| Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil PS Peixoto, D Marcondes, C Peixoto, SM Oliva PloS one 15 (7), e0235732, 2020 | 130 | 2020 |
| Potential dissemination of epidemics based on Brazilian mobile geolocation data. Part I: Population dynamics and future spreading of infection in the states of Sao Paulo and … PS Peixoto, D Marcondes, C Peixoto, L Queiroz, R Gouveia, A Delgado, ... MedRxiv, 2020.04. 07.20056739, 2020 | 26 | 2020 |
| A resolvent approach to metastability C Landim, D Marcondes, I Seo Journal of the European Mathematical Society, 2023 | 16 | 2023 |
| A snapshot of a pandemic: the interplay between social isolation and covid-19 dynamics in Brazil CP Ferreira, D Marcondes, MP Melo, SM Oliva, CM Peixoto, PS Peixoto Patterns 2 (10), 2021 | 10 | 2021 |
| Assessing randomness in case assignment: the case study of the Brazilian Supreme Court D Marcondes, C Peixoto, JM Stern Law, Probability and Risk 18 (2-3), 97-114, 2019 | 8 | 2019 |
| Metastable behavior of weakly mixing Markov chains: the case of reversible, critical zero-range processes C Landim, D Marcondes, I Seo The Annals of Probability 51 (1), 157-227, 2023 | 7 | 2023 |
| Metastable behavior of reversible, critical zero-range processes C Landim, D Marcondes, I Seo arXiv preprint arXiv:2006.04214, 2020 | 7 | 2020 |
| A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution D Marcondes, C Peixoto, AC Maia Communications in Statistics-Theory and Methods 49 (4), 781-808, 2020 | 4 | 2020 |
| A nonparametric statistical approach to content analysis of items D Marcondes, NR Marcondes Stats 1 (1), 1-13, 2018 | 4 | 2018 |
| Robust parameter estimation in dynamical systems via statistical learning with an application to epidemiological models D Marcondes | 3 | 2020 |
| Discrete morphological neural networks D Marcondes, J Barrera arXiv preprint arXiv:2309.00588, 2023 | 2 | 2023 |
| Feature Selection based on the Local Lift Dependence Scale D Marcondes, A Simonis, J Barrera Entropy 20 (2), 97, 2018 | 2 | 2018 |
| The lattice overparametrization paradigm for the machine learning of lattice operators D Marcondes, J Barrera International Conference on Discrete Geometry and Mathematical Morphology …, 2024 | 1 | 2024 |
| Distribution-free deviation bounds of learning via model selection with cross-validation risk estimation D Marcondes, C Peixoto arXiv preprint arXiv:2303.08777, 2023 | 1 | 2023 |
| The role of prior information and computational power in Machine Learning D Marcondes, A Simonis, J Barrera arXiv preprint arXiv:2211.01972, 2022 | 1 | 2022 |
| Learning the Hypotheses Space from data D Marcondes, A Simonis, J Barrera arXiv preprint arXiv:2001.11578, 2020 | 1 | 2020 |
| Stopping times of random walks on a hypercube C Peixoto, D Marcondes arXiv preprint arXiv:1709.02359, 2017 | 1 | 2017 |
| Back to basics to open the black box D Marcondes, A Simonis, J Barrera Nature Machine Intelligence, 1-4, 2024 | | 2024 |
| Prediction of healthcare costs on consumer direct health plan in the Brazilian context CM Peixoto, D Marcondes, MP Melo, AC Maia, LA Correia arXiv preprint arXiv:2405.15781, 2024 | | 2024 |
| An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks D Marcondes, M Feldman, J Barrera International Conference on Discrete Geometry and Mathematical Morphology …, 2024 | | 2024 |
Adilson SimonisProfessor de Estatística, Universidade de São PauloE-mail confirmado em ime.usp.br
