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2020 – today
- 2024
[c26]Francesco Camastra, Angelo Ciaramella, Angelo Casolaro, Pasquale De Trino, Alessio Ferone, Giovanni Hauber, Gennaro Iannuzzo, Vincenzo Mariano Scarrica, Antonio Junior Spoleto, Antonino Staiano, Maria Concetta Vitale:
An integrated intelligent surveillance system for Industrial areas. Ital-IA 2024: 236-241- [c25]Paola Barra, Francesco Camastra, Angelo Ciaramella, Ciro Giuseppe De Vita, Emanuel Di Nardo, Raffaele Montella, Gennaro Mellone, Vincenzo Scarrica, Antonino Staiano:
Safeguarding the Marine and Coastal Environment with Artificial Intelligence. Ital-IA 2024: 534-539 - 2023
- [j27]Angelo Casolaro
, Vincenzo Capone, Gennaro Iannuzzo, Francesco Camastra:
Deep Learning for Time Series Forecasting: Advances and Open Problems. Inf. 14(11): 598 (2023) - [j26]Francesco Camastra, Angelo Casolaro, Gennaro Iannuzzo:
Manifold learning by a deep Gaussian process autoencoder. Neural Comput. Appl. 35(21): 15573-15582 (2023) - [c24]Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano:
AI-based Monitoring of Coastal and Marine Environments. Ital-IA 2023: 575-579 - 2022
- [j25]Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Angelo Riccio, Antonino Staiano:
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. Environ. Model. Softw. 150: 105343 (2022) - [c23]Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans:
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP 2022: 16-20 - [i1]Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans:
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR abs/2210.05564 (2022) - 2021
- [c22]Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano:
A fuzzy rule base minimization perspective in XAI. WILF 2021 - 2020
- [c21]Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Tony Christian Landi, Angelo Riccio, Antonino Staiano:
Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. ICPR Workshops (6) 2020: 26-33 - [p6]Francesco Camastra, Angelo Ciaramella, Antonio Maratea, Le Hoang Son, Antonino Staiano:
Semantic Maps for Knowledge Management of Web and Social Information. Computational Intelligence for Semantic Knowledge Management 2020: 39-51 - [p5]Francesco Camastra, Gennaro Razi:
Italian Text Categorization with Lemmatization and Support Vector Machines. Neural Approaches to Dynamics of Signal Exchanges 2020: 47-54
2010 – 2019
- 2019
- [j24]Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio:
Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecol. Informatics 49: 54-61 (2019) - [p4]Domenico De Felice, Francesco Camastra:
Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization. Quantifying and Processing Biomedical and Behavioral Signals 2019: 163-171 - 2018
- [j23]Francesco Camastra, Francesco Esposito, Antonino Staiano:
Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. Neural Comput. Appl. 29(11): 1005-1013 (2018) - [c20]Francesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano:
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. WILF 2018: 123-133 - [p3]Domenico De Felice, Francesco Camastra:
Depth-Based Hand Pose Recognizer Using Learning Vector Quantization. Multidisciplinary Approaches to Neural Computing 2018: 69-75 - [p2]Francesco Camastra, Francesco Esposito, Antonino Staiano:
Correlation Dimension-Based Recognition of Simple Juggling Movements. Multidisciplinary Approaches to Neural Computing 2018: 77-84 - 2017
- [c19]Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions. ICANN (1) 2017: 407-414 - [c18]Vincenzo Mariano Scarrica, Francesco Camastra, Gianluca Diodati, Vincenzo Quaranta:
Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis. IIH-MSP (1) 2017: 383-391 - [c17]Daniele Davino, Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
Spam Detection by Machine Learning-Based Content Analysis. IIH-MSP (1) 2017: 415-422 - 2016
- [j22]Hong Fu, Ying Wei, Francesco Camastra, Pietro Aricò, Hong Sheng:
Advances in Eye Tracking Technology: Theory, Algorithms, and Applications. Comput. Intell. Neurosci. 2016: 7831469:1-7831469:2 (2016) - [j21]Francesco Camastra, Antonino Staiano:
Intrinsic dimension estimation: Advances and open problems. Inf. Sci. 328: 26-41 (2016) - [c16]Nadia Brancati, Francesco Camastra:
Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images. IIMSS 2016: 1-10 - 2015
- [b3]Francesco Camastra, Alessandro Vinciarelli:
Machine Learning for Audio, Image and Video Analysis - Theory and Applications, Second Edition. Advanced Information and Knowledge Processing, Springer 2015, ISBN 978-1-4471-6734-1, pp. 1-498 - [j20]Francesco Camastra, Roberto Amato, Maria Donata Di Taranto, Antonino Staiano:
Advances in Computational Methods for Genetic Diseases. Comput. Math. Methods Medicine 2015: 645649:1-645649:2 (2015) - [j19]Francesco Camastra, Maria Donata Di Taranto, Antonino Staiano:
Statistical and Computational Methods for Genetic Diseases: An Overview. Comput. Math. Methods Medicine 2015: 954598:1-954598:8 (2015) - [j18]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Syst. Appl. 42(3): 1710-1716 (2015) - [p1]Francesco Camastra, Angelo Ciaramella, Alessio Placitelli, Antonino Staiano:
Machine Learning-Based Web Documents Categorization by Semantic Graphs. Advances in Neural Networks 2015: 75-82 - 2014
- [j17]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
TÉRA: A tool for the environmental risk assessment of genetically modified plants. Ecol. Informatics 24: 186-193 (2014) - 2013
- [j16]Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
Machine learning and soft computing for ICT security: an overview of current trends. J. Ambient Intell. Humaniz. Comput. 4(2): 235-247 (2013) - [c15]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. ICIAP Workshops 2013: 428-435 - [c14]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Salvatore Sposato, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. WILF 2013: 226-233 - [c13]Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace:
A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. WIRN 2013: 241-249 - 2012
- [j15]Luigi Lamberti, Francesco Camastra:
Handy: A real-time three color glove-based gesture recognizer with learning vector quantization. Expert Syst. Appl. 39(12): 10489-10494 (2012) - [c12]Francesco Camastra:
Data Dimensionality Estimation: Achievements and Challanges. CHDD 2012: 87-101 - [c11]Francesco Camastra, Domenico De Felice:
LVQ-Based Hand Gesture Recognition Using a Data Glove. WIRN 2012: 159-168 - 2011
- [c10]Luigi Lamberti, Francesco Camastra:
Real-Time Hand Gesture Recognition Using a Color Glove. ICIAP (1) 2011: 365-373
2000 – 2009
- 2009
- [j14]Francesco Camastra, Alessandro Vinciarelli, Jie Yu:
Machine Learning for Audio, Image and Video Analysis. J. Electronic Imaging 18(2): 029901 (2009) - [j13]Francesco Camastra, Maurizio Filippone:
A comparative evaluation of nonlinear dynamics methods for time series prediction. Neural Comput. Appl. 18(8): 1021-1029 (2009) - 2008
- [b2]Francesco Camastra, Alessandro Vinciarelli:
Machine Learning for Audio, Image and Video Analysis - Theory and Applications. Advanced Information and Knowledge Processing, Springer 2008, ISBN 978-1-84800-006-3, pp. 1-494 - [j12]Francesco Camastra:
A SVM Greek character recogniser. Int. J. Intell. Def. Support Syst. 1(4): 290-299 (2008) - [j11]Maurizio Filippone, Francesco Camastra, Francesco Masulli, Stefano Rovetta:
A survey of kernel and spectral methods for clustering. Pattern Recognit. 41(1): 176-190 (2008) - [c9]Francesco Camastra, Alfredo Petrosino:
Kernel Methods for Graphs: A Comprehensive Approach. KES (2) 2008: 662-669 - 2007
- [j10]Francesco Camastra:
A SVM-based cursive character recognizer. Pattern Recognit. 40(12): 3721-3727 (2007) - [j9]Francesco Camastra:
Image Processing: Principles and Applications [book review]. IEEE Trans. Neural Networks 18(2): 610 (2007) - [c8]Francesco Camastra:
Handwritten Greek Character Recognition with Learning Vector Quantization. KES (3) 2007: 267-274 - [c7]Francesco Camastra, Maurizio Filippone:
SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. KES (3) 2007: 300-307 - 2006
- [c6]Francesco Camastra, Marco Spinetti, Alessandro Vinciarelli:
Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.. ICPR (2) 2006: 913-916 - 2005
- [j8]Francesco Camastra, Alessandro Verri:
A Novel Kernel Method for Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 801-804 (2005) - [c5]Francesco Camastra:
Kernel Methods for Clustering. WIRN/NAIS 2005: 1-9 - 2004
- [b1]Francesco Camastra:
Kernel methods for unsupervised learning. University of Genoa, Italy, 2004 - [c4]Francesco Camastra, Alessandro Verri:
A Novel Kernel Method for Clustering. WIRN 2004: 245-250 - 2003
- [j7]Francesco Camastra, Alessandro Vinciarelli:
Combining neural gas and learning vector quantization for cursive character recognition. Neurocomputing 51: 147-159 (2003) - [j6]Francesco Camastra:
Data dimensionality estimation methods: a survey. Pattern Recognit. 36(12): 2945-2954 (2003) - 2002
- [j5]Francesco Camastra, Alessandro Vinciarelli:
Estimating the Intrinsic Dimension of Data with a Fractal-Based Method. IEEE Trans. Pattern Anal. Mach. Intell. 24(10): 1404-1407 (2002) - 2001
- [j4]Francesco Camastra, Alessandro Vinciarelli:
Intrinsic Dimension Estimation of Data: An Approach Based on Grassberger-Procaccia's Algorithm. Neural Process. Lett. 14(1): 27-34 (2001) - [j3]Francesco Camastra, Alessandro Vinciarelli:
Cursive character recognition by learning vector quantization. Pattern Recognit. Lett. 22(6/7): 625-629 (2001) - [c3]Francesco Camastra, Alessandro Vinciarelli:
A Neural Cursive Character Recognizer. WIRN 2001: 172-177
1990 – 1999
- 1999
- [j2]Francesco Camastra, Alessandro Vinciarelli:
Isolated Cursive Character Recognition based on Neural Nets. Künstliche Intell. 13(2): 17-19 (1999) - [j1]Francesco Camastra, Anna Maria Colla:
Neural Short-Term Prediction Based on Dynamics Reconstruction. Neural Process. Lett. 9(1): 45-52 (1999) - 1997
- [c2]Francesco Camastra, Anna Maria Colla:
Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets. ICANN 1997: 1035-1040 - 1995
- [c1]S. Bruzzo, Francesco Camastra, Anna Maria Colla:
Estimation of Unmeasurable Variables in a Dynamical System by Resource Allocating Networks. ISCAS 1995: 1712-1715
Coauthor Index
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last updated on 2024-10-09 20:32 CEST by the dblp team
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