Simone Scardapane

Pubblicazioni

Titolo Pubblicato in Anno
Distributed reservoir computing with sparse readouts IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 2016
Distributed spectral clustering based on Euclidean distance matrix completion Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2016) 2016
A comparison of consensus strategies for distributed learning of random vector functional-link networks Advances in Neural Networks: Computational Intelligence for ICT 2016
Diffusion spline adaptive filtering Proc. of the 24th European Signal Processing Conference (EUSIPCO) 2016
Parallel and distributed training of neural networks via successive convex approximation IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016
Online sequential extreme learning machine with kernels IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2015
Distributed learning for random vector functional-link networks INFORMATION SCIENCES 2015
Improving nonlinear modeling capabilities of functional link adaptive filters NEURAL NETWORKS 2015
Significance-based pruning for reservoir’s neurons in echo state networks Advances in Neural Networks: Computational and Theoretical Issues 2015
Online selection of functional links for nonlinear system identification Advances in Neural Networks: Computational and Theoretical Issues 2015
Microphone array based classification for security monitoring in unstructured environments AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2015
Prediction of telephone calls load using Echo State Network with exogenous variables NEURAL NETWORKS 2015
Functional Link Expansions for Nonlinear Modeling of Audio and Speech Signals Proc. of 2015 International Joint Conference on Neural Networks (IJCNN2015) 2015
Learning from distributed data sources using random vector functional-link networks Procedia Computer SciencePROCEDIA COMPUTER SCIENCE 2015
Distributed music classification using random vector functional-link nets 2015

ERC

  • PE6_7
  • PE6_11

KET

  • Big data & computing

Interessi di ricerca

My research focuses on machine and deep learning applied to audio, images, and graphs, and their deployment in distributed and decentralized environments, with a focus on edge machine learning, continual learning, and more. You can read more on my website: http://sscardapane.it/.

Keywords

machine learning
deep learning
Graph algorithms

Gruppi di ricerca

ISPAMM - Intelligent Signal Processing and MulitiMedia

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma