| Intrinsic dimension estimation: Advances and open problems F Camastra, A Staiano Information Sciences 328, 26-41, 2016 | 220 | 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 | 169 | 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 | 128 | 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 | 69 | 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 | 58 | 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 | 56 | 2006 |
| 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 | 46 | 2015 |
| 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 | 43 | 2022 |
| 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 | 42 | 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 | 39 | 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 | 31 | 2019 |
| 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 |
| 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 | 30 | 2015 |
| Data integration by fuzzy similarity-based hierarchical clustering A Ciaramella, D Nardone, A Staiano BMC bioinformatics 21, 1-15, 2020 | 28 | 2020 |
| 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 | 28 | 2000 |
| 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 | 26 | 2022 |
| A neuro-fuzzy approach for sensor network data cleaning A Petrosino, A Staiano Knowledge-Based Intelligent Information and Engineering Systems: 11th …, 2007 | 25 | 2007 |
| 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 | 22 | 2013 |
| 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 | 21 | 2022 |
| A bayesian-based neural network model for solar photovoltaic power forecasting A Ciaramella, A Staiano, S Cervone, Guido, Alessandrini Advances in Neural Networks - Smart Innovation, Systems and Technologies 54 …, 2016 | 21 | 2016 |
Angelo CiaramellaFull Professor - DiST - University of Naples "Parthenope"Verified email at uniparthenope.it
