Francesco Camastra

About Francesco Camastra

Francesco Camastra, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at Università degli Studi di Napoli Parthenope, specializes in the field of Machine Learning, Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Learning for Time Series Forecasting: Advances and Open Problems

Manifold Learning by a Deep Gaussian Process Variational Autoencoder

Manifold learning by a deep Gaussian process autoencoder

Assessing the effects of Bt maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints

AI-based Monitoring of Coastal and Marine Environments

Hypergraph convolutional networks for weakly-supervised semantic segmentation

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation

Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis

Francesco Camastra Information

University

Position

Associate Professor of Computer Science Italy

Citations(all)

3799

Citations(since 2020)

1148

Cited By

3121

hIndex(all)

22

hIndex(since 2020)

15

i10Index(all)

30

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Francesco Camastra Skills & Research Interests

Machine Learning

Pattern Recognition

Top articles of Francesco Camastra

Title

Journal

Author(s)

Publication Date

Deep Learning for Time Series Forecasting: Advances and Open Problems

Angelo Casolaro

Vincenzo Capone

Gennaro Iannuzzo

Francesco Camastra

2023/11/4

Manifold Learning by a Deep Gaussian Process Variational Autoencoder

Francesco Camastra

Angelo Casolaro

Gennaro Iannuzzo

2023/8/2

Manifold learning by a deep Gaussian process autoencoder

Neural Computing and Applications

Francesco Camastra

Angelo Casolaro

Gennaro Iannuzzo

2023/7

Assessing the effects of Bt maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints

Bulletin of Entomological Research

Alberto Lanzoni

Sara Bosi

Valeria Bregola

Francesco Camastra

Angelo Ciaramella

...

2022/2

AI-based Monitoring of Coastal and Marine Environments

Francesco Camastra

Angelo Ciaramella

Emanuel Di Nardo

Alessio Ferone

Antonio Maratea

...

2022

Hypergraph convolutional networks for weakly-supervised semantic segmentation

Jhony H Giraldo

Vincenzo Scarrica

Antonino Staiano

Francesco Camastra

Thierry Bouwmans

2022/10/16

Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation

Environmental Modelling & Software

Francesco Camastra

Vincenzo Capone

Angelo Ciaramella

Angelo Riccio

Antonino Staiano

2022/4/1

Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis

Progresses in Artificial Intelligence and Neural Systems

Vincenzo Mariano Scarrica

Francesco Camastra

Gianluca Diodati

Vincenzo Quaranta

2021

A fuzzy rule base minimization perspective in XAI.

Francesco Camastra

Angelo Ciaramella

Salvatore Sposato

Antonino Staiano

2021

Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction

Francesco Camastra

Vincenzo Capone

Angelo Ciaramella

Tony Christian Landi

Angelo Riccio

...

2021

Spam detection by machine learning-based content analysis

Progresses in Artificial Intelligence and Neural Systems

Daniele Davino

Francesco Camastra

Angelo Ciaramella

Antonino Staiano

2021

Italian text categorization with lemmatization and support vector machines

Neural approaches to dynamics of signal exchanges

Francesco Camastra

Gennaro Razi

2020

Semantic maps for knowledge management of web and social information

Computational Intelligence for Semantic Knowledge Management: New Perspectives for Designing and Organizing Information Systems

Francesco Camastra

Angelo Ciaramella

Antonio Maratea

Le Hoang Son

Antonino Staiano

2020

See List of Professors in Francesco Camastra University(Università degli Studi di Napoli Parthenope)

Co-Authors

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