Francesco Isgrò

About Francesco Isgrò

Francesco Isgrò, With an exceptional h-index of 24 and a recent h-index of 16 (since 2020), a distinguished researcher at Università degli Studi di Napoli Federico II, specializes in the field of Computer vision, Machine Learning.

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

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

Building a Comprehensive Dataset for Training Object Detection Algorithms applied on Plastic Transport Monitoring in Riverine Environments

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

Adaptive filters in graph convolutional neural networks

Toward the Improvement of Probabilistic Classifiers Using Ontologies

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

Dynamic Local Filters in Graph Convolutional Neural Networks

Francesco Isgrò Information

University

Position

DIETI

Citations(all)

2253

Citations(since 2020)

1045

Cited By

1531

hIndex(all)

24

hIndex(since 2020)

16

i10Index(all)

52

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Francesco Isgrò Skills & Research Interests

Computer vision

Machine Learning

Top articles of Francesco Isgrò

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

arXiv preprint arXiv:2403.10373

2024/3/15

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

Building a Comprehensive Dataset for Training Object Detection Algorithms applied on Plastic Transport Monitoring in Riverine Environments

2024/3/7

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

arXiv preprint arXiv:2401.13796

2024/1/24

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

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

Pattern Recognition Letters

2024/1/1

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

Adaptive filters in graph convolutional neural networks

Pattern Recognition

2023/12/1

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

Toward the Improvement of Probabilistic Classifiers Using Ontologies

2023/10/25

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

2023/10/19

Roberto Prevete
Roberto Prevete

H-Index: 9

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Dynamic Local Filters in Graph Convolutional Neural Networks

2023/9/5

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

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

Engineering Applications of Artificial Intelligence

2023/8/1

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

Strategies to exploit XAI to improve classification systems

2023/7/26

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

Uncertainty analysis in cryptographic key recovery for machine learning-based power measurements attacks

IEEE Transactions on Instrumentation and Measurement

2023/6/12

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

arXiv preprint arXiv:2306.06146

2023/6/9

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

The use of optical camera for river turbidity monitoring

EGU General Assembly Conference Abstracts

2023/5

A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images

Heliyon

2023/3/1

SHAP-based explanations to improve classification systems

2023

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

Utilizing Unmanned Aerial Systems in River Water Quality Variability Monitoring

2023

Monitoring water turbidity with camera: a real scale experiment

2023

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Salvatore Manfreda
Salvatore Manfreda

H-Index: 24

JEM-EUSO Collaboration contributions to the 37th International Cosmic Ray Conference

arXiv preprint arXiv:2201.12246

2022/1/28

An XAI-based masking approach to improve classification systems

2022

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

XAI approach for addressing the dataset shift problem: BCI as a case study

CEUR WORKSHOP PROCEEDINGS

2022

Francesco Isgrò
Francesco Isgrò

H-Index: 15

Roberto Prevete
Roberto Prevete

H-Index: 9

See List of Professors in Francesco Isgrò University(Università degli Studi di Napoli Federico II)

Co-Authors

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