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 Design Strategy for the Efficient Implementation of Random Basis Neural Networks on Resource-Constrained Devices 1-gen-2020 Ragusa, E.; Gianoglio, C.; Zunino, R.; Gastaldo, P.
A digital implementation of extreme learning machines for resource-constrained devices 1-gen-2018 Ragusa, Edoardo; Gianoglio, Christian; Gastaldo, Paolo; Zunino, Rodolfo
A hardware-aware neural architecture search algorithm targeting low-end microcontrollers 1-gen-2023 Garavagno, A. M.; Ragusa, E.; Frisoli, A.; Gastaldo, P.
A Novel Learning Strategy for the Trade-Off between Accuracy and Computational Cost: A Touch Modalities Classification Case Study 1-gen-2022 Gianoglio, C.; Ragusa, E.; Gastaldo, P.; Valle, M.
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.
A survey on deep learning in image polarity detection: Balancing generalization performances and computational costs 1-gen-2019 Ragusa, E.; Cambria, E.; Zunino, R.; Gastaldo, P.
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.
Affordance segmentation using tiny networks for sensing systems in wearable robotic devices 1-gen-2023 Ragusa, E.; Dosen, S.; 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 approximate randomization-based neural network with dedicated digital architecture for energy-constrained devices 1-gen-2022 Ragusa, Edoardo; Gianoglio, Christian; Zunino, Rodolfo; Gastaldo, Paolo
An hardware-aware image polarity detector enhanced with visual attention 1-gen-2020 Ragusa, E.; Apicella, T.; Gianoglio, C.; Zunino, R.; Gastaldo, P.
Balancing computational complexity and generalization ability: A novel design for ELM 1-gen-2020 Ragusa, E.; Gastaldo, P.; Zunino, R.; Cambria, E.
Bayesian network based extreme learning machine for subjectivity detection 1-gen-2018 Chaturvedi, Iti; Ragusa, Edoardo; Gastaldo, Paolo; Zunino, Rodolfo; Cambria, Erik
COAL: Convolutional Online Adaptation Learning for Opinion Mining 1-gen-2020 Chaturvedi, I.; Ragusa, E.; Gastaldo, P.; Cambria, E.