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michele.scarpiniti@uniroma1.it
Michele Scarpiniti
Professore Associato
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
michele.scarpiniti@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
Advances in hypercomplex adaptive filtering for 3D audio processing
Proc. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON)
2017
Apprendimento distribuito in scenari single-task e multi-task
Memorie ET2017
2017
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation
Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017)
2017
A semi-supervised random vector functional-link network based on the transductive framework
INFORMATION SCIENCES
2016
Steady-state performance of spline adaptive filter
IEEE TRANSACTIONS ON SIGNAL PROCESSING
2016
A nonlinear acoustic echo canceller with improved tracking capabilities
Recent Advances in Nonlinear Speech Processing
2016
Frequency-domain adaptive filtering in hypercomplex systems
Advances in Neural Networks - Computational Intelligence for ICT
2016
Benchmarking functional link expansions for audio classification tasks
Advances in Neural Networks - Computational Intelligence for ICT
2016
Design of hybrid nonlinear spline adaptive filters for active noise control
Proceedings of the 2016 International Joint Conference on Neural Networks
2016
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation
Proc. of the 26th IEEE International Workshop on Machine Learning for Signal Processing
2016
Diffusion spline adaptive filtering
Proc. of the 24th European Signal Processing Conference (EUSIPCO)
2016
Online sequential extreme learning machine with kernels
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2015
Nonlinear system identification using IIR spline adaptive filters
SIGNAL PROCESSING
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
Integration of audio and video clues for source localization by a robotic head
Advances in Neural Networks: Computational and Theoretical Issues
2015
Novel cascade spline architectures for the identification of nonlinear systems
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS
2015
Intelligent acoustic interfaces with multisensor acquisition for immersive reproduction
IEEE TRANSACTIONS ON MULTIMEDIA
2015
Microphone array based classification for security monitoring in unstructured environments
AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
2015
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ERC
PE6_11
PE7_7
KET
Big data & computing
Interessi di ricerca
Keywords
audio
adaptive signal processing
complex nonlinear filters
energy aware machine learning
fog computing (FC)
Progetti di Ricerca
DeepFog-2: Optimized distributed implementation of Deep Learning models over networked multitier Fog platforms for IoT stream applications
Vehicular Fog for energy-efficient QoS mining and dissemination of multimedia Big Data streams 2 (V-Fog2)
End-to-End Learning for 3D Acoustic Scene Analysis (ELeSA)
SoFT-2: Fog of Social IoT
Gruppi di ricerca
ISPAMM - Intelligent Signal Processing and MulitiMedia
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