Ugo Lomoio

According to our database, Ugo Lomoio authored at least 19 papers between 2022 and 2026.

Collaborative distances:

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

2026

Exdiff: a modular and explainable framework combining network simulation and graph neural networks for diffusion modelling.

Annamaria Defilippo, Ugo Lomoio, Barbara Puccio, Pierangelo Veltri, Pietro Hiram Guzzi

Soc. Netw. Anal. Min., December, 2026

From data to decisions: a modular platform for modelling and simulation of infectious disease diffusion in networks.

Francesco Branda, Annamaria Defilippo, Ugo Lomoio, Barbara Puccio, Massimo Ciccozzi, Fabio Scarpa, Pierangelo Veltri, Pietro Hiram Guzzi

BMC Medical Informatics Decis. Mak., December, 2026

A Usable GAN-Based Tool for Synthetic ECG Generation in Cardiac Amyloidosis Research.

Francesco Speziale, Ugo Lomoio, Fabiola Boccuto, Pierangelo Veltri, Pietro Hiram Guzzi

CoRR, January, 2026

Comparing Kolmogorov-Arnold Network Autoencoders versus MLP Autoencoders for the analysis of biomedical data.

Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi

J. Comput. Sci., 2026

Bidirectional Mamba-2 boosts EEG super-resolution via regression and diffusion.

Ugo Lomoio, Pietro Lió, Pietro Hiram Guzzi, Pierangelo Veltri

Bioinform., 2026

Usefulness of Wearable Devices for Monitoring Motor Activity in Patients with Early Myocardial Infarction.

Fabiola Boccuto, Ugo Lomoio, Salvatore De Rosa, Daniele Torella, Pierangelo Veltri, Pietro Hiram Guzzi

Algorithms, 2026

2025

E-ABIN: an Explainable module for Anomaly detection in BIological Networks.

Ugo Lomoio, Tommaso Mazza, Pierangelo Veltri, Pietro Hiram Guzzi

Dataset, September, 2025

Kolmogorov Arnold Network Autoencoder in Medicine.

Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi

CoRR, July, 2025

E-ABIN: an Explainable module for Anomaly detection in BIological Networks.

Ugo Lomoio, Tommaso Mazza, Pierangelo Veltri, Pietro Hiram Guzzi

CoRR, June, 2025

ExDiff: A Framework for Simulating Diffusion Processes on Complex Networks with Explainable AI Integration.

Annamaria Defilippo, Ugo Lomoio, Barbara Puccio, Pierangelo Veltri, Pietro Hiram Guzzi

CoRR, June, 2025

Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution.

Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Liò

Artif. Intell. Medicine, 2025

2024

DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution.

Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Lio'

CoRR, 2024

Anomaly Detection in Individual Specific Networks through Explainable Generative Adversarial Attributed Networks.

Pietro Hiram Guzzi, Ugo Lomoio, Tommaso Mazza, Pierangelo Veltri

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

GTExVisualizer: a web platform for supporting ageing studies.

Pietro Hiram Guzzi, Ugo Lomoio, Pierangelo Veltri

Bioinform., May, 2023

Structural analysis of SARS-CoV-2 Spike protein variants through graph embedding.

Pietro Hiram Guzzi, Ugo Lomoio, Barbara Puccio, Pierangelo Veltri

Netw. Model. Anal. Health Informatics Bioinform., 2023

Annotating omics Data with sex and age of samples: Enabling powerful omics studies.

Pietro Hiram Guzzi, Mattia Cannistrà, Raffaele Giancotti, Ugo Lomoio, Barbara Puccio, Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Annotating Protein Structures for Understanding SARS-CoV-2 Interactome.

Barbara Puccio, Ugo Lomoio, Luisa Di Paola, Pietro Hiram Guzzi, Pierangelo Veltri

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

NOMA-DB: a framework for management and analysis of ageing-related gene-expression data.

Pietro Hiram Guzzi, Ugo Lomoio, Rocco Scicchitano, Pierangelo Veltri

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A machine-learning based tool for bioimages managing and annotation.

Raffaele Giancotti, Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Patrizia Vizza

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022