A molecular screening approach to identify and characterize inhibitors of glioblastoma stem cells K Visnyei, H Onodera, R Damoiseaux, K Saigusa, S Petrosyan, ... Molecular cancer therapeutics 10 (10), 1818-1828, 2011 | 110 | 2011 |
A requirements engineering and management process in concept phase of complex systems BM Arnaut, DB Ferrari, MLO e Souza 2016 IEEE International Symposium on Systems Engineering (ISSE), 1-6, 2016 | 30* | 2016 |
Aircraft air inlet design optimization via surrogate-assisted evolutionary computation A Lombardi, D Ferrari, L Santos Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015 | 17 | 2015 |
Choices and pitfalls concerning mixture-of-experts modeling DB Ferrari, AZ Milioni Pesquisa Operacional 31, 95-111, 2011 | 10 | 2011 |
Regression in R part I: Simple linear regression D Ferrari, T Head UCLA Department of Statistics-Statistical Consulting Center, 2010 | 5 | 2010 |
Uncertainty Modeling and Assessment in Aircraft Evacuation Simulation RP Silva, D Ferrari, LCDC Santos 15th AIAA Aviation Technology, Integration, and Operations Conference, 2699, 2015 | 3 | 2015 |
Metamodelagem de funções determinísticas por composição integrada de especialistas locais C Frisso, RA Scarpel, D Ferrari XLIII Simpósio Brasileiro de Pesquisa Operacional, 2011 | 3 | 2011 |
Uma análise dos resultados do IGC usando DEA AZ Milioni, DB FERRARI, RA Scarpel Anais do XLIII Simpósio Brasileiro de Pesquisa Operacional, 2011 | 3 | 2011 |
Introduction to Regression in R Part II: Multivariate Linear Regression D Ferrari Department of Statistics Statistical Consulting Center, University of …, 2009 | 3 | 2009 |
Investigation of airborne exposure risk to infectious diseases during aircraft boarding process using agent-based modeling BH Pedroso Fabrin, D Ferrari AIAA AVIATION 2022 Forum, 3616, 2022 | 2 | 2022 |
Mesh Effects for 2-D CFD Solutions on a High Lift CRM Wing Section RF de Souza, M Ferrari, D Ferrari AIAA Scitech 2021 Forum, 1361, 2021 | 2 | 2021 |
Quantifying Uncertainty in Computational Fluid Dynamics Drag Computations on Unstructured Meshes MAF Souza, MAS Ferrari, DB Ferrari, JLF Azevedo Journal of Aircraft 56 (4), 1320-1329, 2019 | 2 | 2019 |
METAMODELING TECHNIQUES APPLIED TO AIRCRAFT NOISE PREDICTION BS Aflalo, D Ferrari 10th World Congress on Computational Mechanics, 2012 | 2 | 2012 |
Agent-based simulation of aircraft boarding strategies considering elderly passengers BHP Fabrin, DB Ferrari 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 1 | 2021 |
Measuring proximity of individuals during aircraft boarding process with elderly passengers through agent-based simulation BHP Fabrin, DB Ferrari 2021 Winter Simulation Conference (WSC), 1-11, 2021 | 1 | 2021 |
Análise do efeito do vento, como fator não controlado, nas Ações de Ressuprimento Aéreo na Força Aérea Brasileira MG Gazola, DB Ferrari Anais do XXIII SIGE, Simpósio de Aplicações Operacionais em Áreas de Defesa …, 2021 | 1 | 2021 |
Probabilistic Forecasting in Aircraft Emergency Evacuation Simulation DB Ferrari, RPG Silva, LCC Santos 31st Congress of the International Council of the Aeronautical Sciences, 2018 | 1 | 2018 |
Quantifying Uncertainty in CFD Drag Computations on Unstructured Meshes MA Souza, MA Ferrari, D Ferrari, JLF Azevedo 23rd AIAA Computational Fluid Dynamics Conference, 4296, 2017 | 1 | 2017 |
R Programming II: Data Manipulation and Functions D Ferrari UCLA Department of Statistics, Statistical Consulting Center, 2010 | 1 | 2010 |
Multi-fidelity Data Fusion n Statistical Metamodeling of Aerodynamic Functions DBTPA Ferrari University of California, Los Angeles, 2010 | 1 | 2010 |