| Modeling of the influence of chemical composition, sintering temperature, density, and thickness in the light transmittance of four zirconia dental prostheses YR Fonseca, CN Elias, SN Monteiro, HES Dos Santos, C Dos Santos Materials 12 (16), 2529, 2019 | 25 | 2019 |
| Contextual Inverse Optimization: Offline and Online Learning O Besbes, Y Fonseca, I Lobel Operations Research, 2023 | 20 | 2023 |
| Boost: Boosting smooth trees for partial effect estimation in nonlinear regressions Y Fonseca, M Medeiros, G Vasconcelos, A Veiga arXiv preprint arXiv:1808.03698, 2018 | 18 | 2018 |
| ArCo: An R package to Estimate Artificial Counterfactuals. YR Fonseca, RM Prates, MC Medeiros, GFR Vasconcelos R J. 10 (1), 91, 2018 | 16 | 2018 |
| Relação entre os parâmetros de rugosidade 3D ea molhabilidade do titânio com grãos micrométricos e sub-micrométricos GB Leite, YR Fonseca, AV Gomes, CN Elias Matéria (Rio de Janeiro) 25 (2), e-12655, 2020 | 11 | 2020 |
| Signaling competition in two-sided markets O Besbes, Y Fonseca, I Lobel, F Zheng Available at SSRN 4451693, 2023 | 6 | 2023 |
| Extensiometric analysis of strain in craniofacial bones during implant-supported palatal expansion CN Elias, DJ Fernandes, DS Zanivan, YR Fonseca Journal of the Mechanical Behavior of Biomedical Materials 76, 104-109, 2017 | 6 | 2017 |
| ArCo: Artificial Counterfactual Package YR Fonseca, R Masini, MC Medeiros, GF Vasconcelos R package.[53], 2017 | 5 | 2017 |
| Statistical Learning and Inverse Problems: A Stochastic Gradient Approach YR Fonseca, YF Saporito Advances in Neural Information Processing Systems 2022, 2022 | 4 | 2022 |
| Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients Y Fonseca, C Peixoto, Y Saporito arXiv preprint arXiv:2402.05639, 2024 | 2 | 2024 |
| Online Learning from Optimal Actions O Besbes, Y Fonseca, I Lobel Conference on Learning Theory, 586-586, 2021 | 2 | 2021 |
| Relationship between 3D surface roughness parameters and wettability in titanium with micrometric and sub-micrometric grains sizes Gustavo Boehmer Leite 1, Yuri Resende Fonseca GB Leite, YR Fonseca, AV Gomes, CN Elias Matéria (Rio de Janeiro) 25, e-12655, 2020 | 2 | 2020 |
| Caracterização das ligas Ti-43Nb e Ti-30Nb-8Zn YR FONSECA Ministério da Defesa, Exército Brasileiro, Departamento de ciência e …, 2016 | 2 | 2016 |
| BooST: BOOSTING SMOOTH TRANSITION REGRESSION TREES FOR PARTIAL EFFECT ESTIMATION IN NONLINEAR REGRESSIONS YR Fonseca, MC Medeiros, GFR Vasconcelos, A Veiga | 1 | |
| Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients CFL Peixoto, YF Saporito, YR Fonseca Proceeding Series of the Brazilian Society of Computational and Applied …, 2025 | | 2025 |
| Constrained Learning for Causal Inference and Semiparametric Statistics TT Cai, Y Fonseca, K Hou, H Namkoong arXiv preprint arXiv:2405.09493, 2024 | | 2024 |
| Constrained Learning for Causal Inference and Semiparametric Statistics T Tianhui Cai, Y Fonseca, K Hou, H Namkoong arXiv e-prints, arXiv: 2405.09493, 2024 | | 2024 |
| Learning from Optimal Actions: Theory and Empirical Analysis in Digital Platforms YR Fonseca Columbia University, 2024 | | 2024 |
| Tree-Based Model for Estimating the Local Volatility Surface YR Fonseca | | 2018 |
| COBEM-2017-1016 MECHANICAL PROPERTIES OF Ti-47Nb AND Ti-30Nb-8Zr ALLOYS E dos Santos Monteiro, YF Resende, ACC de Almeida, DJ Fernandes, ... | | |
Carlos EliasInstituto Militar de EngenhariaAdresse e-mail validée de ime.eb.br
