5 papers
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…
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…
Kolmogorov Arnold Network Autoencoder in Medicine
Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi
Deep learning neural networks architectures such Multi Layer Perceptrons (MLP) and Convolutional blocks still play a crucial role in nowadays research advancements. From a topologi…
ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration
Annamaria Defilippo, Ugo Lomoio, Barbara Puccio +2
Understanding and controlling diffusion processes in complex networks is critical across domains ranging from epidemiology to information science. Here, we present ExDiff, an inter…
DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution
Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi +1
Electrocardiogram (ECG) signals play a pivotal role in cardiovascular diagnostics, providing essential information on the electrical activity of the heart. However, the inherent no…