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Mariam Barry
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Journal Articles
- 2021
- [j1]Maurras Ulbricht Togbe, Yousra Chabchoub, Aliou Boly, Mariam Barry, Raja Chiky, Maroua Bahri:
Anomalies Detection Using Isolation in Concept-Drifting Data Streams. Comput. 10(1): 13 (2021)
Conference and Workshop Papers
- 2023
- [c6]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, Eric Guerizec:
StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. ICDE 2023: 3508-3521 - [c5]Mariam Barry, Albert Bifet, Jean-Luc Billy:
StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production. ICSE-SEIP 2023: 134-137 - 2022
- [c4]Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec:
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network. IEEE Big Data 2022: 2190-2197 - [c3]Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky:
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams. IEEE Big Data 2022: 2198-2205 - 2021
- [c2]Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran:
Challenges of Machine Learning for Data Streams in the Banking Industry. BDA 2021: 106-118 - 2020
- [c1]Maurras Ulbricht Togbe, Mariam Barry, Aliou Boly, Yousra Chabchoub, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran:
Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow. ICCSA (4) 2020: 15-30
Coauthor Index
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