SCARDAPANE, SIMONE
SCARDAPANE, SIMONE
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
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
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 |