Francesco Piccialli

About Francesco Piccialli

Francesco Piccialli, With an exceptional h-index of 44 and a recent h-index of 35 (since 2020), a distinguished researcher at Università degli Studi di Napoli Federico II, specializes in the field of Deep Learning, Machine Learning, Artificial Intelligence, Federated Learning.

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

A bacterial biosensor based on gold nanoparticles functionalized by a hydrophobin-chimera and combined with machine learning for user-friendly detection

GRAPHITE—Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency

Speckle noise removal via learned variational models

Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy

On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing

Deep learning forecasting of induced earthquakes through the analysis of precursory signals

Physics-Informed Machine Learning

Deep learning forecasting of large induced earthquakes via precursory signals

Francesco Piccialli Information

University

Position

Assistant Professor (tenure track) of Computer Science

Citations(all)

5367

Citations(since 2020)

4407

Cited By

1849

hIndex(all)

44

hIndex(since 2020)

35

i10Index(all)

93

i10Index(since 2020)

86

Email

University Profile Page

Google Scholar

Francesco Piccialli Skills & Research Interests

Deep Learning

Machine Learning

Artificial Intelligence

Federated Learning

Top articles of Francesco Piccialli

A bacterial biosensor based on gold nanoparticles functionalized by a hydrophobin-chimera and combined with machine learning for user-friendly detection

Sensors and Actuators B: Chemical

2024/7/1

GRAPHITE—Generative Reasoning and Analysis for Predictive Handling in Traffic Efficiency

Information Fusion

2024/6/1

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Speckle noise removal via learned variational models

Applied Numerical Mathematics

2024/6/1

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy

Mathematics and Computers in Simulation

2024/4/23

Salvatore Cuomo
Salvatore Cuomo

H-Index: 20

Francesco Piccialli
Francesco Piccialli

H-Index: 25

On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing

2024/3/20

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Deep learning forecasting of induced earthquakes through the analysis of precursory signals

2024/3/7

Deep learning forecasting of large induced earthquakes via precursory signals

Scientific reports

2024/2/5

Predictive maintenance for offshore oil wells by means of deep learning features extraction

Expert Systems

2024/2

Fabio Giampaolo
Fabio Giampaolo

H-Index: 5

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Model aggregation techniques in federated learning: A comprehensive survey

2023/9/11

Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture

2023/7/2

Investigating random variations of the forward-forward algorithm for training neural networks

2023/6/18

The impact of adversarial attacks on interpretable semantic segmentation in cyber–physical systems

IEEE Systems Journal

2023/6/12

Edoardo Prezioso
Edoardo Prezioso

H-Index: 1

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Meshless methods for American option pricing through physics-informed neural networks

Engineering Analysis with Boundary Elements

2023/6/1

A blockchain-based secure Internet of medical things framework for stress detection

Information Sciences

2023/5/1

Fabio Giampaolo
Fabio Giampaolo

H-Index: 5

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Modelling the COVID-19 infection rate through a Physics-Informed learning approach

2023/3/1

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity

2023/3/1

Unveiling engagement in virtual classrooms: a multimodal analysis

2023/12/15

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Unsupervised Learning for Depth Estimation in Unstructured Environments

2023/12/15

ENCODE-Ensemble neural combination for optimal dimensionality encoding in time-series forecasting

Information Fusion

2023/12/1

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

Co-Authors

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