| GM2-gangliosidosis B1 variant: analysis of beta-hexosaminidase alpha gene mutations in 11 patients from a defined region in Portugal. MR dos Santos, A Tanaka, MC Sá Miranda, MG Ribeiro, M Maia, K Suzuki American journal of human genetics 49 (4), 886, 1991 | 43 | 1991 |
| Convolutional support vector models: Prediction of coronavirus disease using chest x-rays M Maia, JS Pimentel, IS Pereira, J Gondim, ME Barreto, A Ara information 11 (12), 548, 2020 | 27 | 2020 |
| Regression random machines: An ensemble support vector regression model with free kernel choice A Ara, M Maia, F Louzada, S Macêdo Expert Systems with Applications 202, 117107, 2022 | 14 | 2022 |
| Biochemical characterization of β‐hexosaminidase in different biological specimens from eleven patients with GM2‐gangliosidosis B1 variant MG Ribeiro, RA Pinto, MR Dos Santos, M Maia, MC Sá Miranda Journal of inherited metabolic disease 14 (5), 715-720, 1991 | 9 | 1991 |
| GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes M Maia, K Murphy, AC Parnell Computational Statistics & Data Analysis: https://doi.org/10.1016/j.csda …, 2022 | 5 | 2022 |
| Local processing of massive databases with R: a national analysis of a Brazilian social programme H Paz, M Maia, F Moraes, R Lustosa, L Costa, S Macêdo, ME Barreto, ... Stats 3 (4), 444-464, 2020 | 4 | 2020 |
| Random machines: A bagged-weighted support vector model with free kernel choice A Ara, M Maia, F Louzada, S Macêdo Journal of Data Science 19 (3), 409-428, 2021 | 3 | 2021 |
| Predictive comparison between random machines and random forests M Maia, AR Azevedo, A Ara Journal of Data Science 19 (4), 593-614, 2021 | 1 | 2021 |
| Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice A Ara, M Maia, S Macêdo, F Louzada arXiv preprint arXiv:2003.12643, 2020 | 1 | 2020 |
| Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare J Esser, M Maia, AC Parnell, J Bosmans, H van Dongen, T Klausch, ... arXiv preprint arXiv:2404.02228, 2024 | | 2024 |
| Package ‘randomMachines’ M Maia, A Ara, G Ribeiro, MM Maia | | 2023 |
| Wavelet Support Vector Censored Regression M Maia, JS Pimentel, R Ospina, A Ara Analytics 2 (2), 410-425, 2023 | | 2023 |
| Wavelet Support Vector Censored Regression. Analytics 2023, 2, 410–425 M Maia, JS Pimentel, R Ospina, A Ara | | 2023 |
| Support Vector Machines in Smile detection: A comparison of auto-tuning standard processes in Gaussian kernel J Gondim, M Maia, ACL Rocha, F Argolo, A Ara, AA Loch Anais do XVII Workshop de Visão Computacional, 118-123, 2021 | | 2021 |
| Predição da taxa de utilização do Programa Bolsa Família na Bahia: um estudo via Máquinas Aleatórias M Maia, MY Noguti, A Ara Bahia Análise & Dados 30 (2), 53-74, 2020 | | 2020 |
| Random Machines: A bagged-weighted support vector model with free kernel choice A Ara, M Maia, S Macêdo, F Louzada arXiv preprint arXiv:1911.09411, 2019 | | 2019 |
| SHINY ADABOOSTING: AN INTERACTIVE DASHBOARD TO ADAPTIVE BOOSTING ALGORITHM MM Marques, A Ara Revista do Seminário Internacional de Estatística com R 4 (1), 8-8, 2019 | | 2019 |
| GM2 gangliosidosis B1 variant: Possible portuguese origin of a causal mutation M Maia, D Alves, R Santos, G Ribeiro, R Pinto, A Guimarães, ... Pediatric Neurology 8 (5), 408, 1992 | | 1992 |
