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:

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

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

The use of optical camera for river turbidity monitoring

Dynamic Local Filters in Graph Convolutional Neural Networks

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

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

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

Università degli Studi di Napoli Federico II

Google Scholar

View Google Scholar Profile

Francesco Isgrò Skills & Research Interests

Computer vision

Machine Learning

Top articles of Francesco Isgrò

Title

Journal

Author(s)

Publication Date

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

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

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

Khim Cathleen Saddi

Domenico Miglino

Francesco Isgrò

Paolo Tasseron

Matteo Poggi

...

2024/3/7

The use of optical camera for river turbidity monitoring

EGU General Assembly Conference Abstracts

Domenico Miglino

Seifeddine Jomaa

Michael Rode

Francesco Isgro

Khim Cathleen Saddi

...

2023/5

Dynamic Local Filters in Graph Convolutional Neural Networks

Andrea Apicella

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/9/5

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

Heliyon

Mario Verdicchio

Valentina Brancato

Carlo Cavaliere

Francesco Isgrò

Marco Salvatore

...

2023/3/1

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

SHAP-based explanations to improve classification systems

Andrea Apicella

Salvatore Giugliano

Francesco Isgrò

Roberto Prevete

2023

Strategies to exploit XAI to improve classification systems

Andrea Apicella

Luca Di Lorenzo

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/7/26

Adaptive filters in graph convolutional neural networks

Pattern Recognition

Andrea Apicella

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2023/12/1

Utilizing Unmanned Aerial Systems in River Water Quality Variability Monitoring

Khim Cathleen Saddi

Domenico Miglino

Seifeddine Jomaa

Michael Rode

Francesco Isgro

...

2023

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

IEEE Transactions on Instrumentation and Measurement

Pasquale Arpaia

Francesco Caputo

Antonella Cioffi

Antonio Esposito

Francesco Isgrò

2023/6/12

Toward the Improvement of Probabilistic Classifiers Using Ontologies

Andrea Apicella

Anna Corazza

Francesco Isgrò

Roberto Prevete

2023/10/25

Monitoring water turbidity with camera: a real scale experiment

Domenico Miglino

Khim Cathleen Saddi

Francesco Isgrò

Seifeddine Jomaa

Michael Rode

...

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

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

arXiv preprint arXiv:2201.12246

G Abdellaoui

S Abe

JH Adams Jr

D Allard

G Alonso

...

2022/1/28

Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems

Knowledge-Based Systems

Andrea Apicella

Salvatore Giugliano

Francesco Isgrò

Roberto Prevete

2022/11/14

An XAI-based masking approach to improve classification systems

Andrea Apicella

Salvatore Giugliano

Francesco Isgrò

Andrea Pollastro

Roberto Prevete

2022

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

Co-Authors

H-index: 53
Emanuele Trucco, FRSA, FIAPR, FBMVA, FAAIA

Emanuele Trucco, FRSA, FIAPR, FBMVA, FAAIA

University of Dundee

H-index: 48
alessandro verri

alessandro verri

Università degli Studi di Genova

H-index: 30
domenico tegolo

domenico tegolo

Università degli Studi di Palermo

H-index: 30
Francesca Odone

Francesca Odone

Università degli Studi di Genova

H-index: 21
Guglielmo Tamburrini

Guglielmo Tamburrini

Università degli Studi di Napoli Federico II

H-index: 20
Roberto Prevete

Roberto Prevete

Università degli Studi di Napoli Federico II

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