A survey of kernel and spectral methods for clustering M Filippone, F Camastra, F Masulli, S Rovetta Pattern recognition 41 (1), 176-190, 2008 | 1096 | 2008 |
A novel kernel method for clustering F Camastra, A Verri IEEE transactions on pattern analysis and machine intelligence 27 (5), 801-805, 2005 | 418 | 2005 |
Data dimensionality estimation methods: a survey F Camastra Pattern recognition 36 (12), 2945-2954, 2003 | 381 | 2003 |
Estimating the intrinsic dimension of data with a fractal-based method F Camastra, A Vinciarelli IEEE Transactions on pattern analysis and machine intelligence 24 (10), 1404 …, 2002 | 327 | 2002 |
Machine learning for audio, image and video analysis: theory and applications F Camastra, A Vinciarelli Springer, 2015 | 268 | 2015 |
Intrinsic dimension estimation: Advances and open problems F Camastra, A Staiano Information Sciences 328, 26-41, 2016 | 208 | 2016 |
Real-time hand gesture recognition using a color glove L Lamberti, F Camastra Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011 | 139 | 2011 |
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 | 124 | 2015 |
A SVM-based cursive character recognizer F Camastra Pattern Recognition 40 (12), 3721-3727, 2007 | 119 | 2007 |
Intrinsic dimension estimation of data: An approach based on Grassberger–Procaccia's algorithm F Camastra, A Vinciarelli Neural processing letters 14, 27-34, 2001 | 67 | 2001 |
Cursive character recognition by learning vector quantization F Camastra, A Vinciarelli Pattern Recognition Letters 22 (6-7), 625-629, 2001 | 57 | 2001 |
Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms. F Camastra, M Spinetti, A Vinciarelli 18th International Conference on Pattern Recognition (ICPR'06) 2, 913-916, 2006 | 55 | 2006 |
Combining neural gas and learning vector quantization for cursive character recognition F Camastra, A Vinciarelli Neurocomputing 51, 147-159, 2003 | 49 | 2003 |
LVQ-based hand gesture recognition using a data glove F Camastra, D De Felice Neural Nets and Surroundings: 22nd Italian Workshop on Neural Nets, WIRN …, 2013 | 48 | 2013 |
Handy: a real-time three color glove-based gesture recognizer with learning vector quantization L Lamberti, F Camastra Expert Systems with Applications 39 (12), 10489-10494, 2012 | 44 | 2012 |
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 |
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 | 38 | 2022 |
A comparative evaluation of nonlinear dynamics methods for time series prediction F Camastra, M Filippone Neural Computing and Applications 18, 1021-1029, 2009 | 32 | 2009 |
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 | 28 | 2019 |
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 | 28 | 2015 |