Ahmad Fall

According to our database, Ahmad Fall authored at least 5 papers between 2019 and 2025.

Collaborative distances:

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

2025

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability.

Ahmad Fall, Federica Granese, Alex Lence, Dominique Fourer, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti

CoRR, May, 2025

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion.

Alex Lence, Federica Granese, Ahmad Fall, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms.

Alex Lence, Ahmad Fall, Samuel David Cohen, Federica Granese, Jean-Daniel Zucker, Joe-Elie Salem, Edi Prifti

CoRR, 2024

2023

Interpretability of Neural Networks applied to Electrocardiograms: Translational Applications in Cardiovascular Diseases. (Interpretabilité dans l'apprentissage de modèles profonds appliqués aux électrocardiogrammes: applications translationnelles aux maladies cardiovasculaires).

Ahmad Fall

PhD thesis, 2023

2019

A Language-oriented Approach for the Maintenance of Megamodel-based Complex Systems.

El Hadji Bassirou Toure, Ibrahima Fall, Alassane Bah, Mamadou Samba Camara, Mandicou Ba, Ahmad Fall

Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development, 2019