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Roberto Prevete
Roberto Prevete
Assistant Professor of Computer Science, DIETI, University of Naples Federico II
unina.it üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
A survey on modern trainable activation functions
A Apicella, F Donnarumma, F Isgrò, R Prevete
Neural Networks 138, 14-32, 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
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
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
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
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.
B Magnini, M Negri, R Prevete, H Tanev
TREC, 2002
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
Multilingual Question/Answering: the DIOGENE System.
B Magnini, M Negri, R Prevete, H Tanev
TREC, 2001
A simple and efficient architecture for trainable activation functions
A Apicella, F Isgro, R Prevete
Neurocomputing 370, 1-15, 2019
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
Virtuality in neural dynamical systems
F Donnarumma, R Prevete, G Trautteur
Poster presented at the International Conference on Morphological …, 2007
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
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
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
Evidence for sparse synergies in grasping actions
R Prevete, F Donnarumma, A d’Avella, G Pezzulo
Scientific reports 8 (1), 616, 2018
Hierarchical and multiple hand action representation using temporal postural synergies
G Tessitore, C Sinigaglia, R Prevete
Experimental brain research 225, 11-36, 2013
Programming in the brain: a neural network theoretical framework
F Donnarumma, R Prevete, G Trautteur
Connection Science 24 (2-3), 71-90, 2012
Color cues for traffic scene analysis
E De Micheli, R Prevete, G Piccioli, M Campani
Proceedings of the Intelligent Vehicles' 95. Symposium, 466-471, 1995
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
From motor to sensory processing in mirror neuron computational modelling
G Tessitore, R Prevete, E Catanzariti, G Tamburrini
Biological cybernetics 103, 471-485, 2010
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Makaleler 1–20