Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction. - Daniel Santos 004; José Saias; Paulo Quaresma; Vítor Beires Nogueira (Comput., 2021)

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)

A Galician-Portuguese Generative Model. - Pablo Gamallo 001; Pablo Rodríguez; Daniel Santos 004; Susana Sotelo; Nuno Miquelina; Silvia Paniagua; Daniela Schmidt; Iria de-Dios-Flores; Paulo Quaresma; Daniel Bardanca; José Ramom Pichel Campos; Vítor Nogueira; et al. (EPIA (3), 2024)

Performance Evaluation of NLP Models for European Portuguese: Multi-GPU/Multi-node Configurations and Optimization Techniques. - Daniel Santos 004; Nuno Miquelina; Daniela Schmidt; Paulo Quaresma; Vítor Beires Nogueira (ICA3PP (6), 2024)