Vincenzo Schiano Di Cola

According to our database, Vincenzo Schiano Di Cola authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A machine learning approach for IoT cultural data.

Francesco Piccialli, Salvatore Cuomo, Vincenzo Schiano Di Cola, Giampaolo Casolla

J. Ambient Intell. Humaniz. Comput., February, 2024

2023

Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning.

Vincenzo Schiano Di Cola, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo

IEEE J. Biomed. Health Informatics, October, 2023

Solving groundwater flow equation using physics-informed neural networks.

Salvatore Cuomo, Mariapia De Rosa, Fabio Giampaolo, Stefano Izzo, Vincenzo Schiano Di Cola

Comput. Math. Appl., September, 2023

Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques.

Vincenzo Schiano Di Cola, Dea M. L. Mango, Alessandro Bottino, Lorenzo Andolfo, Salvatore Cuomo

Frontiers Appl. Math. Stat., February, 2023

2022

Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next.

Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli

J. Sci. Comput., 2022

A machine learning-based approach for mercury detection in marine waters.

Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.

Francesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo, Salvatore Cuomo

Inf. Syst. Frontiers, 2021

A virtual assistant in cultural heritage scenarios.

Salvatore Cuomo, Giocanni Colecchia, Vincenzo Schiano Di Cola, Ugo Chirico

Concurr. Comput. Pract. Exp., 2021

2020

Exploring Unsupervised Learning Techniques for the Internet of Things.

Giampaolo Casolla, Salvatore Cuomo, Vincenzo Schiano Di Cola, Francesco Piccialli

IEEE Trans. Ind. Informatics, 2020

A Deep Learning approach for Path Prediction in a Location-based IoT system.

Francesco Piccialli, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola, Kenli Li

Pervasive Mob. Comput., 2020

Unsupervised learning on multimedia data: a Cultural Heritage case study.

Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Edoardo Prezioso, Vincenzo Schiano Di Cola

Multim. Tools Appl., 2020

Path prediction in IoT systems through Markov Chain algorithm.

Francesco Piccialli, Salvatore Cuomo, Fabio Giampaolo, Giampaolo Casolla, Vincenzo Schiano Di Cola

Future Gener. Comput. Syst., 2020

Decision Making in IoT Environment through Unsupervised Learning.

Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola

IEEE Intell. Syst., 2020

2015

A Mathematical Formulation for Estimating Age Levels in the Carolina Curriculum.

Salvatore Cuomo, Antonella Olivo, Pasquale De Michele, Francesco Piccialli, Vincenzo Schiano Di Cola, Ennio Del Giudice

Proceedings of the HEALTHINF 2015, 2015