SASSI, ROBERTO
SASSI, ROBERTO
Dipartimento di Informatica Giovanni Degli Antoni
Uncertainty estimation of deep learning models for atrial fibrillation detection from Holter recordings: A benchmark study
2026 M.M. Rahman, M.W. Rivolta, F. Badilini, R. Sassi
Transforming Normal ECG to Myocardial Infarction Ones using Invertible Conditional GANs
2025 S. Battiston, R. Sassi, M.W. Rivolta
Speech-Based Depression Recognition in Hikikomori Patients Undergoing Cognitive Behavioral Therapy
2025 S.S. Leal, S. Ntalampiras, M.G. Rossetti, A. Trabacca, M. Bellani, R. Sassi
Bandpass Filters: A Penalized Least-Squares Optimization With $\boldsymbol \ell _{1}$-Norm Regularization Design
2025 A. Kheirati Roonizi, R. Sassi
Exploration on Bubble Entropy
2025 G. Manis, D. Platakis, R. Sassi
Biometric Privacy
2025 S. Cimato, R. Sassi, F. Scotti
A neural approach to the Turing Test: The role of emotions
2025 R. Pizzi, H. Quan, M. Matteucci, S. Mentasti, R. Sassi
F-wave sway in paroxysmal and chronic atrial fibrillation
2025 A. Sbrollini, M.W. Rivolta, P. Van Dam, E. Viani, M. Morettini, R. Sassi, L. Burattini, E.T. Locati
Residual-attention deep learning model for atrial fibrillation detection from Holter recordings
2025 M.M. Rahman, M.W. Rivolta, M. Vaglio, P. Maison-Blanche, F. Badilini, R. Sassi
Centrality Measures from Directed Network Mapping Identify Reentries Suggesting Different Mechanisms of Atrial Flutter
2024 D. Coluzzi, M.W. Rivolta, M. Mancini, L. Anna Unger, A. Luik, A. Loewe, R. Sassi
Phase-Rectified Signal Variance Series and its Values for a Stationary Gaussian Process
2024 M.W. Rivolta, R. Sassi
Evidential Deep Learning Model for Atrial Fibrillation Detection from Holter Recordings
2024 M. Moklesur Rahman, M.W. Rivolta, P. Maison Blanche, F. Badilini, R. Sassi
Identification of Electrocardiographic Patterns Related to Mortality with COVID-19
2024 A. Sbrollini, C. Leoni, M. Morettini, M.W. Rivolta, C.A. Swenne, L. Mainardi, L. Burattini, R. Sassi
Sample Entropy Computation on Signals with Missing Values
2024 G. Manis, D. Platakis, R. Sassi
Left atrial spatial entropy: a novel tool for electrophysiological substrate characterization in atrial fibrillation
2024 L. Gigli, A. Preda, D. Coluzzi, M. Sartore, M. Vila, M. Carbonaro, M. Baroni, M. Varrenti, S. Vargiu, F. Guarracini, A. Frontera, L. Pannone, G.B. Chierchia, C. DE ASMUNDIS, P. Mazzone, R. Sassi
Early warning of atrial fibrillation using deep learning
2024 M. Gavidia, H. Zhu, A.N. Montanari, J. Fuentes, C. Cheng, S. Dubner, M. Chames, P. Maison-Blanche, M.M. Rahman, R. Sassi, F. Badilini, Y. Jiang, S. Zhang, H. Zhang, H. Du, B. Teng, Y. Yuan, G. Wan, Z. Tang, X. He, X. Yang, J. Goncalves
Adversarial Multitask Learning Reduces the Correlation between Age and Deep Learning Predictions of Myocardial Infarction from Electrocardiograms
2024 S. Ibrahimi, M.W. Rivolta, R. Sassi
Evaluating the Quality of CycleGAN Generated ECG Data for Myocardial Infarction Classification
2024 S. Battiston, R. Sassi, M.W. Rivolta
ECG signal decomposition using Fourier analysis
2024 A. Kheirati Roonizi, R. Sassi
Minimal Preprocessing of ECG Signals for Deep Learning-Based Biometric Systems
2024 Z. Mizgalewicz, C.R. Cuenca, M.W. Rivolta, R.D. Labati, F. Scotti, V. Piuri, R. Sassi