Neurone Lab - Disa Mis - University of Salerno
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Zitiert von
Zitiert von
Discovery of drug mode of action and drug repositioning from transcriptional responses
F Iorio, R Bosotti, E Scacheri, V Belcastro, P Mithbaokar, R Ferriero, ...
Proceedings of the National Academy of Sciences 107 (33), 14621-14626, 2010
Drug repositioning: a machine-learning approach through data integration
F Napolitano, Y Zhao, VM Moreira, R Tagliaferri, J Kere, M D’Amato, ...
Journal of cheminformatics 5 (1), 1-9, 2013
Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering
A Staiano, R Tagliaferri, W Pedrycz
Neurocomputing 69 (13-15), 1570-1581, 2006
Deep learning in video multi-object tracking: A survey
G Ciaparrone, FL Sánchez, S Tabik, L Troiano, R Tagliaferri, F Herrera
Neurocomputing 381, 61-88, 2020
A multifrequency analysis of radio variability of blazars
A Ciaramella, C Bongardo, HD Aller, MF Aller, G De Zotti, A Lähteenmaki, ...
Astronomy & Astrophysics 419 (2), 485-500, 2004
Fuzzy neural networks for classification and detection of anomalies
M Meneganti, FS Saviello, R Tagliaferri
IEEE transactions on neural networks 9 (5), 848-861, 1998
Identifying network of drug mode of action by gene expression profiling
F Iorio, R Tagliaferri, D Bernardo
Journal of Computational Biology 16 (2), 241-251, 2009
Wide field imaging—I. Applications of neural networks to object detection and star/galaxy classification
S Andreon, G Gargiulo, G Longo, R Tagliaferri, N Capuano
Monthly Notices of the Royal Astronomical Society 319 (3), 700-716, 2000
Textural identification of carbonate rocks by image processing and neural network: Methodology proposal and examples
R Marmo, S Amodio, R Tagliaferri, V Ferreri, G Longo
Computers & geosciences 31 (5), 649-659, 2005
Neural networks for photometric redshifts evaluation
R Tagliaferri, G Longo, S Andreon, S Capozziello, C Donalek, G Giordano
Italian Workshop on Neural Nets, 226-234, 2003
Neural networks for blind-source separation of Stromboli explosion quakes
F Acernese, A Ciaramella, S De Martino, R De Rosa, M Falanga, ...
IEEE Transactions on Neural Networks 14 (1), 167-175, 2003
MVDA: a multi-view genomic data integration methodology
A Serra, M Fratello, V Fortino, G Raiconi, R Tagliaferri, D Greco
BMC bioinformatics 16 (1), 1-13, 2015
Data mining in cancer research [application notes]
PJG Lisboa, A Vellido, R Tagliaferri, F Napolitano, M Ceccarelli, ...
IEEE computational intelligence magazine 5 (1), 14-18, 2010
Fuzzy relational neural network
A Ciaramella, R Tagliaferri, W Pedrycz, A Di Nola
International Journal of Approximate Reasoning 41 (2), 146-163, 2006
Neural neZtworks in astronomy
R Tagliaferri, G Longo, L Milano, F Acernese, F Barone, A Ciaramella, ...
Neural Networks 16 (3-4), 297-319, 2003
A multi-step approach to time series analysis and gene expression clustering
R Amato, A Ciaramella, N Deniskina, CD Mondo, D di Bernardo, ...
Bioinformatics 22 (5), 589-596, 2006
Mining the SDSS archive. I. Photometric redshifts in the nearby universe
R D’Abrusco, A Staiano, G Longo, M Brescia, M Paolillo, E De Filippis, ...
The Astrophysical Journal 663 (2), 752, 2007
Neural net aided detection of astronomical periodicities in geologic records
M Brescia, B d'Argenio, V Ferreri, G Longo, N Pelosi, S Rampone, ...
Earth and Planetary Science Letters 139 (1-2), 33-45, 1996
A novel neural network-based survival analysis model
A Eleuteri, R Tagliaferri, L Milano, S De Placido, M De Laurentiis
Neural Networks 16 (5-6), 855-864, 2003
Fuzzy min–max neural networks: from classification to regression
R Tagliaferri, A Eleuteri, M Meneganti, F Barone
Soft Computing 5 (1), 69-76, 2001
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