| Reliability-based assessment of existing masonry arch railway bridges VN Moreira, J Fernandes, JC Matos, DV Oliveira Construction and Building Materials 115, 544-554, 2016 | 66 | 2016 |
| A computational framework for infrastructure asset maintenance scheduling R Denysiuk, J Fernandes, JC Matos, LC Neves, U Berardinelli Structural Engineering International 26 (2), 94-102, 2016 | 33 | 2016 |
| Overview on performance predictive models–Application to Bridge Management Systems M Santamaria, J Fernandes, JC Matos International Association for Bridge and Structural Engineering (IABSE), 2019 | 15 | 2019 |
| MobileWeatherNet for LiDAR-Only Weather Estimation MP Da Silva, D Carneiro, J Fernandes, LF Texeira 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 7 | 2023 |
| A labelling strategy to define airtightness performance ranges of naturally ventilated dwellings: An application in southern Europe VEM Cardoso, ML Simões, NMM Ramos, RMSF Almeida, M Almeida, ... Energy and Buildings 269, 112266, 2022 | 6 | 2022 |
| Intrinsic Explainability for End-to-End Object Detection L Fernandes, JND Fernandes, M Calado, JR Pinto, R Cerqueira, ... IEEE Access 12, 2623-2634, 2023 | 5 | 2023 |
| Human errors and corresponding risks in reinforced concrete bridges N Galvão, J Matos, D Oliveira, J Fernandes IABSE Conference, Kuala Lumpur, 323-329, 2018 | 5 | 2018 |
| Weather and meteorological optical range classification for autonomous driving C Pereira, RPM Cruz, JND Fernandes, JR Pinto, JS Cardoso IEEE Transactions on Intelligent Vehicles, 2024 | 4 | 2024 |
| Risk assessment of a railway bridge subjected to a multi-hazard scenario J Fernandes, M Santamaria, JC Matos, DV Oliveira, AA Henriques International Probabilistic Workshop, 661-672, 2021 | 4 | 2021 |
| Explaining bounding boxes in deep object detectors using post hoc methods for autonomous driving systems C Nogueira, L Fernandes, JND Fernandes, JS Cardoso Sensors 24 (2), 516, 2024 | 3 | 2024 |
| Robustness as Performance Indicator for masonry arch bridges VN Moreira, J Fernandes, JC Matos, DV Oliveira COST Action TU1406: eBook of the 1st Workshop Meeting. Geneva: ETH-Zürich, 2016 | 3 | 2016 |
| Comprehensive Review: Machine and Deep Learning in Brain Stroke Diagnosis JND Fernandes, VEM Cardoso, A Comesaña-Campos, A Pinheira Sensors (Basel, Switzerland) 24 (13), 4355, 2024 | 2 | 2024 |
| Towards an airtightness compliance tool based on machine learning models for naturally ventilated dwellings VEM Cardoso, ML Simões, NMM Ramos, RMSF Almeida, M Almeida, ... Energy and Buildings 285, 112922, 2023 | 2 | 2023 |
| Life cycle analysis of a steel railway bridge over the operational period considering different maintenance scenarios: application to a case study JND Fernandes, JC Matos, HS Sousa, MRF Coelho Advances in Civil Engineering 2022 (1), 3010001, 2022 | 2 | 2022 |
| Robustness assessment—A new perspective to achieve a performance indicator H Guimarães, J Fernandes, J Matos, A Henriques 14th International Probabilistic Workshop, 499-507, 2017 | 2 | 2017 |
| Computational framework for a railway bridge maintenance strategies affected by gradual deterioration J Fernandes, JC Matos, DV Oliveira, AA Henriques LIFE-CYCLE ANALYSIS AND ASSESSMENT IN CIVIL ENGINEERING: TOWARDS AN …, 2019 | 1 | 2019 |
| Robustness of an existing pre-stressed concrete bridge H Guimarães, J Fernandes, JC Matos Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil …, 2016 | 1 | 2016 |
| Risk Assessment of a Railway Bridge Subjected to a Multi-hazard Scenario AA Henriques, J Fernandes, M Santamaria, JC Matos, DV Oliveira | | 2021 |
| Risk-based railway infrastructure management systems JND Fernandes PQDT-Global, 2021 | | 2021 |
| Reliability analysis of a post-tensioned railway bridge exposed to corrosion effects MPS Ariza, HS Sousa, JND Fernandes, JC Matos Heriot-Watt University, 2019 | | 2019 |