Fabio Giampaolo

Orcid: 0000-0002-7989-0258

According to our database1, Fabio Giampaolo authored at least 44 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting.
Inf. Fusion, December, 2023

Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning.
IEEE J. Biomed. Health Informatics, October, 2023

Solving groundwater flow equation using physics-informed neural networks.
Comput. Math. Appl., September, 2023

Statistical arbitrage in the stock markets by the means of multiple time horizons clustering.
Neural Comput. Appl., June, 2023

A blockchain-based secure Internet of medical things framework for stress detection.
Inf. Sci., May, 2023

Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario.
IEEE Internet Things J., February, 2023

Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications.
IEEE Trans. Ind. Informatics, 2023

FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples.
Inf. Fusion, 2023

Modelling the COVID-19 infection rate through a Physics-Informed learning approach.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture.
Proceedings of the IEEE International Conference on Web Services, 2023

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment.
Proceedings of the IEEE Intl Conf on Dependable, 2023

A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Unsupervised Learning for Depth Estimation in Unstructured Environments.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning.
IEEE J. Biomed. Health Informatics, 2022

Classification of urban functional zones through deep learning.
Neural Comput. Appl., 2022

GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals.
Neural Comput. Appl., 2022

Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next.
J. Sci. Comput., 2022

Neural networks generative models for time series.
J. King Saud Univ. Comput. Inf. Sci., 2022

Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation.
Future Gener. Comput. Syst., 2022

An unsupervised learning framework for marketneutral portfolio.
Expert Syst. Appl., 2022

Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next.
CoRR, 2022

A physics-informed learning approach to Bernoulli-type free boundary problems.
Comput. Math. Appl., 2022

Physics-informed neural networks approach for 1D and 2D Gray-Scott systems.
Adv. Model. Simul. Eng. Sci., 2022

A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

A machine learning-based approach for mercury detection in marine waters.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Cut the peaches: image segmentation for utility pattern mining in food processing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

The BIOCHIP project: A Deep Learning approach for multiwell segmentation.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data.
ACM Trans. Internet Techn., 2021

Detection of COVID-19 from CT scan images: A spiking neural network-based approach.
Neural Comput. Appl., 2021

The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.
Inf. Syst. Frontiers, 2021

A survey on deep learning in medicine: Why, how and when?
Inf. Fusion, 2021

Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion.
Inf. Fusion, 2021

A robust ensemble technique in forecasting workload of local healthcare departments.
Neurocomputing, 2021

Deep Learning for the Approximation of a Shape Functional.
CoRR, 2021

2020
A Deep Learning approach for Path Prediction in a Location-based IoT system.
Pervasive Mob. Comput., 2020

Unsupervised learning on multimedia data: a Cultural Heritage case study.
Multim. Tools Appl., 2020

Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia.
J. Parallel Distributed Comput., 2020

Path prediction in IoT systems through Markov Chain algorithm.
Future Gener. Comput. Syst., 2020

Decision Making in IoT Environment through Unsupervised Learning.
IEEE Intell. Syst., 2020

Trust management and evaluation for edge intelligence in the Internet of Things.
Eng. Appl. Artif. Intell., 2020

2019
A Travelling Wave Solution for Nonlinear Colloid Facilitated Mass Transport in Porous Media.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019


  Loading...