Francesco Camastra

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 17

Top Topics

Computational Methods

Intrinsic Dimension

Top Venues

Comput. Math. Methods Medicine

Neural Comput. Appl.

Publications

Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, Francesco Camastra
Deep Learning for Time Series Forecasting: Advances and Open Problems. Inf. 14 (11) (2023)
Francesco Camastra, Angelo Casolaro, Gennaro Iannuzzo
Manifold learning by a deep Gaussian process autoencoder. Neural Comput. Appl. 35 (21) (2023)
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)
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 (2022)
Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR (2022)
Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP (2022)
Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano
A fuzzy rule base minimization perspective in XAI. WILF (2021)
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)
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 (2019)
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) (2018)
Francesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. WILF (2018)
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)
Daniele Davino, Francesco Camastra, Angelo Ciaramella, Antonino Staiano
Spam Detection by Machine Learning-Based Content Analysis. IIH-MSP (1) (2017)
Vincenzo Mariano Scarrica, Francesco Camastra, Gianluca Diodati, Vincenzo Quaranta
Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis. IIH-MSP (1) (2017)
Nadia Brancati, Francesco Camastra
Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images. IIMSS (2016)
Francesco Camastra, Antonino Staiano
Intrinsic dimension estimation: Advances and open problems. Inf. Sci. 328 (2016)
Hong Fu, Ying Wei, Francesco Camastra, Pietro Aricò, Hong Sheng
Advances in Eye Tracking Technology: Theory, Algorithms, and Applications. Comput. Intell. Neurosci. 2016 (2016)
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) (2015)
Francesco Camastra, Maria Donata Di Taranto, Antonino Staiano
Statistical and Computational Methods for Genetic Diseases: An Overview. Comput. Math. Methods Medicine 2015 (2015)
Francesco Camastra, Roberto Amato, Maria Donata Di Taranto, Antonino Staiano
Advances in Computational Methods for Genetic Diseases. Comput. Math. Methods Medicine 2015 (2015)
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 (2014)
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)
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) (2013)
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)
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)
Francesco Camastra, Domenico De Felice
LVQ-Based Hand Gesture Recognition Using a Data Glove. WIRN (2012)
Luigi Lamberti, Francesco Camastra
Handy: A real-time three color glove-based gesture recognizer with learning vector quantization. Expert Syst. Appl. 39 (12) (2012)
Francesco Camastra
Data Dimensionality Estimation: Achievements and Challanges. CHDD (2012)
Luigi Lamberti, Francesco Camastra
Real-Time Hand Gesture Recognition Using a Color Glove. ICIAP (1) (2011)
Francesco Camastra, Maurizio Filippone
A comparative evaluation of nonlinear dynamics methods for time series prediction. Neural Comput. Appl. 18 (8) (2009)
Francesco Camastra, Alessandro Vinciarelli, Jie Yu
. J. Electronic Imaging 18 (2) (2009)
Maurizio Filippone, Francesco Camastra, Francesco Masulli, Stefano Rovetta
A survey of kernel and spectral methods for clustering. Pattern Recognit. 41 (1) (2008)
Francesco Camastra
A SVM Greek character recogniser. Int. J. Intell. Def. Support Syst. 1 (4) (2008)
Francesco Camastra, Alfredo Petrosino
Kernel Methods for Graphs: A Comprehensive Approach. KES (2) (2008)
Francesco Camastra
Image Processing: Principles and Applications [book review]. IEEE Trans. Neural Networks 18 (2) (2007)
Francesco Camastra
Handwritten Greek Character Recognition with Learning Vector Quantization. KES (3) (2007)
Francesco Camastra, Maurizio Filippone
SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. KES (3) (2007)
Francesco Camastra
A SVM-based cursive character recognizer. Pattern Recognit. 40 (12) (2007)
Francesco Camastra, Marco Spinetti, Alessandro Vinciarelli
Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.. ICPR (2) (2006)
Francesco Camastra
Kernel Methods for Clustering. WIRN/NAIS (2005)
Francesco Camastra, Alessandro Verri
A Novel Kernel Method for Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27 (5) (2005)
Francesco Camastra, Alessandro Verri
A Novel Kernel Method for Clustering. WIRN (2004)
Francesco Camastra
Data dimensionality estimation methods: a survey. Pattern Recognit. 36 (12) (2003)
Francesco Camastra, Alessandro Vinciarelli
Combining neural gas and learning vector quantization for cursive character recognition. Neurocomputing 51 (2003)
Francesco Camastra, Alessandro Vinciarelli
Estimating the Intrinsic Dimension of Data with a Fractal-Based Method. IEEE Trans. Pattern Anal. Mach. Intell. 24 (10) (2002)
Francesco Camastra, Alessandro Vinciarelli
A Neural Cursive Character Recognizer. WIRN (2001)
Francesco Camastra, Alessandro Vinciarelli
Intrinsic Dimension Estimation of Data: An Approach Based on Grassberger-Procaccia's Algorithm. Neural Process. Lett. 14 (1) (2001)
Francesco Camastra, Alessandro Vinciarelli
Cursive character recognition by learning vector quantization. Pattern Recognit. Lett. 22 (6/7) (2001)
Francesco Camastra, Anna Maria Colla
Neural Short-Term Prediction Based on Dynamics Reconstruction. Neural Process. Lett. 9 (1) (1999)
Francesco Camastra, Alessandro Vinciarelli
Isolated Cursive Character Recognition based on Neural Nets. Künstliche Intell. 13 (2) (1999)
Francesco Camastra, Anna Maria Colla
Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets. ICANN (1997)
S. Bruzzo, Francesco Camastra, Anna Maria Colla
Estimation of Unmeasurable Variables in a Dynamical System by Resource Allocating Networks. ISCAS (1995)