Towards Efficient Data Sampling for Temporal Anomaly Detection in Sensor Networks. - Rayane El Sibai; Yousra Chabchoub; Chady Abou Jaoude; Jacques Demerjian; Maurras Togbe (MENACOMM, 2019)

Etude comparative des méthodes de détection d'anomalies. - Maurras Ulbricht Togbe; Yousra Chabchoub; Aliou Boly; Raja Chiky (EGC, 2020)

Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow. - Maurras Ulbricht Togbe; Mariam Barry; Aliou Boly; Yousra Chabchoub; Raja Chiky; Jacob Montiel; Vinh-Thuy Tran (ICCSA (4), 2020)

Anomalies Detection Using Isolation in Concept-Drifting Data Streams. - Maurras Ulbricht Togbe; Yousra Chabchoub; Aliou Boly; Mariam Barry; Raja Chiky; Maroua Bahri (Comput., 2021)

Distributed Anomalies Detection Using Isolation Forest and Spark. - Maurras Ulbricht Togbe; Yousra Chabchoub; Aliou Boly; Raja Chiky (ICCCI (CCIS Volume), 2022)

An In-Depth Study and Improvement of Isolation Forest. - Yousra Chabchoub; Maurras Ulbricht Togbe; Aliou Boly; Raja Chiky (IEEE Access, 2022)

Détection distribuée d'anomalies dans les flux de données. (Distributed anomalies detection in data stream). - Maurras Togbe (2022)

Explainable Contextual Anomaly Detection: A Focus on QCAD. - Gauderic Gumbs; Maurras Togbe; Yousra Chabchoub; Patrick Perrot (AI4GS, 2024)

Application of Explainable AI to Healthcare: A Review. - Samuel Gbenga Faluyi; Yousra Chabchoub; Maurras Togbe; Jérémie Sublime (IDDM, 2024)