Conservative scheme compatible with some other conservation laws: conservation of the local angular momentum. - Rémi Abgrall; Fatemeh Nassajian Mojarrad (CoRR, 2022)

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)

An arbitrarily high order and asymptotic preserving kinetic scheme in compressible fluid dynamic. - Rémi Abgrall; Fatemeh Nassajian Mojarrad (CoRR, 2023)

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 (CHIL, 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)

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention. - Lorenzo Bini; Fatemeh Nassajian Mojarrad; Thomas Matthes; Stéphane Marchand-Maillet (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)

Learning a robust shape parameter for RBF approximation. - Maria Han Veiga; Fatemeh Nassajian Mojarrad (CoRR, 2024)