Automated geometric shape deviation modeling for additive manufacturing systems via Bayesian neural networks RSB Ferreira, A Sabbaghi, Q Huang IEEE Transactions on Automation Science and Engineering 17 (2), 584-598, 2019 | 64 | 2019 |
Data-driven and probabilistic learning of the process-structure-property relationship in solution-grown tellurene for optimized nanomanufacturing of high-performance … Y Wang, RSB Ferreira, R Wang, G Qiu, G Li, Y Qin, DY Peide, A Sabbaghi, ... Nano Energy 57, 480-491, 2019 | 51 | 2019 |
A predictive model of chronic kidney disease in patients with congenital anomalies of the kidney and urinary tract IG Quirino, CS Dias, MA Vasconcelos, IV Poggiali, KC Gouvea, ... Pediatric nephrology 29 (12), 2357-2364, 2014 | 21 | 2014 |
System and method for automated geometric shape deviation modeling for additive manufacturing RSB Ferreira, A Sabbaghi, Q Huang, K Amstutz US Patent 11,150,633, 2021 | 18 | 2021 |
A randomized trial on the effects of CitrusiM®(Citrus sinensis (L.) Osbeck dried extract) on body composition CS Kegele, J Oliveira, T Magrani, A Ferreira, R de Souza Ferreira, ... Clinical Nutrition Experimental 27, 29-36, 2019 | 5 | 2019 |
Interval-censored data with misclassification: a Bayesian approach MC Pires, EA Colosimo, GA Veloso, RSB Ferreira Journal of Applied Statistics 48 (5), 907-923, 2021 | 1 | 2021 |
Análise de sobrevivência com erros de classificação desconhecidos RSB Ferreira Universidade Federal de Minas Gerais, 2013 | | 2013 |