Comparison of Statistical and Machine-Learning Models on Road Traffic Accident Severity Classification. - Paulo Infante; Gonçalo Jacinto; Anabela Afonso; Leonor Rego; Vítor Nogueira; Paulo Quaresma; José Saias; Daniel Santos 004; Pedro Nogueira; Marcelo Silva 002; Rosalina Pisco Costa; Patrícia Gois; et al. (Comput., 2022)

Learning from Accidents: Spatial Intelligence Applied to Road Accidents with Insights from a Case Study in Setúbal District, Portugal. - Pedro Nogueira; Marcelo Silva 002; Paulo Infante; Vítor Nogueira; Paulo Rebelo Manuel; Anabela Afonso; Gonçalo Jacinto; Leonor Rego; Paulo Quaresma; José Saias; Daniel Santos 004; Patrícia Gois (ISPRS Int. J. Geo Inf., 2023)

Prediction of Road Traffic Accidents on a Road in Portugal: A Multidisciplinary Approach Using Artificial Intelligence, Statistics, and Geographic Information Systems. - Paulo Infante; Gonçalo Jacinto; Daniel Santos 004; Pedro Nogueira; Anabela Afonso; Paulo Quaresma; Marcelo Silva 002; Vítor Nogueira; Leonor Rego; José Saias; Patrícia Gois; Paulo Rebelo Manuel (Inf., 2023)

Mapping the Mine: Combining Portable X-ray Fluorescence, Spectroradiometry, UAV, and Sentinel-2 Images to Identify Contaminated Soils - Application to the Mostardeira Mine (Portugal). - Pedro Nogueira; Marcelo Silva 002; José Roseiro; Miguel Potes; Gonçalo Rodrigues (Remote. Sens., 2023)