Antonino Staiano, PhD

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Angelo CiaramellaFull Professor - DiST - University of Naples "Parthenope"Dirección de correo verificada de uniparthenope.it
Roberto TAGLIAFERRINeurone Lab - Disa Mis - University of SalernoDirección de correo verificada de unisa.it
Francesco CamastraAssociate Professor of Computer Science, University of Naples Parthenope, Napoli, ItalyDirección de correo verificada de uniparthenope.it
Giuseppe LongoFull professor of Astrophysics - Università Federico IIDirección de correo verificada de unina.it
Roberto AmatoGSKDirección de correo verificada de gsk.com
salvatore sessaprofessore di informaticaDirección de correo verificada de unina.it
Alfredo StaraceMSc in Computer Science, University of Naples Parthenope.Dirección de correo verificada de oracle.com
Maurizio PaolilloUniversità di Napoli Federico IIDirección de correo verificada de na.infn.it
Raffaele D'AbruscoSmithsonian Astrophysical ObservatoryDirección de correo verificada de cfa.harvard.edu
Massimo BresciaAssociate Professor - Dept. of Physics, University of Naples Federico IIDirección de correo verificada de inaf.it
Diego di BernardoDept. Chemical, Materials and Industrial Production Engineering, Univ. Federico II of Naples & TIGEMDirección de correo verificada de tigem.it
Giuliana FortunatoProfessore di Biochimica Clinica e Biologia Molecolare Clinica, Università di Napoli, Federico IIDirección de correo verificada de unina.it
Gianpiero ManganoINFN, Sezione di NapoliDirección de correo verificada de na.infn.it
Witold PedryczDirección de correo verificada de ualberta.ca
Vincenzo Loiauniversity of SalernoDirección de correo verificada de unisa.it

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Antonino Staiano, PhD

Associate Professor, Università di Napoli Parthenope

Dirección de correo verificada de uniparthenope.it - Página principal

Machine Learning Computational Intelligence Ecological Informatics Environmental Monitoring


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Intrinsic dimension estimation: Advances and open problems F Camastra, A Staiano Information Sciences 328, 26-41, 2016	237	2016
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	170	2006
A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference F Camastra, A Ciaramella, V Giovannelli, M Lener, V Rastelli, A Staiano, ... Expert Systems with Applications 42 (3), 1710-1716, 2015	132	2015
Neural neZtworks in astronomy R Tagliaferri, G Longo, L Milano, F Acernese, F Barone, A Ciaramella, ... Neural Networks 16 (3-4), 297-319, 2003	68	2003
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	65	2007
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	60	2006
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation F Camastra, V Capone, A Ciaramella, A Riccio, A Staiano Environmental Modelling & Software 150, 105343, 2022	53	2022
Association of USF1 and APOA5 polymorphisms with Familial Combined Hyperlipidemia in an Italian population MD Di Taranto, A Staiano, MN D'Agostino, A D'Angelo, E Bloise, ... Molecular and cellular probes 29 (1), 19-24, 2015	47	2015
A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients G Calcagno, A Staiano, G Fortunato, V Brescia-Morra, E Salvatore, ... Information Sciences 180 (21), 4153-4163, 2010	43	2010
Machine learning and soft computing for ICT security: an overview of current trends F Camastra, A Ciaramella, A Staiano Journal of Ambient Intelligence and Humanized Computing 4, 235-247, 2013	40	2013
Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron E Chianese, F Camastra, A Ciaramella, TC Landi, A Staiano, A Riccio Ecological informatics 49, 54-61, 2019	36	2019
A novel beach litter analysis system based on UAV images and Convolutional Neural Networks VM Scarrica, PPC Aucelli, C Cagnazzo, A Casolaro, P Fiore, ... Ecological Informatics 72, 101875, 2022	33	2022
Data integration by fuzzy similarity-based hierarchical clustering A Ciaramella, D Nardone, A Staiano BMC bioinformatics 21, 1-15, 2020	32	2020
Statistical and computational methods for genetic diseases: An overview F Camastra, MD Di Taranto, A Staiano Computational and mathematical methods in medicine 2015 (1), 954598, 2015	32	2015
Clustering and visualization approaches for human cell cycle gene expression data analysis F Napolitano, G Raiconi, R Tagliaferri, A Ciaramella, A Staiano, G Miele International Journal of Approximate Reasoning 47 (1), 70-84, 2008	31	2008
A neuro-fuzzy approach for sensor network data cleaning A Petrosino, A Staiano Knowledge-Based Intelligent Information and Engineering Systems: 11th …, 2007	26	2007
Merging fuzzy logic, neural networks, and genetic computation in the design of a decision‐support system V Loia, S Sessa, A Staiano, R Tagliaferri International Journal of Intelligent Systems 15 (7), 575-594, 2000	26	2000
Hypergraph convolutional networks for weakly-supervised semantic segmentation JH Giraldo, V Scarrica, A Staiano, F Camastra, T Bouwmans 2022 IEEE international conference on image processing (ICIP), 16-20, 2022	25	2022
A Sparse-Modeling based approach for Class-Specific feature selection D Nardone, A Ciaramella, A Staiano PeerJ Computer Science, 2019	24	2019
Investigation of single nucleotide polymorphisms associated to familial combined hyperlipidemia with random forests A Staiano, MD Di Taranto, E Bloise, MN D’Agostino, A D’Angelo, ... Neural Nets and Surroundings: 22nd Italian Workshop on Neural Nets, WIRN …, 2013	23	2013

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