Stebėti
Francesco Camastra
Francesco Camastra
Associate Professor of Computer Science, University of Naples Parthenope, Napoli, Italy
Patvirtintas el. paštas uniparthenope.it - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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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Straipsniai 1–20