Fatoumata Dama
Orcid: 0000-0003-3953-3851
According to our database1,
Fatoumata Dama authored at least 9 papers
between 2021 and 2026.
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Bibliography
2026
BDLBS: An Expert-Rule-Based Generator for Synthetic Complex Longitudinal Health Data.
Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026
2024
Proceedings of the 10ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2024
2023
Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting - application to machine health prognostics.
Mach. Learn., January, 2023
A Novel Incremental Learning Strategy Based on Synthetic Data Generated from a Random Forest.
Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023
A hidden Markov model with Hawkes process-derived contextual variables to improve time series prediction. Case study in medical simulation.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2021
Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting.
CoRR, 2021
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021