Matteo Tortora

According to our database, Matteo Tortora authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Machine learning predicts pulmonary Long Covid sequelae using clinical data.

Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì

BMC Medical Informatics Decis. Mak., December, 2024

Towards AI-driven Next Generation Personalized Healthcare and Well-being.

Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Wenting Chen, Ermanno Cordelli, Omar Coser, Arianna Francesconi, Leonardo Furia, Valerio Guarrasi, Giulio Iannello, Clemente Lauretti, Guido Manni, Giustino Marino, Domenico Paolo, Filippo Ruffini, Linlin Shen, Rosa Sicilia, Paolo Soda, Christian Tamantini, Matteo Tortora, Zhuoru Wu, Loredana Zollo

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins.

Carolina Adornato, Cecilia Assolito, Ermanno Cordelli, Francesco Di Feola, Valerio Guarrasi, Giulio Iannello, Lorenzo Marcoccia, Elena Mulero Ayllon, Rebecca Restivo, Aurora Rofena, Rosa Sicilia, Paolo Soda, Matteo Tortora, Lorenzo Tronchin

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting.

Matteo Tortora, Francesco Conte, Gianluca Natrella, Paolo Soda

CoRR, 2023

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy.

Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Lorenzo Nibid, Edy Ippolito, Giuseppe Perrone, Sara Ramella, Paolo Soda

IEEE Access, 2023

Sustainable AI: inside the deep, alongside the green.

Francesco Conte, Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Rosa Sicilia, Paolo Soda, Matteo Tortora

Proceedings of the Italia Intelligenza Artificiale, 2023

Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning.

Leonardo Furia, Matteo Tortora, Paolo Soda, Rosa Sicilia

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

2022

PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction.

Matteo Tortora, Ermanno Cordelli, Paolo Soda

IEEE Access, 2022

2021

Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma.

Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Marianna Miele, Paolo Matteucci, Giulio Iannello, Sara Ramella, Paolo Soda

Artif. Intell. Medicine, 2021

Exploring Deep Pathomics in Lung Cancer.

Charles Z. Liu, Rosa Sicilia, Matteo Tortora, Ermanno Cordelli, Lorenzo Nibid, Giovanna Sabarese, Giuseppe Perrone, Michele Fiore, Sara Ramella, Paolo Soda

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy.

Ermanno Cordelli, Matteo Tortora, Rosa Sicilia, Paolo Soda

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020