Roberto Prevete

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	All	Since 2019
Citations	2001	1234
h-index	21	15
i10-index	40	27

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Andrea ApicellaPhD, Federico II UniversityVerified email at unina.it
Francesco IsgròAssociate Professor, Università degli Studi di Napoli Federico IIVerified email at unina.it
Francesco DonnarummaResearcher, Institute of Cognitive Sciences and Technologies (ISTC) - National Research CouncilVerified email at istc.cnr.it
pasquale arpaiaprofessore ordinario di misure, Università di Napoli Federico II, e associato CERNVerified email at unina.it
Bernardo MagniniResearcher, Fondazone Bruno Kessler - FBK, Trento, ItalyVerified email at fbk.eu
Matteo NegriFondazione Bruno Kessler - FBK-irst, Trento, ItalyVerified email at fbk.eu
Hristo TanevJoint Research Centre, European CommissionVerified email at ec.europa.eu
Guglielmo TamburriniPhilosophy of Science and Technology Professor, Universita' di Napoli Federico IIVerified email at unina.it
Matteo SantoroCamelot Biomedical Systems SrlVerified email at camelotbio.com
Giovanni PezzuloNational Research Council of Italy, RomeVerified email at istc.cnr.it
Massimo Giovannozzisenior physicist, CERNVerified email at cern.ch
Frederik F. Van der VekenPh.D. in Theoretical Physics, University of AntwerpVerified email at ua.ac.be
Renato CuocoloUniversity of SalernoVerified email at unina.it
Giovanni FuscoSmith Kettlewell Eye Research InstituteVerified email at ski.org
sebastiano stramagliaFull Professor in Applied Physics, University of Bari, ItalyVerified email at ba.infn.it
Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email daniele.marinazzo@ugent.beVerified email at ugent.be
Andrea d'AvellaUniversity of Rome Tor Vergata and IRCCS Fondazione Santa LuciaVerified email at hsantalucia.it
Fabian ChersiUniversity College LondonVerified email at ucl.ac.uk
Corrado SinigagliaProfessor of Philosophy of Science, University of MilanVerified email at unimi.it
Andrea de GiorgioCEO of Artificial Engineering | Engineer & Researcher in Artificial IntelligenceVerified email at degiorgio.info

Roberto Prevete

Associate Professor of Computer Science, DIETI, University of Naples Federico II

Verified email at unina.it - Homepage

Neural networks Deep Learning XAI computational neuroscience Artificial Intelligence


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A survey on modern trainable activation functions A Apicella, F Donnarumma, F Isgrò, R Prevete Neural Networks 138, 14-32, 2021	432	2021
Is it the right answer? exploiting web redundancy for answer validation B Magnini, M Negri, R Prevete, H Tanev proceedings of the 40th annual meeting of the association for computational …, 2002	252	2002
A wearable EEG instrument for real-time frontal asymmetry monitoring in worker stress analysis P Arpaia, N Moccaldi, R Prevete, I Sannino, A Tedesco IEEE Transactions on Instrumentation and Measurement 69 (10), 8335-8343, 2020	122	2020
A WordNet-based approach to named entites recognition B Magnini, M Negri, R Prevete, H Tanev COLING-02: SEMANET: Building and Using Semantic Networks, 2002	83	2002
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality A Montalto, S Stramaglia, L Faes, G Tessitore, R Prevete, D Marinazzo Neural networks 71, 159-171, 2015	80	2015
Machine learning for beam dynamics studies at the CERN Large Hadron Collider P Arpaia, G Azzopardi, F Blanc, G Bregliozzi, X Buffat, L Coyle, E Fol, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021	56	2021
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002. B Magnini, M Negri, R Prevete, H Tanev TREC, 2002	53	2002
A simple and efficient architecture for trainable activation functions A Apicella, F Isgro, R Prevete Neurocomputing 370, 1-15, 2019	47	2019
Multilingual Question/Answering: the DIOGENE System. B Magnini, M Negri, R Prevete, H Tanev TREC, 2001	43	2001
Comparing statistical and content-based techniques for answer validation on the web B Magnini, M Negri, R Prevete, H Tanev Proceedings of the VIII convegno AI* IA, 11-13, 2002	39	2002
Enhancement of SSVEPs classification in BCI-based wearable instrumentation through machine learning techniques A Apicella, P Arpaia, E De Benedetto, N Donato, L Duraccio, S Giugliano, ... IEEE Sensors Journal 22 (9), 9087-9094, 2022	37	2022
Virtuality in neural dynamical systems F Donnarumma, R Prevete, G Trautteur Poster presented at the International Conference on Morphological …, 2007	33	2007
Evidence for sparse synergies in grasping actions R Prevete, F Donnarumma, A d’Avella, G Pezzulo Scientific reports 8 (1), 616, 2018	31	2018
A programmer–interpreter neural network architecture for prefrontal cognitive control F Donnarumma, R Prevete, F Chersi, G Pezzulo International journal of neural systems 25 (06), 1550017, 2015	31	2015
The MAGIC-5 project: Medical applications on a grid infrastructure connection R Bellotti, S Bagnasco, U Bottigli, M Castellano, R Cataldo, E Catanzariti, ... IEEE Symposium Conference Record Nuclear Science 2004. 3, 1902-1906, 2004	29	2004
On the effects of data normalization for domain adaptation on EEG data A Apicella, F Isgrò, A Pollastro, R Prevete Engineering Applications of Artificial Intelligence 123, 106205, 2023	28	2023
Hierarchical and multiple hand action representation using temporal postural synergies G Tessitore, C Sinigaglia, R Prevete Experimental brain research 225, 11-36, 2013	28	2013
Conceptual design of a machine learning-based wearable soft sensor for non-invasive cardiovascular risk assessment P Arpaia, R Cuocolo, F Donnarumma, A Esposito, N Moccaldi, A Natalizio, ... Measurement 169, 108551, 2021	27	2021
Programming in the brain: a neural network theoretical framework F Donnarumma, R Prevete, G Trautteur Connection Science 24 (2-3), 71-90, 2012	26	2012
From motor to sensory processing in mirror neuron computational modelling G Tessitore, R Prevete, E Catanzariti, G Tamburrini Biological cybernetics 103, 471-485, 2010	24	2010

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