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Cited by
All
Since 2019
Citations
17
17
h-index
2
2
i10-index
1
1
0
10
5
2022
2023
2024
5
9
3
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Jean-Charles Verdier
Assistant research
University of Sherbrooke
Verified email at usherbrooke.ca
anomaly detection
machine learning
deep learning
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A revealing large-scale evaluation of unsupervised anomaly detection algorithms
M Alvarez, JC Verdier, DJK Nkashama, M Frappier, PM Tardif, F Kabanza
arXiv preprint arXiv:2204.09825
, 2022
11
2022
Robustness evaluation of deep unsupervised learning algorithms for intrusion detection systems
D Nkashama, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza
arXiv preprint arXiv:2207.03576
, 2022
5
2022
The drawback of binary labeling for the evaluation of unsupervised intrusion detection algorithms
JC Verdier, DJK Nkashama, M Frappier, PM Tardif, F Kabanza
Marc and Tardif, Pierre-Martin and Kabanza, Froduald, The Drawback of Binary …
, 0
1
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
KN D’Jeff, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza
ÉVALUATION DES ALGORITHMES DE DÉTECTION D’ANOMALIES NON SUPERVISÉS
JC Verdier
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