Estimation of Unmeasurable Variables in a Dynamical System by Resource Allocating Networks. - S. Bruzzo; Francesco Camastra; Anna Maria Colla (ISCAS, 1995)

Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets. - Francesco Camastra; Anna Maria Colla (ICANN, 1997)

Isolated Cursive Character Recognition based on Neural Nets. - Francesco Camastra; Alessandro Vinciarelli (Künstliche Intell., 1999)

Neural Short-Term Prediction Based on Dynamics Reconstruction. - Francesco Camastra; Anna Maria Colla (Neural Process. Lett., 1999)

A Neural Cursive Character Recognizer. - Francesco Camastra; Alessandro Vinciarelli (WIRN, 2001)

Intrinsic Dimension Estimation of Data: An Approach Based on Grassberger-Procaccia's Algorithm. - Francesco Camastra; Alessandro Vinciarelli (Neural Process. Lett., 2001)

Cursive character recognition by learning vector quantization. - Francesco Camastra; Alessandro Vinciarelli (Pattern Recognit. Lett., 2001)

Estimating the Intrinsic Dimension of Data with a Fractal-Based Method. - Francesco Camastra; Alessandro Vinciarelli (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Combining neural gas and learning vector quantization for cursive character recognition. - Francesco Camastra; Alessandro Vinciarelli (Neurocomputing, 2003)

Data dimensionality estimation methods: a survey. - Francesco Camastra (Pattern Recognit., 2003)

Kernel methods for unsupervised learning. - Francesco Camastra (2004)

Kernel Methods for Clustering. - Francesco Camastra (WIRN/NAIS, 2005)

A Novel Kernel Method for Clustering. - Francesco Camastra; Alessandro Verri (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.. - Francesco Camastra; Marco Spinetti; Alessandro Vinciarelli (ICPR (2), 2006)

Handwritten Greek Character Recognition with Learning Vector Quantization. - Francesco Camastra (KES (3), 2007)

SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. - Francesco Camastra; Maurizio Filippone (KES (3), 2007)

A SVM-based cursive character recognizer. - Francesco Camastra (Pattern Recognit., 2007)

Image Processing: Principles and Applications [book review]. - Francesco Camastra (IEEE Trans. Neural Networks, 2007)

Kernel Methods for Graphs: A Comprehensive Approach. - Francesco Camastra; Alfredo Petrosino (KES (2), 2008)

A SVM Greek character recogniser. - Francesco Camastra (Int. J. Intell. Def. Support Syst., 2008)

A survey of kernel and spectral methods for clustering. - Maurizio Filippone; Francesco Camastra; Francesco Masulli; Stefano Rovetta (Pattern Recognit., 2008)

Machine Learning for Audio, Image and Video Analysis - Theory and Applications. - Francesco Camastra; Alessandro Vinciarelli (Springer, 2008)

Machine Learning for Audio, Image and Video Analysis. - Francesco Camastra; Alessandro Vinciarelli; Jie Yu (J. Electronic Imaging, 2009)

A comparative evaluation of nonlinear dynamics methods for time series prediction. - Francesco Camastra; Maurizio Filippone (Neural Comput. Appl., 2009)

Real-Time Hand Gesture Recognition Using a Color Glove. - Luigi Lamberti; Francesco Camastra (ICIAP (1), 2011)

Data Dimensionality Estimation: Achievements and Challanges. - Francesco Camastra (CHDD, 2012)

LVQ-Based Hand Gesture Recognition Using a Data Glove. - Francesco Camastra; Domenico De Felice (WIRN, 2012)

Handy: A real-time three color glove-based gesture recognizer with learning vector quantization. - Luigi Lamberti; Francesco Camastra (Expert Syst. Appl., 2012)

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (ICIAP Workshops, 2013)

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Salvatore Sposato; Antonino Staiano; Giovanni Staiano; Alfredo Starace (WILF, 2013)

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (WIRN, 2013)

Machine learning and soft computing for ICT security: an overview of current trends. - Francesco Camastra; Angelo Ciaramella; Antonino Staiano (J. Ambient Intell. Humaniz. Comput., 2013)

TÉRA: A tool for the environmental risk assessment of genetically modified plants. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (Ecol. Informatics, 2014)

Advances in Computational Methods for Genetic Diseases. - Francesco Camastra; Roberto Amato; Maria Donata Di Taranto; Antonino Staiano (Comput. Math. Methods Medicine, 2015)

Statistical and Computational Methods for Genetic Diseases: An Overview. - Francesco Camastra; Maria Donata Di Taranto; Antonino Staiano (Comput. Math. Methods Medicine, 2015)

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. - Francesco Camastra; Angelo Ciaramella; Valeria Giovannelli; Matteo Lener; Valentina Rastelli; Antonino Staiano; Giovanni Staiano; Alfredo Starace (Expert Syst. Appl., 2015)

Machine Learning for Audio, Image and Video Analysis - Theory and Applications, Second Edition - Francesco Camastra; Alessandro Vinciarelli (Springer, 2015)

Machine Learning-Based Web Documents Categorization by Semantic Graphs. - Francesco Camastra; Angelo Ciaramella; Alessio Placitelli; Antonino Staiano (Advances in Neural Networks, 2015)

Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images. - Nadia Brancati; Francesco Camastra (IIMSS, 2016)

Advances in Eye Tracking Technology: Theory, Algorithms, and Applications. - Hong Fu; Ying Wei; Francesco Camastra; Pietro Aricò; Hong Sheng (Comput. Intell. Neurosci., 2016)

Intrinsic dimension estimation: Advances and open problems. - Francesco Camastra; Antonino Staiano (Inf. Sci., 2016)

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. - Francesco Camastra; Angelo Ciaramella; Antonino Staiano (ICANN (1), 2017)

Spam Detection by Machine Learning-Based Content Analysis. - Daniele Davino; Francesco Camastra; Angelo Ciaramella; Antonino Staiano (IIH-MSP (1), 2017)

Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis. - Vincenzo Mariano Scarrica; Francesco Camastra; Gianluca Diodati; Vincenzo Quaranta (IIH-MSP (1), 2017)

Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. - Francesco Camastra; Angelo Ciaramella; Le Hoang Son; Angelo Riccio; Antonino Staiano (WILF, 2018)

Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. - Francesco Camastra; Francesco Esposito; Antonino Staiano (Neural Comput. Appl., 2018)

Correlation Dimension-Based Recognition of Simple Juggling Movements. - Francesco Camastra; Francesco Esposito; Antonino Staiano (Multidisciplinary Approaches to Neural Computing, 2018)

Depth-Based Hand Pose Recognizer Using Learning Vector Quantization. - Domenico De Felice; Francesco Camastra (Multidisciplinary Approaches to Neural Computing, 2018)

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. - Elena Chianese; Francesco Camastra; Angelo Ciaramella; Tony Christian Landi; Antonino Staiano; Angelo Riccio (Ecol. Informatics, 2019)

Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization. - Domenico De Felice; Francesco Camastra (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. - Francesco Camastra; Vincenzo Capone; Angelo Ciaramella; Tony Christian Landi; Angelo Riccio; Antonino Staiano (ICPR Workshops (6), 2020)

Semantic Maps for Knowledge Management of Web and Social Information. - Francesco Camastra; Angelo Ciaramella; Antonio Maratea; Le Hoang Son; Antonino Staiano (Computational Intelligence for Semantic Knowledge Management, 2020)

Italian Text Categorization with Lemmatization and Support Vector Machines. - Francesco Camastra; Gennaro Razi (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A fuzzy rule base minimization perspective in XAI. - Francesco Camastra; Angelo Ciaramella; Salvatore Sposato; Antonino Staiano (WILF, 2021)

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. - Jhony H. Giraldo; Vincenzo Mariano Scarrica; Antonino Staiano; Francesco Camastra; Thierry Bouwmans (ICIP, 2022)

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. - Francesco Camastra; Vincenzo Capone; Angelo Ciaramella; Angelo Riccio; Antonino Staiano (Environ. Model. Softw., 2022)

AI-based Monitoring of Coastal and Marine Environments. - Francesco Camastra; Angelo Ciaramella; Emanuel Di Nardo; Alessio Ferone; Antonio Maratea; Raffaele Montella; Antonino Staiano (Ital-IA, 2023)

Time Series Prediction with Missing Data by an Iterated Deep Gaussian Process. - Francesco Camastra; Angelo Casolaro; Gennaro Iannuzzo (WIRN, 2023)

Deep Learning for Time Series Forecasting: Advances and Open Problems. - Angelo Casolaro; Vincenzo Capone; Gennaro Iannuzzo; Francesco Camastra (Inf., 2023)

Manifold learning by a deep Gaussian process autoencoder. - Francesco Camastra; Angelo Casolaro; Gennaro Iannuzzo (Neural Comput. Appl., 2023)

Safeguarding the Marine and Coastal Environment with Artificial Intelligence. - Paola Barra; Francesco Camastra; Angelo Ciaramella; Ciro Giuseppe De Vita; Emanuel Di Nardo; Raffaele Montella; Gennaro Mellone; Vincenzo Mariano Scarrica; Antonino Staiano (Ital-IA, 2024)

An integrated intelligent surveillance system for Industrial areas. - 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 (Ital-IA, 2024)

On the interpretability of fuzzy knowledge base systems. - Francesco Camastra; Angelo Ciaramella; Giuseppe Salvi; Salvatore Sposato; Antonino Staiano (PeerJ Comput. Sci., 2024)

Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network. - Angelo Casolaro; Vincenzo Capone; Francesco Camastra (Ecol. Informatics, 2025)

Spatio-temporal prediction using graph neural networks: A survey. - Vincenzo Capone; Angelo Casolaro; Francesco Camastra (Neurocomputing, 2025)