132 citations · 138 across the 3 of their papers we have counts for
5 papers
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani +1
Accurate forecasting is important for decision-makers. Recently, the Amazon rainforest is reaching record levels of the number of fires, a situation that concerns both climate and…
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani +1
The novel coronavirus disease (COVID-19) is a public health problem once according to the World Health Organization up to June 10th, 2020, more than 7.1 million people were infecte…
Multi-Stage Transfer Learning with an Application to Selection Process
Andre Mendes, Julian Togelius, Leandro dos Santos Coelho
In multi-stage processes, decisions happen in an ordered sequence of stages. Many of them have the structure of dual funnel problem: as the sample size decreases from one stage to…
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder
Andre Mendes, Julian Togelius, Leandro dos Santos Coelho
We present a novel framework that can combine multi-domain learning (MDL), data imputation (DI) and multi-task learning (MTL) to improve performance for classification and regressi…
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes
Andre Mendes, Julian Togelius, Leandro dos Santos Coelho
In multi-stage processes, decisions occur in an ordered sequence of stages. Early stages usually have more observations with general information (easier/cheaper to collect), while…