Fatoumata Dama

According to our database, Fatoumata Dama authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Introduire l'IA dans la lutte contre la fraude - Comment choisir et convaincre ?

Fatoumata Dama, Rita Sleiman, Steve Bellart

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.

Fatoumata Dama, Christine Sinoquet

Mach. Learn., January, 2023

A Novel Incremental Learning Strategy Based on Synthetic Data Generated from a Random Forest.

Jordan Gonzalez, Fatoumata Dama, Laurent Cervoni

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.

Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau

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.

Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2021

Analysis and modeling to forecast in time series: a systematic review.

Fatoumata Dama, Christine Sinoquet

CoRR, 2021

Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting.

Fatoumata Dama, Christine Sinoquet

CoRR, 2021

Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis.

Fatoumata Dama, Christine Sinoquet

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021