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)

Laughter in task-based settings: whom we talk to affects how, when, and how often we laugh. - Catarina Branco; Isabel Trancoso; Paulo Infante; Khiet P. Truong (INTERSPEECH, 2023)

Clinical Screening Prediction in the Portuguese National Health Service: Data Analysis, Machine Learning Models, Explainability and Meta-Evaluation. - Teresa Gonçalves 001; Rute Veladas; Hua Yang; Renata Vieira; Paulo Quaresma; Paulo Infante; Cátia Sousa Pinto; João Oliveira; Maria Cortes Ferreira; Jéssica Morais; Ana Raquel Pereira; Nuno Fernandes; et al. (Future Internet, 2023)

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)