Fabio Giampaolo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 46

Top Topics

Unsupervised Learning

Emergency Management

Top Venues

Neural Comput. Appl.

DASC/PiCom/CBDCom/CyberSciTech

Future Gener. Comput. Syst.

Publications

Federico Gatta, Fabio Giampaolo, Diletta Chiaro, Francesco Piccialli
Predictive maintenance for offshore oil wells by means of deep learning features extraction. Expert Syst. J. Knowl. Eng. 41 (2) (2024)
Giuseppe Aceto, Fabio Giampaolo, Ciro Guida, Stefano Izzo, Antonio Pescapè, Francesco Piccialli, Edoardo Prezioso
Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems. J. Netw. Comput. Appl. 229 (2024)
Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli
Unsupervised Learning for Depth Estimation in Unstructured Environments. BigData (2023)
Edoardo Prezioso, Fabio Giampaolo, Carlo Mazzocca, Armir Bujari, Valeria Mele, Flora Amato
Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario. IEEE Internet Things J. 10 (4) (2023)
Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Diletta Chiaro, Salvatore Cuomo, Valerio Bellandi, Francesco Piccialli
A Privacy Preserving Service-Oriented Approach for Data Anonymization Through Deep Learning. DASC/PiCom/CBDCom/CyberSciTech (2023)
Fabio Giampaolo, Federico Gatta, Edoardo Prezioso, Salvatore Cuomo, Mengchu Zhou, Giancarlo Fortino, Francesco Piccialli
ENCODE - Ensemble neural combination for optimal dimensionality encoding in time-series forecasting. Inf. Fusion 100 (2023)
Federico Gatta, Carmela Iorio, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo
Statistical arbitrage in the stock markets by the means of multiple time horizons clustering. Neural Comput. Appl. 35 (16) (2023)
Stefano Izzo, Marzia Canzaniello, Martina Savoia, Fabio Giampaolo, Francesco Piccialli
Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment. DASC/PiCom/CBDCom/CyberSciTech (2023)
Edoardo Prezioso, Fabio Giampaolo, Stefano Izzo, Martina Savoia, Francesco Piccialli
Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. ICNSC (2023)
Fabio Giampaolo, Stefano Izzo, Stefano Siccardi, Antongiacomo Polimeno, Valerio Bellandi, Francesco Piccialli
Real-Time Anonymization of Sensitive Personal Data Using a Service-Based Architecture. ICWS (2023)
Vincenzo Schiano Di Cola, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo
Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Fabio Giampaolo, Stefano Izzo, Edoardo Prezioso, Francesco Piccialli
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks. IJCNN (2023)
Mariapia De Rosa, Fabio Giampaolo, Francesco Piccialli, Salvatore Cuomo
Modelling the COVID-19 infection rate through a Physics-Informed learning approach. PDP (2023)
Francesco Piccialli, Fabio Giampaolo, David Camacho, Gang Mei
Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19 (2) (2023)
Diletta Chiaro, Edoardo Prezioso, Michele Ianni, Fabio Giampaolo
FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples. Inf. Fusion 98 (2023)
Salvatore Cuomo, Mariapia De Rosa, Fabio Giampaolo, Stefano Izzo, Vincenzo Schiano Di Cola
Solving groundwater flow equation using physics-informed neural networks. Comput. Math. Appl. 145 (2023)
Bruno G. Galuzzi, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Marco Vanoni, Lilia Alberghina, Chiara Damiani, Francesco Piccialli
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity. PDP (2023)
Pian Qi, Diletta Chiaro, Fabio Giampaolo, Francesco Piccialli
A blockchain-based secure Internet of medical things framework for stress detection. Inf. Sci. 628 (2023)
Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli
Neural networks generative models for time series. J. King Saud Univ. Comput. Inf. Sci. 34 (Issue) (2022)
Salvatore Cuomo, Federico Gatta, Fabio Giampaolo, Carmela Iorio, Francesco Piccialli
An unsupervised learning framework for marketneutral portfolio. Expert Syst. Appl. 192 (2022)
Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo
A machine learning-based approach for mercury detection in marine waters. ICDM (Workshops) (2022)
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maizar Raissi, Francesco Piccialli
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next. CoRR (2022)
Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti
A physics-informed learning approach to Bernoulli-type free boundary problems. Comput. Math. Appl. 128 (2022)
Omer Deperlioglu, Utku Kose, Deepak Gupta, Ashish Khanna, Fabio Giampaolo, Giancarlo Fortino
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation. Future Gener. Comput. Syst. 129 (2022)
Fabio Giampaolo, Mariapia De Rosa, Pian Qi, Stefano Izzo, Salvatore Cuomo
Physics-informed neural networks approach for 1D and 2D Gray-Scott systems. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Salvatore Cuomo, Francesco Fato, Lorenzo Ugga, Gaia Spadarella, Renato Cuocolo, Fabio Giampaolo, Francesco Piccialli
A Generative Adversarial Network Approach for Noise and Artifacts Reduction in MRI Head and Neck Imaging. PPAM (2) (2022)
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli
Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next. J. Sci. Comput. 92 (3) (2022)
Stefano Izzo, Edoardo Prezioso, Fabio Giampaolo, Valeria Mele, Vittorio Di Somma, Gang Mei
Classification of urban functional zones through deep learning. Neural Comput. Appl. 34 (9) (2022)
Martina Savoia, Diletta Chiaro, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli
The BIOCHIP project: A Deep Learning approach for multiwell segmentation. DASC/PiCom/CBDCom/CyberSciTech (2022)
Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Francesco Piccialli, G. Dell'Aversana Orabona, Renato Cuocolo, V. Abbate, Lorenzo Ugga, L. Califano
Predictive Medicine for Salivary Gland Tumours Identification Through Deep Learning. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Avishek Garain, Biswarup Ray, Fabio Giampaolo, Juan D. Velásquez, Pawan Kumar Singh, Ram Sarkar
GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals. Neural Comput. Appl. 34 (17) (2022)
Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli
Cut the peaches: image segmentation for utility pattern mining in food processing. ICDM (Workshops) (2022)
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, David Camacho, Giovanni Acampora
Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion. Inf. Fusion 74 (2021)
Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo
The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic. Inf. Syst. Frontiers 23 (6) (2021)
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, Danilo Crisci, Salvatore Cuomo
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data. ACM Trans. Internet Techn. 21 (3) (2021)
Francesco Piccialli, Vittorio Di Somma, Fabio Giampaolo, Salvatore Cuomo, Giancarlo Fortino
A survey on deep learning in medicine: Why, how and when? Inf. Fusion 66 (2021)
Avishek Garain, Arpan Basu, Fabio Giampaolo, Juan D. Velásquez, Ram Sarkar
Detection of COVID-19 from CT scan images: A spiking neural network-based approach. Neural Comput. Appl. 33 (19) (2021)
Francesco Piccialli, Fabio Giampaolo, Alessandro Salvi, Salvatore Cuomo
A robust ensemble technique in forecasting workload of local healthcare departments. Neurocomputing 444 (2021)
Francesco Calabrò, Salvatore Cuomo, Fabio Giampaolo, Stefano Izzo, Carlo Nitsch, Francesco Piccialli, Cristina Trombetti
Deep Learning for the Approximation of a Shape Functional. CoRR (2021)
Francesco Piccialli, Salvatore Cuomo, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola
Path prediction in IoT systems through Markov Chain algorithm. Future Gener. Comput. Syst. 109 (2020)
Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola
Decision Making in IoT Environment through Unsupervised Learning. IEEE Intell. Syst. 35 (1) (2020)
Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Edoardo Prezioso, Vincenzo Schiano Di Cola
Unsupervised learning on multimedia data: a Cultural Heritage case study. Multim. Tools Appl. 79 (45-46) (2020)
Francesco Piccialli, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola, Kenli Li
A Deep Learning approach for Path Prediction in a Location-based IoT system. Pervasive Mob. Comput. 66 (2020)
Kashif Naseer Qureshi, Abeer Iftikhar, Shahid Nazeer Bhatti, Francesco Piccialli, Fabio Giampaolo, Gwanggil Jeon
Trust management and evaluation for edge intelligence in the Internet of Things. Eng. Appl. Artif. Intell. 94 (2020)
Zenan Huo, Gang Mei, Giampaolo Casolla, Fabio Giampaolo
Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia. J. Parallel Distributed Comput. 138 (2020)
Salvatore Cuomo, Fabio Giampaolo, Gerardo Severino
A Travelling Wave Solution for Nonlinear Colloid Facilitated Mass Transport in Porous Media. NUMTA(1) (2019)