Roberto Prevete

About Roberto Prevete

Roberto Prevete, With an exceptional h-index of 20 and a recent h-index of 13 (since 2020), a distinguished researcher at Università degli Studi di Napoli Federico II, specializes in the field of Neural networks, Deep Learning, XAI, computational neuroscience, Artificial Intelligence.

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

Dynamic identification methods and artificial intelligence algorithms for damage detection of masonry infills

Towards a general framework for improving the performance of classifiers using XAI methods

Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning

Hidden classification layers: Enhancing linear separability between classes in neural networks layers

Impact of nutritional factors in blood glucose prediction in type 1 diabetes through machine learning

The Targets of Opportunity Source Catalog for the EUSO-SPB2 Mission

On the effects of data normalization for domain adaptation on EEG data

Analysis of EAS-like events detected by the Mini-EUSO telescope

Roberto Prevete Information

University

Position

Assistant Professor of Computer Science

Citations(all)

1610

Citations(since 2020)

847

Cited By

872

hIndex(all)

20

hIndex(since 2020)

13

i10Index(all)

32

i10Index(since 2020)

19

Email

University Profile Page

Università degli Studi di Napoli Federico II

Google Scholar

View Google Scholar Profile

Roberto Prevete Skills & Research Interests

Neural networks

Deep Learning

XAI

computational neuroscience

Artificial Intelligence

Top articles of Roberto Prevete

Title

Journal

Author(s)

Publication Date

Dynamic identification methods and artificial intelligence algorithms for damage detection of masonry infills

Journal of Civil Structural Health Monitoring

Alessandra De Angelis

Antonio Bilotta

Maria Rosaria Pecce

Andrea Pollastro

Roberto Prevete

2024/4/11

Towards a general framework for improving the performance of classifiers using XAI methods

arXiv preprint arXiv:2403.10373

Andrea Apicella

Salvatore Giugliano

Francesco Isgrò

Roberto Prevete

2024/3/15

Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning

arXiv preprint arXiv:2401.13796

Andrea Apicella

Francesco Isgrò

Roberto Prevete

2024/1/24

Hidden classification layers: Enhancing linear separability between classes in neural networks layers

Pattern Recognition Letters

Andrea Apicella

Francesco Isgrò

Roberto Prevete

2024/1/1

Impact of nutritional factors in blood glucose prediction in type 1 diabetes through machine learning

IEEE Access

Giovanni Annuzzi

Andrea Apicella

Pasquale Arpaia

Lutgarda Bozzetto

Sabatina Criscuolo

...

2023/2/13

The Targets of Opportunity Source Catalog for the EUSO-SPB2 Mission

arXiv preprint arXiv:2312.00920

Hannah Wistrand

Tobias Heibges

Jonatan Posligua

Claire Guépin

Mary Hall Reno

...

2023/12/1

On the effects of data normalization for domain adaptation on EEG data

Engineering Applications of Artificial Intelligence

Andrea Apicella

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/8/1

Analysis of EAS-like events detected by the Mini-EUSO telescope

POS PROCEEDINGS OF SCIENCE

G Sammartino

G Pretto

S Abe

JH Adams

D Allard

...

2023

Adaptive filters in graph convolutional neural networks

Pattern Recognition

Andrea Apicella

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/12/1

Strategies to exploit XAI to improve classification systems

Andrea Apicella

Luca Di Lorenzo

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/7/26

SHAP-based explanations to improve classification systems

Andrea Apicella

Salvatore Giugliano

Francesco Isgrò

Roberto Prevete

2023

Toward the Improvement of Probabilistic Classifiers Using Ontologies

Andrea Apicella

Anna Corazza

Francesco Isgrò

Roberto Prevete

2023/10/25

Semi-supervised detection of structural damage using variational autoencoder and a one-class support vector machine

IEEE Access

Andrea Pollastro

Giusiana Testa

Antonio Bilotta

Roberto Prevete

2023/7/3

Machine Learning Strategies to Improve Cross-Subject and Cross-Session Generalization in EEG-Based Emotion Recognition: A Systematic Review

Pasquale Arpaia

Andrea Apicella

Giovanni D’Errico

Davide Marocco

Giovanna Mastrati

...

2023

Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes

arXiv preprint arXiv:2306.06146

Andrea Apicella

Francesco Isgrò

Roberto Prevete

2023/6/9

Special Issue on Deep Learning for Electroencephalography (EEG) Data Analysis

Roberto Prevete

Francesco Isgrò

Francesco Donnarumma

2023/10/19

Employment of domain adaptation techniques in SSVEP-based brain-computer interfaces

IEEE Access

Andrea Apicella

Pasquale Arpaia

Egidio De Benedetto

Nicola Donato

Luigi Duraccio

...

2023/4/11

Dynamic Local Filters in Graph Convolutional Neural Networks

Andrea Apicella

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/9/5

Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI

IEEE Journal of Biomedical and Health Informatics

Giovanni Annuzzi

Andrea Apicella

Pasquale Arpaia

Lutgarda Bozzetto

Sabatina Criscuolo

...

2023/12/29

A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces

Leopoldo Angrisani

Andrea Apicella

Pasquale Arpaia

Egidio De Benedetto

Nicola Donato

...

2022/5/16

See List of Professors in Roberto Prevete University(Università degli Studi di Napoli Federico II)

Co-Authors

H-index: 48
Daniele Marinazzo

Daniele Marinazzo

Universiteit Gent

H-index: 38
Corrado Sinigaglia

Corrado Sinigaglia

Università degli Studi di Milano

H-index: 34
pasquale arpaia

pasquale arpaia

Università degli Studi di Napoli Federico II

H-index: 33
Renato Cuocolo

Renato Cuocolo

Università degli Studi di Napoli Federico II

H-index: 24
Francesco Isgrò

Francesco Isgrò

Università degli Studi di Napoli Federico II

H-index: 21
Guglielmo Tamburrini

Guglielmo Tamburrini

Università degli Studi di Napoli Federico II

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