T Debatty, P Michiardi, O Thonnard, W Mees 2014 IEEE International Conference on Big Data (Big Data), 573-578, 2014 | 12 | 2014 |
| Graph-based APT detection T Debatty, W Mees, T Gilon 2018 International Conference on Military Communications and Information …, 2018 | 9 | 2018 |
| Scalable graph building from text data T Debatty, P Michiardi, O Thonnard, W Mees Proceedings of the 3rd International Workshop on Big Data, Streams and …, 2014 | 9 | 2014 |
| Training a multi-criteria decision system and application to the detection of PHP webshells A Croix, T Debatty, W Mees 2019 International Conference on Military Communications and Information …, 2019 | 8 | 2019 |
| An attempt at defining cyberdefense situation awareness in the context of command & control W Mees, T Debatty 2015 International Conference on Military Communications and Information …, 2015 | 8 | 2015 |
| Adversarial training for deep learning-based intrusion detection systems I Debicha, T Debatty, JM Dricot, W Mees arXiv preprint arXiv:2104.09852, 2021 | 7 | 2021 |
| Fast online K-NN graph building T Debatty, P Michiardi, W Mees arXiv preprint arXiv:1602.06819, 2016 | 6 | 2016 |
| Achieving cyber situation awareness through a multi-aspect 3D operational picture W Mees, S Llopis, T Debatty Proceedings of the NATO IST-148 Symposium on Cyber Defense Situational …, 2016 | 3 | 2016 |
| Multi-agent system for apt detection W Mees, T Debatty 2014 IEEE International Symposium on Software Reliability Engineering …, 2014 | 3 | 2014 |
| Efficient intrusion detection using evidence theory I Debicha, T Debatty, W Mees, JM Dricot , 1, 28-32, 2020 | 2 | 2020 |
| Fast distributed k-nn graph update T Debatty, F Pulvirenti, P Michiardi, W Mees 2016 IEEE International Conference on Big Data (Big Data), 3308-3317, 2016 | 2 | 2016 |
| Detect & Reject for Transferability of Black-Box Adversarial Attacks Against Network Intrusion Detection Systems I Debicha, T Debatty, JM Dricot, W Mees, T Kenaza International Conference on Advances in Cyber Security, 329-339, 2021 | | 2021 |
| Efficient Intrusion Detection Using Evidence Theory I Debicha, T Debatty, W Mees, JM Dricot arXiv preprint arXiv:2103.08585, 2021 | | 2021 |
| Comparison of a Supervised Trained Neural Network Classifier and a Supervised Trained Aggregation Function Classifier A Croix, T Debatty, W Mees | | |
| Evaluation of a Multi-agent Anomaly-based Advanced Persistent Threat Detection Framework G Nikolov, T Debatty, W Mees | | |
Wim MeesRoyal Military AcademyVerified email at rma.ac.be
