World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7072
World Ranking
6942
National Ranking
233

Overview

Aurelio Uncini is affiliated with Sapienza University of Rome in Italy. Their research primarily falls within the broad field of Computer Science with a significant focus on subfields such as Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, and Media Technology.

The scientist's work covers a range of main topics including:

  • Music and Audio Processing
  • Speech and Audio Processing
  • Image and Signal Denoising Methods
  • Music Technology and Sound Studies
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis

Recent notable papers authored or co-authored by Aurelio Uncini include:

  • "Missing data imputation with adversarially-trained graph convolutional networks" (2020), published in Neural Networks
  • "Adaptive Propagation Graph Convolutional Network" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Complex-valued neural networks with nonparametric activation functions" (2020), published in IRIS Research product catalog (Sapienza University of Rome)
  • "FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning" (2021), published in IEEE Transactions on Artificial Intelligence
  • "Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring" (2020), published in Journal of Computing in Civil Engineering

Their frequent co-authors include:

  • Danilo Comminiello
  • Simone Scardapane
  • Eleonora Grassucci
  • Michele Scarpiniti
  • Jary Pomponi

Aurelio Uncini's publications have appeared in several prominent venues, including:

  • arXiv (Cornell University)
  • IRIS Research product catalog (Sapienza University of Rome)
  • Neural Networks
  • Neurocomputing
  • 2022 International Joint Conference on Neural Networks (IJCNN)

In addition to journal and conference papers, the scientist has one book published with Springer Nature titled Digital Audio Processing Fundamentals (2022).

Best Publications

  • Group sparse regularization for deep neural networks

    Simone Scardapane;Danilo Comminiello;Amir Hussain;Aurelio Uncini

  • On-line learning algorithms for locally recurrent neural networks

    P. Campolucci;A. Uncini;F. Piazza;B.D. Rao

  • Applications of simulated annealing for the design of special digital filters

    N. Benvenuto;M. Marchesi;A. Uncini

  • Nonlinear spline adaptive filtering

    Michele Scarpiniti;Danilo Comminiello;Raffaele Parisi;Aurelio Uncini

  • Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation

    D. Comminiello;M. Scarpiniti;L. A. Azpicueta-Ruiz;J. Arenas-Garcia

  • Learning and approximation capabilities of adaptive spline activation function neutral networks

    Lorenzo Vecci;Francesco Piazza;Aurelio Uncini

  • Fast neural networks without multipliers

    M. Marchesi;G. Orlandi;F. Piazza;A. Uncini

  • Why should we add early exits to neural networks

    Simone Scardapane;Michele Scarpiniti;Enzo Baccarelli;Aurelio Uncini

  • Missing data imputation with adversarially-trained graph convolutional networks

    Indro Spinelli;Simone Scardapane;Aurelio Uncini

  • Multilayer feedforward networks with adaptive spline activation function

    S. Guarnieri;F. Piazza;A. Uncini

  • Online Sequential Extreme Learning Machine With Kernels

    Simone Scardapane;Danilo Comminiello;Michele Scarpiniti;Aurelio Uncini

  • Distributed learning for Random Vector Functional-Link networks

    Simone Scardapane;Dianhui Wang;Massimo Panella;Aurelio Uncini

  • FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning

    Unknown

  • Fundamentals of Adaptive Signal Processing

    Aurelio Uncini

  • Neural networks with digital LUT activation functions

    F. Piazza;A. Uncini;M. Zenobi

  • Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization

    A. Uncini;L. Vecci;P. Campolucci;F. Piazza

  • Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

    Michele Scarpiniti;Danilo Comminiello;Raffaele Parisi;Aurelio Uncini

  • Prediction of telephone calls load using Echo State Network with exogenous variables

    Filippo Maria Bianchi;Simone Scardapane;Aurelio Uncini;Antonello Rizzi

  • Adaptive Propagation Graph Convolutional Network

    Indro Spinelli;Simone Scardapane;Aurelio Uncini

  • Complex-Valued Neural Networks With Nonparametric Activation Functions

    Simone Scardapane;Steven Van Vaerenbergh;Amir Hussain;Aurelio Uncini

  • Kafnets: Kernel-based non-parametric activation functions for neural networks.

    Simone Scardapane;Steven Van Vaerenbergh;Simone Totaro;Aurelio Uncini

  • Novel Cascade Spline Architectures for the Identification of Nonlinear Systems

    Michele Scarpiniti;Danilo Comminiello;Raffaele Parisi;Aurelio Uncini

  • Complex-valued Neural Networks with Non-parametric Activation Functions.

    Simone Scardapane;Steven Van Vaerenbergh;Amir Hussain;Aurelio Uncini

Frequent Co-Authors

Francesco Piazza
Francesco Piazza Marche Polytechnic University
Michele Marchesi
Michele Marchesi University of Cagliari
Enzo Baccarelli
Enzo Baccarelli Sapienza University of Rome
Amir Hussain
Amir Hussain Edinburgh Napier University
Dianhui Wang
Dianhui Wang La Trobe University
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
F. Filippetti
F. Filippetti University of Bologna
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Giovanni Franceschini
Giovanni Franceschini University of Modena and Reggio Emilia
Romano Fantacci
Romano Fantacci University of Florence

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