DragStream: an anomaly and concept drift detector in univariate data streams
AMSN Bibinbe, AJ Mahamadou… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Anomaly detection in data streams comes with different technical challenges due to the data
nature. The main challenges include storage limitations, the speed of data arrival, and …
nature. The main challenges include storage limitations, the speed of data arrival, and …
A survey on unsupervised learning algorithms for detecting abnormal points in streaming data
AMSN Bibinbe, MF Mbouopda… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
One of the critical tasks of data stream analysis is anomaly detection. Various methods based
on multiple assumptions have been reported in the literature. However, there is still a lack …
on multiple assumptions have been reported in the literature. However, there is still a lack …
Can we bet on artificial intelligence?
E Poulin, AMSN Bibinbe, É Charbonneau, É Paquet… - 2022 - cabidigitallibrary.org
This article highlights the significance of technology such as artificial intelligence in
monitoring the health condition of dairy calves subjected to group housing and its …
monitoring the health condition of dairy calves subjected to group housing and its …
2022 IEEE International Conference on Data Mining Workshops (ICDMW)| 979-8-3503-4609-1/22/$31.00© 2022 IEEE| DOI: 10.1109/ICDMW58026. 2022.00161
H Abdel-Fatao, A Abedi, S Abghari, P Agrawal… - computer.org
… 1176 Moura Santos, Ana … 626 Ngo Bibinbe, Anne Marthe Sophie …
[CITATION][C] Évaluation comparative de méthodes non supervisées pour la détection de points anormaux dans les flux de données.
AMSN Bibinbe, MF Mbouopda, GRM Saleu, EM Nguifo - EGC, 2022