Simone Scardapane | Ricerc@Sapienza

Publications

Title	Published on	Year
Adaptive propagation graph convolutional network	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2020
Missing data imputation with adversarially-trained graph convolutional networks	NEURAL NETWORKS	2020
A non-parametric softmax for improving neural attention in time-series forecasting	NEUROCOMPUTING	2020
Reservoir computing approaches for representation and classification of multivariate time series	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2020
Compressing deep-quaternion neural networks with targeted regularisation	CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY	2020
Quaternion neural networks for 3D sound source localization in reverberant environments	IEEE International Workshop on Machine Learning for Signal Processing, MLSP	2020
Multikernel Activation Functions: Formulation and a Case Study	Recent Advances in Big Data and Deep Learning	2020
Separation of drum and bass from monaural tracks	Smart Innovation, Systems and Technologies	2019
Learning activation functions from data using cubic spline interpolation	Smart Innovation, Systems and Technologies	2019
A low-complexity linear-in-the-parameters nonlinear filter for distorted speech signals	Smart Innovation, Systems and Technologies	2019
Kafnets: Kernel-based non-parametric activation functions for neural networks	NEURAL NETWORKS	2019
Widely linear kernels for complex-valued Kernel activation functions	Proceedings 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)	2019
Quaternion convolutional neural networks for detection and localization of 3D sound events	Proceedings 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)	2019
A multimodal dense U-Net for accelerating multiple sclerosis MRI	IEEE International Workshop on Machine Learning for Signal Processing, MLSP	2019
Distributed stochastic nonconvex optimization and learning based on successive convex approximation	Conference Record - Asilomar Conference on Signals, Systems and Computers	2019
Multikernel Activation Functions: Formulation and a Case Study		2019
Privacy-preserving data mining for distributed medical scenarios	Multidisciplinary approaches to neural computing	2018
Stochastic training of neural networks via successive convex approximations	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2018
Combined sparse regularization for nonlinear adaptive filters	Proceedings of the 26th European Signal Processing Conference (EUSIPCO)	2018
Sparse functional link adaptive filter using an ℓ1-norm regularization	Proceedings - IEEE International Symposium on Circuits and Systems	2018

ERC

PE6_7
PE6_11

KET

Big data & computing

Interessi di ricerca

Keywords

machine learning

deep learning

Graph algorithms

Gruppi di ricerca

ISPAMM - Intelligent Signal Processing and MulitiMedia