| Interval estimators for a binomial proportion: Comparison of twenty methods AM Pires, C Amado REVSTAT-Statistical Journal 6 (2), 165–197-165–197, 2008 | 112 | 2008 |
| Water distribution systems flow monitoring and anomalous event detection: A practical approach D Loureiro, C Amado, A Martins, D Vitorino, A Mamade, ST Coelho Urban Water Journal 13 (3), 242-252, 2016 | 85 | 2016 |
| Estimating water supply infrastructure cost using regression techniques V Marchionni, M Cabral, C Amado, D Covas Journal of Water Resources Planning and Management 142 (4), 04016003, 2016 | 40 | 2016 |
| A random forest algorithm applied to condition-based wastewater deterioration modeling and forecasting D Vitorino, ST Coelho, P Santos, S Sheets, B Jurkovac, C Amado Procedia Engineering 89, 401-410, 2014 | 31 | 2014 |
| Comparative study of three stochastic models for prediction of pipe failures in water supply systems A Martins, JP Leitão, C Amado Journal of infrastructure systems 19 (4), 442-450, 2013 | 26 | 2013 |
| Experimental repetitions and blockage of large stems at ogee crested spillways with piers P Furlan, M Pfister, J Matos, C Amado, AJ Schleiss Journal of Hydraulic Research 57 (2), 250-262, 2019 | 23 | 2019 |
| Propagation of uncertainty in the water balance calculation in urban water supply systems–A new approach based on high-density regions MA Silva, C Amado, D Loureiro Measurement 126, 356-368, 2018 | 23 | 2018 |
| Stochastic data mining tools for pipe blockage failure prediction P Santos, C Amado, ST Coelho, JP Leitão Urban Water Journal 14 (4), 343-353, 2017 | 22 | 2017 |
| Robust bootstrap with non random weights based on the influence function C Amado, AM Pires Communications in Statistics-Simulation and Computation 33 (2), 377-396, 2004 | 22 | 2004 |
| Spatial and temporal forecasting of water consumption at the DMA level using extensive measurements A Mamade, D Loureiro, D Covas, ST Coelho, C Amado Procedia Engineering 70, 1063-1073, 2014 | 19 | 2014 |
| Water supply infrastructure cost modelling V Marchionni, M Cabral, C Amado, D Covas Procedia Engineering 119, 168-173, 2015 | 18 | 2015 |
| Data reconstruction of flow time series in water distribution systems–a new method that accommodates multiple seasonality R Barrela, C Amado, D Loureiro, A Mamade Journal of Hydroinformatics 19 (2), 238-250, 2017 | 13 | 2017 |
| Statistical experimental design techniques to investigate the strength of adhesively bonded T-joints LS Sutherland, C Amado, C Guedes Soares Composite Structures 159, 445–454, 2017 | 13 | 2017 |
| A comprehensive approach for spatial and temporal water demand profiling to improve management in network areas D Loureiro, A Mamade, M Cabral, C Amado, D Covas Water Resources Management 30 (10), 3443-3457, 2016 | 12 | 2016 |
| Image reconstruction based on circulant matrices E Carrasquinha, C Amado, AM Pires, L Oliveira Signal Processing: Image Communication 63, 72-80, 2018 | 10 | 2018 |
| Analysing the importance of variables for sewer failure prediction G Carvalho, C Amado, RS Brito, ST Coelho, JP Leitão Urban Water Journal 15 (4), 338-345, 2018 | 9 | 2018 |
| Principal axis analysis F Critchley, A Pires, C Amado Unpublished manuscript, 2008 | 9 | 2008 |
| Analysis of household night-time consumption D Loureiro, R Borba, M Rebelo, H Alegre, S Coelho, D Covas, C Amado, ... Integrating water systems. Taylor & Francis Group, London, 557-562, 2010 | 7 | 2010 |
| A literature review of machine learning algorithms for crash injury severity prediction K Santos, JP Dias, C Amado Journal of Safety Research 80, 2022 | 6 | 2022 |
| Robust bootstrap: an alternative to bootstrapping robust estimators C Amado, AM Bianco, GL Boente Boente, AM Pires Instituto Nacional de Estatistica, 2014 | 6 | 2014 |
Marta CabralUniversidade de Lisboa, Instituto Superior TécnicoEmail confirmado em tecnico.ulisboa.pt
