Search Results - "Mocerino, Luca"

AxP: A HW-SW Co-Design Pipeline for Energy-Efficient Approximated ConvNets via Associative Matching by Mocerino, Luca, Calimera, Andrea

“…The reduction in energy consumption is key for deep neural networks (DNNs) to ensure usability and reliability, whether they are deployed on low-power…”
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Acquired hemophilia A in a case of purple urine bag syndrome by Gammaldi, Vittoria, Guida, Anna, Bologna, Carolina, De Sena, Antonietta, Lugarà, Marina, De Luca, Claudio, Granato Corigliano, Fabio, Guerra, Mariavittoria, Oliva, Gabriella, Mocerino, Luca, Zarrella, Aquilino Flavio, Coppola, Maria Gabriella, Nuzzo, Vincenzo, Tirelli, Paolo, Madonna, Pasquale

“…The rare hemorrhagic disorder known as acquired hemophilia A (AHA) is brought on by the spontaneous development of autoantibodies against coagulation factor…”
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Fast and Accurate Inference on Microcontrollers With Boosted Cooperative Convolutional Neural Networks (BC-Net) by Mocerino, Luca, Calimera, Andrea

“…Arithmetic precision scaling is mandatory to deploy Convolutional Neural Networks (CNNs) on resource-constrained devices such as microcontrollers (MCUs), and…”
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Dynamic ConvNets on Tiny Devices via Nested Sparsity by Grimaldi, Matteo, Mocerino, Luca, Cipolletta, Antonio, Calimera, Andrea

“…This work introduces a new training and compression pipeline to build Nested Sparse ConvNets, a class of dynamic Convolutional Neural Networks (ConvNets)…”
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Energy-Efficient Convolutional Neural Networks via Recurrent Data Reuse by Mocerino, Luca, Tenace, Valerio, Calimera, Andrea

“…Deep learning (DL) algorithms have substantially improved in terms of accuracy and efficiency. Convolutional Neural Networks (CNNs) are now able to outperform…”
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587 LEFT ATRIAL APPENDAGE OCCLUSION: A REAL SOLUTION TO CARDIOEMBOLIC RISK OF ATRIAL FIBRILLATION? by Pucci, Martina, Mocerino, Luca, Gammaldi, Vittoria, Capece, Luca Maria, Iacono, Marina, Fedele, Teresa, Esposito, Roberta

“…Abstract 82-year-old woman comes to our clinical observation for worsening exertional dyspnea, with ECG evidence of atrial fibrillation (AF) with high…”
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563 THE ROLE OF ECHOCARDIOGRAPHY FOR MANAGEMENT OF IBRUTINIB RELATED ATRIAL FIBRILLATION: ONE MORE SUPPORT OVER CLINICAL EVALUATION by Gammaldi, Vittoria, Pucci, Martina, Mocerino, Luca, Iannotta, Raffaella, Giannattasio, Maria Luisa, Tartaglia, Benedetta, Iadevaia, Velia, Fierarossa, Carmine, Chiurazzi, Federico, Esposito, Roberta

“…Abstract Background Ibrutinib is a Bruton tyrosine kinase inhibitor, approved in the last few years for treatment as primary option for all subsets of chronic…”
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CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs by Mocerino, Luca, Calimera, Andrea

“…Fixed-point quantization and binarization are two reduction methods adopted to deploy Convolutional Neural Networks (CNN) on end-nodes powered by low-power…”
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TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks by Mocerino, Luca, Calimera, Andrea

“…Binarization is an attractive strategy for implementing lightweight Deep Convolutional Neural Networks (CNNs). Despite the unquestionable savings offered,…”
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CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs by Mocerino, Luca, Calimera, Andrea

“…2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS) Fixed-point quantization and binarization are two reduction methods…”
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TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks by Mocerino, Luca, Calimera, Andrea

“…Binarization is an attractive strategy for implementing lightweight Deep Convolutional Neural Networks (CNNs). Despite the unquestionable savings offered,…”
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Dynamic ConvNets on Tiny Devices via Nested Sparsity by Grimaldi, Matteo, Mocerino, Luca, Cipolletta, Antonio, Calimera, Andrea

“…This work introduces a new training and compression pipeline to build Nested Sparse ConvNets, a class of dynamic Convolutional Neural Networks (ConvNets)…”
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AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets by Mocerino, Luca, Rizzo, Roberto G., Peluso, Valentino, Calimera, Andrea, Macii, Enrico

“…Convolutional Neural Networks (ConvNets) are trained offline using the few available data and may therefore suffer from substantial accuracy loss when ported…”
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Adaptive Test-Time Augmentation for Low-Power CPU by Mocerino, Luca, Rizzo, Roberto G, Peluso, Valentino, Calimera, Andrea, Macii, Enrico

“…Convolutional Neural Networks (ConvNets) are trained offline using the few available data and may therefore suffer from substantial accuracy loss when ported…”
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