Fabio Giampaolo

About Fabio Giampaolo

Fabio Giampaolo, With an exceptional h-index of 13 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 Data Science, Artificial Intelligence, Machine Learning, Deep 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

Author Correction: Deep learning forecasting of large induced earthquakes via precursory signals

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

Deep learning forecasting of large induced earthquakes via precursory signals

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

Unsupervised Learning for Depth Estimation in Unstructured Environments

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

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning

Fabio Giampaolo Information

University

Position

Ph.D. Student

Citations(all)

1394

Citations(since 2020)

1388

Cited By

62

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Fabio Giampaolo Skills & Research Interests

Data Science

Artificial Intelligence

Machine Learning

Deep Learning

Top articles of Fabio Giampaolo

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

Author Correction: Deep learning forecasting of large induced earthquakes via precursory signals

Scientific Reports

2024/4/22

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

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

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning

2023/11/14

Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment

2023/11/14

Fabio Giampaolo
Fabio Giampaolo

H-Index: 5

Francesco Piccialli
Francesco Piccialli

H-Index: 25

Synthetic and Privacy-Preserving Traffic Trace Generation using Generative AI Models for Training Network Intrusion Detection Systems

Available at SSRN 4643250

2023/11/4

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management

2023/10/25

Prediction method and related system

2023/10/19

FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples

Information Fusion

2023/10/1

Edoardo Prezioso
Edoardo Prezioso

H-Index: 1

Fabio Giampaolo
Fabio Giampaolo

H-Index: 5

Solving groundwater flow equation using physics-informed neural networks

Computers & Mathematics with Applications

2023/9/1

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

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

Engineering Analysis with Boundary Elements

2023/6/1

Statistical arbitrage in the stock markets by the means of multiple time horizons clustering

Neural Computing and Applications

2023/6

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

See List of Professors in Fabio Giampaolo University(Università degli Studi di Napoli Federico II)

Co-Authors

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