6 papers
Summarising mortality data with a time-dependent beta latent variable model
Pedro Menezes de Araújo, Isobel Claire Gormley, Thomas Brendan Murphy
Age-specific probabilities of death provide a snapshot of population mortality at the country level at a given point in time. Due to the high dimensionality of the data, summarisin…
Semidegree threshold for spanning trees in oriented graphs
Pedro Araújo, Giovanne Santos, Maya Stein
We show that for all and , there is some such that, if , then every oriented graph on vertices with minimum semidegree at least $(3/8…
Support Vector Machine-Based Burnout Risk Prediction with an Interactive Interface for Organizational Use
Bruno W. G. Teodosio, Mário J. O. T. Lira, Pedro H. M. Araújo +1
Burnout is a psychological syndrome marked by emotional exhaustion, depersonalization, and reduced personal accomplishment, with a significant impact on individual well-being and o…
Multitask LSTM for Arboviral Outbreak Prediction Using Public Health Data
Lucas R. C. Farias, Talita P. Silva, Pedro H. M. Araujo
This paper presents a multitask learning approach based on long-short-term memory (LSTM) networks for the joint prediction of arboviral outbreaks and case counts of dengue, chikung…
Extreme local statistics in random graphs: maximum tree extension counts
Pedro Araújo, Simon Griffiths, Matas Šileikis +1
We consider maximum rooted tree extension counts in random graphs, i.e., we consider M_n = \max_v X_v where X_v counts the number of copies of a given tree in G_{n,p} rooted at ver…
Local central limit theorem for triangle counts in sparse random graphs
Pedro Araújo, Letícia Mattos
Let be the number of copies of a fixed graph in . In 2016, Gilmer and Kopparty conjectured that a local central limit theorem should hold for as long as …