Michele Calabretta

16 papers B 2Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Advanced Knowledge Distillation Pipeline with Dynamic Weighted-Smoothed Loss for a Robust Deep Network Deployment in Resource-Constrained Embedded Systems. MetroXRAINE Francesco Rundo, Giulia Castagnolo, Carmelo Pino, Massimo Orazio Spata, Angelo Alberto Messina, Michele Calabretta, Sebastiano Battiato
2025	—	`conf`	Advanced Non-Local Pipeline for Domain-Adapted Intelligent Power Device Defects Analysis for a Robust Traction Inverter in Next Generation Electric Cars. MetroXRAINE Carmelo Pino, Francesco Rundo, Giulia Castagnolo, Massimo Orazio Spata, Angelo Alberto Messina, Michele Calabretta, Sebastiano Battiato
2025	B	`conf`	Attention-Enhanced Convolutional Deep Architecture with Adaptive Jacobian Regularization for Joint Multi-Modal Optical and X-Ray Screening of Silicon-Carbide Power Devices. IJCNN Francesco Rundo, Carmelo Pino, Giulia Castagnolo, Angelo Alberto Messina, Michele Calabretta, Sebastiano Battiato
2025	J	`jnl`	Hyperbolic Deep Learning System for Intelligent Gate-Driving and Health Monitoring of Silicon-Carbide Power MOSFETs. IEEE Open J. Comput. Soc. Francesco Rundo, Angelo Alberto Messina, Michele Fiore, Michele Calabretta, Pasquale Coscia, Sebastiano Battiato
2025	—	`conf`	Investigation into the Aging Mechanisms of a SiC-Based Power MOSFET by Thermal and Thermomechanical Analysis. MetroAutomotive Moreno d'Ambrosio, Chiara Tripodi, Francesca Garescì, Daniele Cosio, Domenico Bonanno, Francesco Rundo, Angelo Alberto Messina, Antonio Imbruglia, Michele Calabretta, Salvatore Patanè
2024	—	`conf`	Deep Learning for Risk Assessment in Automotive Applications. MetroAutomotive Francesco Rundo, Michele Calabretta, Alessandro Sitta, Michael Sebastian Rundo, Sebastiano Battiato, Angelo Alberto Messina
2024	—	`conf`	Intelligent Electrical Assessment of Silicon and Silicon Carbide Wafers for Power Applications in Automotive Field. MetroAutomotive Francesco Rundo, Michele Calabretta, Michael Sebastian Rundo, Giulia Castagnolo, Carmelo Pino, Sebastiano Battiato, Angelo Alberto Messina
2023	J	`jnl`	Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices. CoRR Massimo Orazio Spata, Sebastiano Battiato, Alessandro Ortis, Francesco Rundo, Michele Calabretta, Carmelo Pino, Angelo Alberto Messina
2023	J	`jnl`	Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules. IEEE Trans. Intell. Veh. Carmelo Pino, Alessandro Sitta, Giulia Castagnolo, Angelo Alberto Messina, Salvatore Coffa, Michele Calabretta, Fabio Scotti, Angelo Genovese, Vincenzo Piuri, Concetto Spampinato, Francesco Rundo
2022	B	`conf`	Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System. IJCNN Francesco Rundo, Angelo Alberto Messina, Michele Calabretta, Matteo Dilonardo, Salvatore Coffa, Concetto Spampinato
2022	—	`conf`	Identification of Interface States responsible for VTH Hysteresis in packaged SiC MOSFETs. IRPS Marcello Cioni, Patrick Fiorenza, Fabrizio Roccaforte, Mario Saggio, Salvatore Cascino, Angelo Alberto Messina, Vincenzo Vinciguerra, Michele Calabretta, Alessandro Chini
2021	J	`jnl`	Power Semiconductor Devices and Packages: Solder Mechanical Characterization and Lifetime Prediction. IEEE Access Michele Calabretta, Alessandro Sitta, Salvatore Massimo Oliveri, Gaetano Sequenzia
2021	J	`jnl`	Silicon Carbide Multi-Chip Power Module for Traction Inverter Applications: Thermal Characterization and Modeling. IEEE Access Michele Calabretta, Alessandro Sitta, Salvatore Massimo Oliveri, Gaetano Sequenzia
2019	—	`conf`	Fast transient thermomechanical stress to set a pressure-assisted sintering process. PRIME Marco Santopá, Sebastiano Russo, Marco Torrisi, Marco Renna, Alessandro Sitta, Michele Calabretta
2019	—	`conf`	Power Packages Interconnections for High Reliability Automotive Applications. ESSDERC Michele Calabretta, Marco Renna, Vincenzo Vinciguerra, Angelo Alberto Messina
2018	—	`conf`	Numerical approach to predict power device reliability. DTIS Alessandro Sitta, Sebastiano Russo, Gaetano Bazzano, Daniela Cavallaro, Giuseppe Greco, Michele Calabretta