SCARDAPANE, SIMONE

SCARDAPANE, SIMONE  

DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI  

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A calibrated multiexit neural network for detecting urothelial cancer cells 2021 Lilli, L.; Giarnieri, E.; Scardapane, S.
A comparison of consensus strategies for distributed learning of random vector functional-link networks 2016 Fierimonte, Roberto; Scardapane, Simone; Panella, Massimo; Uncini, Aurelio
A decentralized training algorithm for Echo State Networks in distributed big data applications 2016 Scardapane, Simone; Wang, Dianhui; Panella, Massimo
A framework for adaptive real-time loudness control 2013 Alemanno, Andrea; Scardapane, Simone; Comminiello, Danilo; Uncini, Aurelio; Travaglini, Alessandro
A framework for parallel and distributed training of neural networks 2017 Scardapane, Simone; DI LORENZO, Paolo
A low-complexity linear-in-the-parameters nonlinear filter for distorted speech signals 2019 Comminiello, Danilo; Scarpiniti, Michele; Scardapane, Simone; Parisi, Raffaele; Uncini, Aurelio
A meta-learning approach for training explainable graph neural networks 2022 Spinelli, I.; Scardapane, S.; Uncini, A.
A multimodal deep network for the reconstruction of T2W MR images 2021 Falvo, A.; Comminiello, D.; Scardapane, S.; Scarpiniti, M.; Uncini, A.
A multimodal dense U-Net for accelerating multiple sclerosis MRI 2019 Falvo, A.; Comminiello, D.; Scardapane, S.; Scarpiniti, M.; Uncini, A.
A new class of efficient adaptive filters for online nonlinear modeling 2023 Comminiello, Danilo; Nezamdoust, Alireza; Scardapane, Simone; Scarpiniti, Michele; Hussain, Amir; Uncini, Aurelio
A non-parametric softmax for improving neural attention in time-series forecasting 2020 Totaro, S.; Hussain, A.; Scardapane, S.
A nonlinear acoustic echo canceller with improved tracking capabilities 2016 Comminiello, Danilo; Scarpiniti, Michele; Scardapane, Simone; Parisi, Raffaele; Uncini, Aurelio
A preliminary study on Transductive Extreme Learning Machines 2014 Scardapane, Simone; Comminiello, Danilo; Scarpiniti, Michele; Uncini, Aurelio
A probabilistic re-intepretation of confidence scores in multi-exit models 2022 Pomponi, J.; Scardapane, S.; Uncini, A.
A semi-supervised random vector functional-link network based on the transductive framework 2016 Scardapane, Simone; Comminiello, Danilo; Scarpiniti, Michele; Uncini, Aurelio
A wide multimodal dense U-net for fast magnetic resonance imaging 2021 Falvo, A.; Comminiello, D.; Scardapane, S.; Scarpiniti, M.; Uncini, A.
Adaptive propagation graph convolutional network 2020 Spinelli, I; Scardapane, S; Uncini, A
Advances in biologically inspired reservoir computing 2017 Scardapane, S.; Butcher, J. B.; Bianchi, F. M.; Malik, Z. K.
An Effective Criterion for Pruning Reservoir’s Connections in Echo State Networks 2014 Scardapane, Simone; G., Nocco; Comminiello, Danilo; Scarpiniti, Michele; Uncini, Aurelio
An interpretable graph-based image classifier 2014 Bianchi, FILIPPO MARIA; Scardapane, Simone; Livi, Lorenzo; Uncini, Aurelio; Rizzi, Antonello