| The NN-Stacking: Feature weighted linear stacking through neural networks V Coscrato, MH de Almeida Inacio, R Izbicki Neurocomputing 399, 141-152, 2020 | 18 | 2020 |
| Environmental and genetic predictors of human cardiovascular ageing M Shah, MH de A. Inácio, C Lu, PR Schiratti, SL Zheng, A Clement, ... Nature Communications 14 (1), 4941, 2023 | 12 | 2023 |
| Stan-Dev/Pystan: V2. 18.0. 0 A Riddell, A Hartikainen, D Lee, M Inacio, D Chen, KC Arnold, ... Zenodo, 2018 | 8 | 2018 |
| Distance assessment and analysis of high-dimensional samples using variational autoencoders M Inacio, R Izbicki, B Gyires-Tóth Information Sciences 557, 407-420, 2021 | 6 | 2021 |
| Comparing two populations using Bayesian Fourier series density estimation MH de Almeida Inácio, R Izbicki, LE Salasar Communications in Statistics-Simulation and Computation 49 (1), 261-282, 2020 | 5 | 2020 |
| NLS: an accurate and yet easy-to-interpret regression method V Coscrato, MHA Inácio, T Botari, R Izbicki arXiv preprint arXiv:1910.05206, 2019 | 4 | 2019 |
| Cardiac age prediction using graph neural networks MHA Inácio, M Shah, M Jafari, N Shehata, Q Meng, W Bai, A Gandy, ... MedRxiv, 2023.04. 19.23287590, 2023 | 1 | 2023 |
| Monte Carlo simulation studies on Python using the sstudy package with SQL databases as storage MHA Inácio arXiv preprint arXiv:2004.14479, 2020 | 1 | 2020 |
| Comparing two populations using Bayesian Fourier series density estimation MHA Inacio Universidade Federal de São Carlos, 2017 | 1 | 2017 |
| Introdução ao Stan como ferramenta de inferência bayesiana MH de Almeida Inácio URL https://marcoinacio. com/stan. Versao 1 (3), 2017 | 1 | 2017 |
| NLS: An accurate and yet easy-to-interpret prediction method V Coscrato, MHA Inácio, T Botari, R Izbicki Neural Networks 162, 117-130, 2023 | | 2023 |
| Spatially resolved cardiac GWAS-common variants associated with regional patterns of cardiac remodelling C Lu, P Inglese, MHA Inacio, A de Marvao, M Shah, KA McGurk, ... HUMAN HEREDITY 88 (SUPPL 1), 52-52, 2023 | | 2023 |
| Perspectives on Variational Autoencoders MH de Almeida Inácio | | 2022 |
| What If the Forecaster Knew? Assessing Forecast Reliability via Simulation M Inacio, R Izbicki, D Lopes, MA Diniz, LE Salasar, JCP Ferreira Trends in Computational and Applied Mathematics 23, 175-192, 2022 | | 2022 |
| Bayesian superposition of pure-birth destructive cure processes for tumor latency J Rodrigues, MHA Inacio, AK Suzuki, F Raimundo da Silva, ... Communications in Statistics-Simulation and Computation 49 (12), 3240-3253, 2020 | | 2020 |
| Wisdom of the crowds forecasting the 2018 FIFA Men's World Cup MHA Inácio, R Izbicki, DL Lopes, LE Salasar, J Poloniato, MA Diniz arXiv preprint arXiv:2008.13005, 2020 | | 2020 |
| Conditional independence testing, two sample comparison and density estimation using neural networks MHA Inácio Universidade Federal de São Carlos, 2020 | | 2020 |
| Wisdom of the crowds forecasting the 2018 FIFA Men's World Cup MH de Almeida Inácio, R Izbicki, D Lourenço Lopes, LE Salasar, ... arXiv e-prints, arXiv: 2008.13005, 2020 | | 2020 |
| Conditional independence testing, two sample comparison and density estimation using neural networks MH de Almeida Inácio | | 2020 |
| Simulation studies on Python using sstudy package with SQL databases as storage. MH de Almeida Inácio CoRR, 2020 | | 2020 |
Rafael IzbickiFederal University of São Carlos在 ufscar.br 的电子邮件经过验证
