Francesco Camastra

68 papers B 1C 2Journal 31Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Learning for Regular Raster Spatio-Temporal Prediction: An Overview. Inf. Vincenzo Capone, Angelo Casolaro, Francesco Camastra
2025	J	`jnl`	Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network. Ecol. Informatics Angelo Casolaro, Vincenzo Capone, Francesco Camastra
2025	—	`conf`	Requirements analysis in ARCAD-IA project. Ital-IA Pietro Patrizio Ciro Aucelli, Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano
2025	J	`jnl`	Spatio-temporal prediction using graph neural networks: A survey. Neurocomputing Vincenzo Capone, Angelo Casolaro, Francesco Camastra
2024	—	`conf`	An integrated intelligent surveillance system for Industrial areas. Ital-IA 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
2024	J	`jnl`	On the interpretability of fuzzy knowledge base systems. PeerJ Comput. Sci. Francesco Camastra, Angelo Ciaramella, Giuseppe Salvi, Salvatore Sposato, Antonino Staiano
2024	—	`conf`	Safeguarding the Marine and Coastal Environment with Artificial Intelligence. Ital-IA Paola Barra, Francesco Camastra, Angelo Ciaramella, Ciro Giuseppe De Vita, Emanuel Di Nardo, Raffaele Montella, Gennaro Mellone, Vincenzo Mariano Scarrica, Antonino Staiano
2023	—	`conf`	AI-based Monitoring of Coastal and Marine Environments. Ital-IA Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano
2023	J	`jnl`	Deep Learning for Time Series Forecasting: Advances and Open Problems. Inf. Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, Francesco Camastra
2023	J	`jnl`	Manifold learning by a deep Gaussian process autoencoder. Neural Comput. Appl. Francesco Camastra, Angelo Casolaro, Gennaro Iannuzzo
2023	—	`conf`	Time Series Prediction with Missing Data by an Iterated Deep Gaussian Process. WIRN Francesco Camastra, Angelo Casolaro, Gennaro Iannuzzo
2022	B	`conf`	Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. ICIP Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
2022	J	`jnl`	Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. CoRR Jhony H. Giraldo, Vincenzo Mariano Scarrica, Antonino Staiano, Francesco Camastra, Thierry Bouwmans
2022	J	`jnl`	Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation. Environ. Model. Softw. Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Angelo Riccio, Antonino Staiano
2021	—	`conf`	A fuzzy rule base minimization perspective in XAI. WILF Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano
2020	—	`conf`	Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction. ICPR Workshops (6) Francesco Camastra, Vincenzo Capone, Angelo Ciaramella, Tony Christian Landi, Angelo Riccio, Antonino Staiano
2020	—	`ch.`	Italian Text Categorization with Lemmatization and Support Vector Machines. Neural Approaches to Dynamics of Signal Exchanges Francesco Camastra, Gennaro Razi
2020	—	`ch.`	Semantic Maps for Knowledge Management of Web and Social Information. Computational Intelligence for Semantic Knowledge Management Francesco Camastra, Angelo Ciaramella, Antonio Maratea, Le Hoang Son, Antonino Staiano
2019	—	`ch.`	Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization. Quantifying and Processing Biomedical and Behavioral Signals Domenico De Felice, Francesco Camastra
2019	J	`jnl`	Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron. Ecol. Informatics Elena Chianese, Francesco Camastra, Angelo Ciaramella, Tony Christian Landi, Antonino Staiano, Angelo Riccio
2018	—	`ch.`	Correlation Dimension-Based Recognition of Simple Juggling Movements. Multidisciplinary Approaches to Neural Computing Francesco Camastra, Francesco Esposito, Antonino Staiano
2018	—	`ch.`	Depth-Based Hand Pose Recognizer Using Learning Vector Quantization. Multidisciplinary Approaches to Neural Computing Domenico De Felice, Francesco Camastra
2018	—	`conf`	Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction. WILF Francesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano
2018	J	`jnl`	Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm. Neural Comput. Appl. Francesco Camastra, Francesco Esposito, Antonino Staiano
2017	—	`conf`	Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis. IIH-MSP (1) Vincenzo Mariano Scarrica, Francesco Camastra, Gianluca Diodati, Vincenzo Quaranta
2017	—	`conf`	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) Francesco Camastra, Angelo Ciaramella, Antonino Staiano
2017	—	`conf`	Spam Detection by Machine Learning-Based Content Analysis. IIH-MSP (1) Daniele Davino, Francesco Camastra, Angelo Ciaramella, Antonino Staiano
2016	J	`jnl`	Advances in Eye Tracking Technology: Theory, Algorithms, and Applications. Comput. Intell. Neurosci. Hong Fu, Ying Wei, Francesco Camastra, Pietro Aricò, Hong Sheng
2016	—	`conf`	Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images. IIMSS Nadia Brancati, Francesco Camastra
2016	J	`jnl`	Intrinsic dimension estimation: Advances and open problems. Inf. Sci. Francesco Camastra, Antonino Staiano
2015	J	`jnl`	A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Syst. Appl. Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2015	J	`jnl`	Advances in Computational Methods for Genetic Diseases. Comput. Math. Methods Medicine Francesco Camastra, Roberto Amato, Maria Donata Di Taranto, Antonino Staiano
2015	—	`book`	Machine Learning for Audio, Image and Video Analysis - Theory and Applications, Second Edition Francesco Camastra, Alessandro Vinciarelli
2015	—	`ch.`	Machine Learning-Based Web Documents Categorization by Semantic Graphs. Advances in Neural Networks Francesco Camastra, Angelo Ciaramella, Alessio Pierluigi Placitelli, Antonino Staiano
2015	J	`jnl`	Statistical and Computational Methods for Genetic Diseases: An Overview. Comput. Math. Methods Medicine Francesco Camastra, Maria Donata Di Taranto, Antonino Staiano
2014	J	`jnl`	TÉRA: A tool for the environmental risk assessment of genetically modified plants. Ecol. Informatics Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2013	—	`conf`	A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms. WIRN Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2013	—	`conf`	Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System. ICIAP Workshops Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2013	J	`jnl`	Machine learning and soft computing for ICT security: an overview of current trends. J. Ambient Intell. Humaniz. Comput. Francesco Camastra, Angelo Ciaramella, Antonino Staiano
2013	—	`conf`	Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. WILF Francesco Camastra, Angelo Ciaramella, Valeria Giovannelli, Matteo Lener, Valentina Rastelli, Salvatore Sposato, Antonino Staiano, Giovanni Staiano, Alfredo Starace
2012	—	`conf`	Data Dimensionality Estimation: Achievements and Challanges. CHDD Francesco Camastra
2012	J	`jnl`	Handy: A real-time three color glove-based gesture recognizer with learning vector quantization. Expert Syst. Appl. Luigi Lamberti, Francesco Camastra
2012	—	`conf`	LVQ-Based Hand Gesture Recognition Using a Data Glove. WIRN Francesco Camastra, Domenico De Felice
2011	—	`conf`	Real-Time Hand Gesture Recognition Using a Color Glove. ICIAP (1) Luigi Lamberti, Francesco Camastra
2009	J	`jnl`	A comparative evaluation of nonlinear dynamics methods for time series prediction. Neural Comput. Appl. Francesco Camastra, Maurizio Filippone
2008	J	`jnl`	A SVM Greek character recogniser. Int. J. Intell. Def. Support Syst. Francesco Camastra
2008	J	`jnl`	A survey of kernel and spectral methods for clustering. Pattern Recognit. Maurizio Filippone, Francesco Camastra, Francesco Masulli, Stefano Rovetta
2008	—	`conf`	Kernel Methods for Graphs: A Comprehensive Approach. KES (2) Francesco Camastra, Alfredo Petrosino
2008	—	`book`	Machine Learning for Audio, Image and Video Analysis - Theory and Applications. Francesco Camastra, Alessandro Vinciarelli
2007	J	`jnl`	A SVM-based cursive character recognizer. Pattern Recognit. Francesco Camastra
2007	—	`conf`	Handwritten Greek Character Recognition with Learning Vector Quantization. KES (3) Francesco Camastra
2007	J	`jnl`	Image Processing: Principles and Applications [book review]. IEEE Trans. Neural Networks Francesco Camastra
2007	—	`conf`	SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. KES (3) Francesco Camastra, Maurizio Filippone
2006	—	`conf`	Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms.. ICPR (2) Francesco Camastra, Marco Spinetti, Alessandro Vinciarelli
2005	J	`jnl`	A Novel Kernel Method for Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Francesco Camastra, Alessandro Verri
2005	—	`conf`	Kernel Methods for Clustering. WIRN/NAIS Francesco Camastra
2004	—	`conf`	A Novel Kernel Method for Clustering. WIRN Francesco Camastra, Alessandro Verri
2004	—	`—`	Kernel methods for unsupervised learning. Francesco Camastra
2003	J	`jnl`	Combining neural gas and learning vector quantization for cursive character recognition. Neurocomputing Francesco Camastra, Alessandro Vinciarelli
2003	J	`jnl`	Data dimensionality estimation methods: a survey. Pattern Recognit. Francesco Camastra
2002	J	`jnl`	Estimating the Intrinsic Dimension of Data with a Fractal-Based Method. IEEE Trans. Pattern Anal. Mach. Intell. Francesco Camastra, Alessandro Vinciarelli
2001	—	`conf`	A Neural Cursive Character Recognizer. WIRN Francesco Camastra, Alessandro Vinciarelli
2001	J	`jnl`	Cursive character recognition by learning vector quantization. Pattern Recognit. Lett. Francesco Camastra, Alessandro Vinciarelli
2001	J	`jnl`	Intrinsic Dimension Estimation of Data: An Approach Based on Grassberger-Procaccia's Algorithm. Neural Process. Lett. Francesco Camastra, Alessandro Vinciarelli
1999	J	`jnl`	Isolated Cursive Character Recognition based on Neural Nets. Künstliche Intell. Francesco Camastra, Alessandro Vinciarelli
1999	J	`jnl`	Neural Short-Term Prediction Based on Dynamics Reconstruction. Neural Process. Lett. Francesco Camastra, Anna Maria Colla
1997	C	`conf`	Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets. ICANN Francesco Camastra, Anna Maria Colla
1995	C	`conf`	Estimation of Unmeasurable Variables in a Dynamical System by Resource Allocating Networks. ISCAS S. Bruzzo, Francesco Camastra, Anna Maria Colla