RAGUSA, EDOARDO

RAGUSA, EDOARDO  

100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni  

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Titolo Data di pubblicazione Autore(i) File
1-D Convolutional Neural Networks for Touch Modalities Classification 1-gen-2021 Gianoglio, C.; Ragusa, E.; Zunino, R.; Valle, M.
A Computationally Light Pruning Strategy for Single Layer Neural Networks based on Threshold Function 1-gen-2019 Ragusa, E; Gastaldo, P; Zunino, R
A Data-Driven Method for Reliability Estimation of Auxiliary Power Consumption Prediction in Commercial Electric Vehicles 1-gen-2022 Apicella, T.; Ragusa, E.; Canepa, A.; Gastaldo, P.
A hardware-aware neural architecture search algorithm targeting low-end microcontrollers 1-gen-2023 Garavagno, A. M.; Ragusa, E.; Frisoli, A.; Gastaldo, P.
A Pipelined Implementation of the n-mode Tensor-Matrix Multiplication 1-gen-2022 Ragusa, Edoardo; Gianoglio, Christian; Zunino, Rodolfo; Valle, Maurizio; Gastaldo, Paolo
A pose-based hand image classification method retrainable on embedded target devices 1-gen-2021 Canepa, A.; Ragusa, E.; Gianoglio, C.; Gastaldo, P.; Zunino, R.
Affordance segmentation of hand-occluded containers from exocentric images 1-gen-2023 Apicella, T.; Xompero, A.; Ragusa, E.; Berta, R.; Cavallaro, A.; Gastaldo, P.
Affordance segmentation using RGB-D sensors for application in portable embedded systems 1-gen-2022 Ragusa, Edoardo; PASTORINO GHEZZI, Matteo; Zunino, Rodolfo; Gastaldo, Paolo
Affordance Segmentation Using RGB-D Sensors for Application in Portable Embedded Systems 1-gen-2023 Ragusa, E.; Ghezzi, M. P.; Zunino, R.; Gastaldo, P.
An Affordance Detection Pipeline for Resource-Constrained Devices 1-gen-2021 Apicella, T.; Cavallaro, A.; Berta, R.; Gastaldo, P.; Bellotti, F.; Ragusa, E.
An hardware-aware image polarity detector enhanced with visual attention 1-gen-2020 Ragusa, E.; Apicella, T.; Gianoglio, C.; Zunino, R.; Gastaldo, P.
COAL: Convolutional Online Adaptation Learning for Opinion Mining 1-gen-2020 Chaturvedi, I.; Ragusa, E.; Gastaldo, P.; Cambria, E.
CONTAINER LOCALISATION AND MASS ESTIMATION WITH AN RGB-D CAMERA 1-gen-2022 Apicella, T.; Slavic, G.; Ragusa, E.; Gastaldo, P.; Marcenaro, L.
Data-Driven Video Grasping Classification for Low-Power Embedded System 1-gen-2019 Ragusa, E; Gianoglio, C; Gastaldo, P; Zunino, R
Design and Deployment of an Efficient Landing Pad Detector 1-gen-2023 Albanese, A.; Taccioli, T.; Apicella, T.; Brunelli, D.; Ragusa, E.
Detection-based video surveillance using Deep Neural Networks on STM32 microcontroller 1-gen-2022 Canepa, Alessio; Ragusa, Edoardo; Zunino, Rodolfo; Gastaldo, Paolo
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication 1-gen-2021 Gianoglio, C.; Ragusa, E.; Zunino, R.; Gastaldo, P.
Evaluating the Effect of Intrinsic Sensor Noise for Vibration Diagnostic in the Compressed Domain Using Convolutional Neural Networks 1-gen-2024 Zonzini, F.; Ragusa, E.; De Marchi, L.; Gastaldo, P.
Hardware Friendly Neural Network for the PD Classification 1-gen-2018 Gianoglio, C.; Guastavino, F.; Ragusa, E.; Bruzzone, A.; Torello, E.
Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via Regularization 1-gen-2020 Ragusa, E; Gastaldo, P; Gianoglio, C; Zunino, R