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cs.LG2026
scHFBiMamba: a bidirectional Mamba autoencoder for cardiac disease-state classification from single-nucleus RNA-seq data
Ugo Lomoio, Pietro Hiram Guzzi, Pierangelo Veltri
To evaluate whether a compact bidirectional state-space autoencoder improves joint classification of species, cell type, and disease state from single-nucleus RNA-sequencing profil…
cs.LG2026
A Usable GAN-Based Tool for Synthetic ECG Generation in Cardiac Amyloidosis Research
Francesco Speziale, Ugo Lomoio, Fabiola Boccuto +2
Cardiac amyloidosis (CA) is a rare and underdiagnosed infiltrative cardiomyopathy, and available datasets for machine-learning models are typically small, imbalanced and heterogene…