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)

Challenges of Machine Learning for Data Streams in the Banking Industry. - Mariam Barry; Albert Bifet; Raja Chiky; Jacob Montiel; Vinh-Thuy Tran (BDA, 2021)

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

Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network. - Mariam Barry; Albert Bifet; Raja Chiky; Saad El Jaouhari; Jacob Montiel; Aissa El Ouafi; Eric Guerizec (IEEE Big Data, 2022)

StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams. - Mariam Barry; Saad El Jaouhari; Albert Bifet; Jacob Montiel; Eric Guerizec; Raja Chiky (IEEE Big Data, 2022)

StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. - Mariam Barry; Jacob Montiel; Albert Bifet; Sameer Wadkar; Nikolay Manchev; Max Halford; Raja Chiky; Saad El Jaouhari; Katherine B. Shakman; Joudi Al Fehaily; Fabrice Le Deit; Vinh-Thuy Tran; et al. (ICDE, 2023)

StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production. - Mariam Barry; Albert Bifet; Jean-Luc Billy (ICSE-SEIP, 2023)

GraphRAG: Leveraging Graph-Based Efficiency to Minimize Hallucinations in LLM-Driven RAG for Finance Data. - Mariam Barry; Gaëtan Caillaut; Pierre Halftermeyer; Raheel Qader; Mehdi Mouayad; Fabrice Le Deit; Dimitri Cariolaro; Joseph Gesnouin (COLING Workshops, 2025)