Fatemeh Nassajian Mojarrad

According to our database, Fatemeh Nassajian Mojarrad authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Learning a robust shape parameter for RBF approximation.

Maria Han Veiga, Fatemeh Nassajian Mojarrad

CoRR, 2024

Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction.

Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking.

Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention.

Lorenzo Bini, Fatemeh Nassajian Mojarrad, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph.

Fatemeh Nassajian Mojarrad, Lorenzo Bini, Thomas Matthes, Stéphane Marchand-Maillet

CoRR, 2024

2023

An arbitrarily high order and asymptotic preserving kinetic scheme in compressible fluid dynamic.

Rémi Abgrall, Fatemeh Nassajian Mojarrad

CoRR, 2023

A new variable shape parameter strategy for RBF approximation using neural networks.

Fatemeh Nassajian Mojarrad, Maria Han Veiga, Jan S. Hesthaven, Philipp Öffner

Comput. Math. Appl., 2023

2022

Conservative scheme compatible with some other conservation laws: conservation of the local angular momentum.

Rémi Abgrall, Fatemeh Nassajian Mojarrad

CoRR, 2022