| A literature review of machine learning algorithms for crash injury severity prediction K Santos, JP Dias, C Amado Journal of safety research 80, 254-269, 2022 | 95 | 2022 |
| Risk factors associated with the increase of injury severity of powered two wheelers road accidents victims in Portugal K Santos, JP Dias, C Amado, J Sousa, P Francisco Traffic injury prevention 22 (8), 646-650, 2021 | 11 | 2021 |
| Analysis of Motorcycle Accident Injury Severity and Performance Comparison of Machine Learning Algorithms K Santos, B Firme, JP Dias, C Amado Transportation Research Record, 03611981231172507, 2023 | 5 | 2023 |
| A methodology for crash investigation of motorcycle-cars collisions combining accident reconstruction, finite elements, and experimental tests K Santos, NM Silva, JP Dias, C Amado Engineering failure analysis 152, 107505, 2023 | 4 | 2023 |
| Motorcycle accident reconstruction: Influence of structural deformation or failure K Santos, JP Dias Engineering Failure Analysis 115, 104597, 2020 | 4 | 2020 |
| INJURY PREDICTION FOR VULNERABLE ROAD USERS USING COMPUTATIONAL BIOMECHANICAL MODELS JP Dias, K Santos, P Francisco, S Carvalho, T Costa, JC Santos FORENSIC SCIENCE INTERNATIONAL 277, 123-123, 2017 | | 2017 |
| ANÁLISE DA SEVERIDADE DAS LESÕES DOS PEÕES UTILIZANDO TÉCNICAS DE DATA MINING J Sousa, JP Dias, C Amado, K Santos | | |
| RECONSTITUIÇÃO COMPUTACIONAL DE ACIDENTES: A IMPORTÂNCIA DA RECOLHA DE DADOS NO LOCAL DO ACIDENTE PELAS AUTORIDADES E RESULTADOS IMPORTANTES DAS ANÁLISES K Santos, JP Dias | | |
| FATORES DE RISCO ASSOCIADOS AO AUMENTO DAS LESÕES DOS CONDUTORES DE VEÍCULOS DE DUAS RODAS MOTORIZADOS K Santos, JP Dias, C Amado, J Sousa | | |
