Data Model for Computer Vision Explainability, Fairness, and Robustness

In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...

Multi-Source Data Modelling to Understand the Effects of Tourism Demand on Air Quality in Italy

The goal of this research is to model and understand the effects of tourism demand on air quality by performing data integration on multi-source data. This research is aimed at researchers and practitioners aiming to perform multidisciplinary research in the fields of data science and geoscience, presenting the methods and challenges that arise...

Modelling finite mixture joint distributions

Building models for an electric vehicles usage data set in order to simulate virtual populations of these electric vehicle users. With these simulated populations charging strategies for electric vehicle users could be developed in order to improve the use of electric vehicles. The modeling is done with copula functions, and are compared with...