עקוב אחר
Francesco Camastra
Francesco Camastra
Associate Professor of Computer Science, University of Naples Parthenope, Napoli, Italy
כתובת אימייל מאומתת בדומיין uniparthenope.it - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
A survey of kernel and spectral methods for clustering‏
M Filippone, F Camastra, F Masulli, S Rovetta‏
Pattern recognition 41 (1), 176-190, 2008‏
11252008
A novel kernel method for clustering‏
F Camastra, A Verri‏
IEEE transactions on pattern analysis and machine intelligence 27 (5), 801-805, 2005‏
4252005
Data dimensionality estimation methods: a survey‏
F Camastra‏
Pattern recognition 36 (12), 2945-2954, 2003‏
3832003
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
3312002
Machine learning for audio, image and video analysis: theory and applications‏
F Camastra, A Vinciarelli‏
Springer, 2015‏
2922015
Intrinsic dimension estimation: Advances and open problems‏
F Camastra, A Staiano‏
Information Sciences 328, 26-41, 2016‏
2372016
Real-time hand gesture recognition using a color glove‏
L Lamberti, F Camastra‏
Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011‏
1502011
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
1322015
A SVM-based cursive character recognizer‏
F Camastra‏
Pattern Recognition 40 (12), 3721-3727, 2007‏
1242007
Intrinsic dimension estimation of data: An approach based on Grassberger–Procaccia's algorithm‏
F Camastra, A Vinciarelli‏
Neural processing letters 14, 27-34, 2001‏
672001
Deep learning for time series forecasting: Advances and open problems‏
A Casolaro, V Capone, G Iannuzzo, F Camastra‏
Information 14 (11), 598, 2023‏
662023
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
572006
Cursive character recognition by learning vector quantization‏
F Camastra, A Vinciarelli‏
Pattern Recognition Letters 22 (6-7), 625-629, 2001‏
572001
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
532022
Combining neural gas and learning vector quantization for cursive character recognition‏
F Camastra, A Vinciarelli‏
Neurocomputing 51, 147-159, 2003‏
502003
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
482013
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
442012
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
412013
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
362019
A comparative evaluation of nonlinear dynamics methods for time series prediction‏
F Camastra, M Filippone‏
Neural Computing and Applications 18, 1021-1029, 2009‏
342009
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מאמרים 1–20