3 citations · 9 across the 5 of their papers we have counts for
5 papers
Archaeological Sites Detection with a Human-AI Collaboration Workflow
Luca Casini, Valentina Orrù, Andrea Montanucci +2
This paper illustrates the results obtained by using pre-trained semantic segmentation deep learning models for the detection of archaeological sites within the Mesopotamian floodp…
Modeling CoVid-19 Diffusion with Intelligent Computational Techniques is not Working. What Are We Doing Wrong?
Marco Roccetti, Giovanni Delnevo
As Europe is experiencing a second violent CoVid-19 storm, with the PCR-based testing system deteriorating due to the high volumes of people to be tested daily, there is a general…
The Barrier of meaning in archaeological data science
Luca Casini, Marco Roccetti, Giovanni Delnevo +2
Archaeologists, like other scientists, are experiencing a data-flood in their discipline, fueled by a surge in computing power and devices that enable the creation, collection, sto…
Categorical data as a stone guest in a data science project for predicting defective water meters
Giovanni Delnevo, Marco Roccetti, Luca Casini
After a one-year long effort of research on the field, we developed a machine learning-based classifier, tailored to predict whether a mechanical water meter would fail with passag…
On the Feasibility of Social Network-based Pollution Sensing in ITSs
Rita Tse, Yubin Xiao, Giovanni Pau +3
Intense vehicular traffic is recognized as a global societal problem, with a multifaceted influence on the quality of life of a person. Intelligent Transportation Systems (ITS) can…