Francesco Camastra

Orcid: 0000-0003-4439-7583

According to our database1, Francesco Camastra authored at least 61 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
An integrated intelligent surveillance system for Industrial areas.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Safeguarding the Marine and Coastal Environment with Artificial Intelligence.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023
Manifold learning by a deep Gaussian process autoencoder.
Neural Comput. Appl., July, 2023

Deep Learning for Time Series Forecasting: Advances and Open Problems.
Inf., 2023

AI-based Monitoring of Coastal and Marine Environments.
Proceedings of the Italia Intelligenza Artificiale, 2023

2022
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation.
Environ. Model. Softw., 2022

Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
A fuzzy rule base minimization perspective in XAI.
Proceedings of WILF 2021, 2021

2020
Italian Text Categorization with Lemmatization and Support Vector Machines.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Semantic Maps for Knowledge Management of Web and Social Information.
Proceedings of the Computational Intelligence for Semantic Knowledge Management, 2020

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron.
Ecol. Informatics, 2019

2018
Depth-Based Hand Pose Recognizer Using Learning Vector Quantization.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Correlation Dimension-Based Recognition of Simple Juggling Movements.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm.
Neural Comput. Appl., 2018

Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

2017
Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Spam Detection by Machine Learning-Based Content Analysis.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Intrinsic dimension estimation: Advances and open problems.
Inf. Sci., 2016

Advances in Eye Tracking Technology: Theory, Algorithms, and Applications.
Comput. Intell. Neurosci., 2016

Analysis of Similarity Measurements in CBIR Using Clustered Tamura Features for Biomedical Images.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2016, 2016

2015
Machine Learning-Based Web Documents Categorization by Semantic Graphs.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Machine Learning for Audio, Image and Video Analysis - Theory and Applications, Second Edition
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-4471-6735-8, 2015

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference.
Expert Syst. Appl., 2015

Statistical and Computational Methods for Genetic Diseases: An Overview.
Comput. Math. Methods Medicine, 2015

Advances in Computational Methods for Genetic Diseases.
Comput. Math. Methods Medicine, 2015

2014
TÉRA: A tool for the environmental risk assessment of genetically modified plants.
Ecol. Informatics, 2014

2013
Machine learning and soft computing for ICT security: an overview of current trends.
J. Ambient Intell. Humaniz. Comput., 2013

A Fuzzy Decision Support System for the Environmental Risk Assessment of Genetically Modified Organisms.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Environmental Risk Assessment of Genetically Modified Organisms by a Fuzzy Decision Support System.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013

2012
Handy: A real-time three color glove-based gesture recognizer with learning vector quantization.
Expert Syst. Appl., 2012

LVQ-Based Hand Gesture Recognition Using a Data Glove.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

Data Dimensionality Estimation: Achievements and Challanges.
Proceedings of the Clustering High-Dimensional Data - First International Workshop, 2012

2011
Real-Time Hand Gesture Recognition Using a Color Glove.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

2009
A comparative evaluation of nonlinear dynamics methods for time series prediction.
Neural Comput. Appl., 2009

<i>Machine Learning for Audio, Image and Video Analysis</i>.
J. Electronic Imaging, 2009

2008
Machine Learning for Audio, Image and Video Analysis - Theory and Applications.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-84800-007-0, 2008

A survey of kernel and spectral methods for clustering.
Pattern Recognit., 2008

A SVM Greek character recogniser.
Int. J. Intell. Def. Support Syst., 2008

Kernel Methods for Graphs: A Comprehensive Approach.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2007
Image Processing: Principles and Applications [book review].
IEEE Trans. Neural Networks, 2007

A SVM-based cursive character recognizer.
Pattern Recognit., 2007

SVM-Based Time Series Prediction with Nonlinear Dynamics Methods.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Handwritten Greek Character Recognition with Learning Vector Quantization.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms..
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
A Novel Kernel Method for Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Kernel Methods for Clustering.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

2004
Kernel methods for unsupervised learning.
PhD thesis, 2004

2003
Data dimensionality estimation methods: a survey.
Pattern Recognit., 2003

Combining neural gas and learning vector quantization for cursive character recognition.
Neurocomputing, 2003

2002
Estimating the Intrinsic Dimension of Data with a Fractal-Based Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001
Cursive character recognition by learning vector quantization.
Pattern Recognit. Lett., 2001

Intrinsic Dimension Estimation of Data: An Approach Based on Grassberger-Procaccia's Algorithm.
Neural Process. Lett., 2001

A Neural Cursive Character Recognizer.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

1999
Neural Short-Term Prediction Based on Dynamics Reconstruction.
Neural Process. Lett., 1999

Isolated Cursive Character Recognition based on Neural Nets.
Künstliche Intell., 1999

1997
Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets.
Proceedings of the Artificial Neural Networks, 1997

1995
Estimation of Unmeasurable Variables in a Dynamical System by Resource Allocating Networks.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995


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