Mariam Barry

According to our database, Mariam Barry authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

LLM-Assisted Retro-Documentation for Legacy COBOL Applications in Banking.

Mahdi Latreche, Elouan Marsot, Emma Asma Daumas, Azzedine Idir Ait Said, Damien Droisy, Mariam Barry

Proceedings of the 3rd IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2026

2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Adaptive Scalable Online Learning for Handling Heterogeneous Streaming Data in Large-Scale Banking Infrastructure. (Modélisation et Industrialisation de Solutions d'Intelligence Artificielle pour des Flux de Données Hétérogènes Issues de Système d'Information Bancaire).

Mariam Barry

PhD thesis, 2024

2023

StreamAI: Dealing with Challenges of Continual Learning Systems for Serving AI in Production.

Mariam Barry, Albert Bifet, Jean-Luc Billy

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

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, Eric Guerizec

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the IEEE International Conference on Big Data, 2022

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

Proceedings of the IEEE International Conference on Big Data, 2022

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

Challenges of Machine Learning for Data Streams in the Banking Industry.

Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran

Proceedings of the Big Data Analytics - 9th International Conference, 2021

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

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020