Publications by authors named "Simone Scardapane"

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Micrographia in Parkinson's Disease: Automatic Recognition through Artificial Intelligence.
Francesco Asci, Gaetano Saurio, Giulia Pinola, Marco Falletti, Alessandro Zampogna, Simone Scardapane

Mov Disord Clin Pract· December 2025

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NACHOS: Neural Architecture Search for Hardware-Constrained Early-Exit Neural Networks.
Matteo Gambella, Jary Pomponi, Simone Scardapane, Manuel Roveri

IEEE Trans Neural Netw Learn Syst· October 2025

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Adaptive token selection for scalable point cloud transformers.
Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane

Neural Netw· August 2025

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Mixture-of-experts graph transformers for interpretable particle collision detection.
Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Simone Scardapane

Sci Rep· July 2025

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Bringing AI to Clinicians: Simplifying Pleural Effusion Cytology Diagnosis with User-Friendly Models.
Enrico Giarnieri, Elisabetta Carico, Stefania Scarpino, Alberto Ricci, Pierdonato Bruno, Simone Scardapane

Diagnostics (Basel)· May 2025

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Spatio-temporal transformers for decoding neural movement control.
Benedetta Candelori, Giampiero Bardella, Indro Spinelli, Surabhi Ramawat, Pierpaolo Pani, Simone Scardapane

J Neural Eng· February 2025

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Position: Topological Deep Learning is the New Frontier for Relational Learning.
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Simone Scardapane

Proc Mach Learn Res· July 2024

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A Meta-Learning Approach for Training Explainable Graph Neural Networks.
Indro Spinelli, Simone Scardapane, Aurelio Uncini

IEEE Trans Neural Netw Learn Syst· April 2024

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Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks.
Indro Spinelli, Riccardo Bianchini, Simone Scardapane

Neural Netw· October 2023

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Towards Artificial Intelligence Applications in Next Generation Cytopathology.
Enrico Giarnieri, Simone Scardapane

Biomedicines· August 2023

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Continual learning with invertible generative models.
Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neural Netw· July 2023

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Handwriting Declines With Human Aging: A Machine Learning Study.
Francesco Asci, Simone Scardapane, Alessandro Zampogna, Valentina D'Onofrio, Lucia Testa

Front Aging Neurosci· May 2022

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Structured Ensembles: An approach to reduce the memory footprint of ensemble methods.
Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neural Netw· December 2021

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A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models.
Jary Pomponi, Simone Scardapane, Aurelio Uncini

Entropy (Basel)· December 2021

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Adaptive Propagation Graph Convolutional Network.
Indro Spinelli, Simone Scardapane, Aurelio Uncini

IEEE Trans Neural Netw Learn Syst· October 2021

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Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.
Filippo Maria Bianchi, Simone Scardapane, Sigurd Lokse, Robert Jenssen

IEEE Trans Neural Netw Learn Syst· May 2021

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Missing data imputation with adversarially-trained graph convolutional networks.
Indro Spinelli, Simone Scardapane, Aurelio Uncini

Neural Netw· September 2020

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Kafnets: Kernel-based non-parametric activation functions for neural networks.
Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini

Neural Netw· February 2019

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Stochastic Training of Neural Networks via Successive Convex Approximations.
Simone Scardapane, Paolo Di Lorenzo

IEEE Trans Neural Netw Learn Syst· October 2018

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Bayesian Random Vector Functional-Link Networks for Robust Data Modeling.
Simone Scardapane, Dianhui Wang, Aurelio Uncini

IEEE Trans Cybern· July 2018

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Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion.
Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella

IEEE Trans Neural Netw Learn Syst· November 2017

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A framework for parallel and distributed training of neural networks.
Simone Scardapane, Paolo Di Lorenzo

Neural Netw· July 2017

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Distributed semi-supervised support vector machines.
Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini

Neural Netw· August 2016

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A decentralized training algorithm for Echo State Networks in distributed big data applications.
Simone Scardapane, Dianhui Wang, Massimo Panella

Neural Netw· June 2016

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Prediction of telephone calls load using Echo State Network with exogenous variables.
Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian

Neural Netw· November 2015

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