6 citations · 11 across the 4 of their papers we have counts for
4 papers
Discovering equations from data: symbolic regression in dynamical systems
Beatriz R. Brum, Luiza Lober, Isolde Previdelli +1
The process of discovering equations from data lies at the heart of physics and in many other areas of research, including mathematical ecology and epidemiology. Recently, machine…
Parameter Inference in Non-linear Dynamical Systems via Recurrence Plots and Convolutional Neural Networks
L. Lober, M. S. Palmero, F. A. Rodrigues
Inferring control parameters in non-linear dynamical systems is an important task in analysing general dynamical behaviours, particularly in the presence of inherently deterministi…
Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities
Luiza Lober, Kirstin O. Roster, Francisco A. Rodrigues
Supervised machine learning models and public surveillance data has been employed for infectious disease forecasting in many settings. These models leverage various data sources ca…
Neural networks for dengue forecasting: a systematic review
Luiza Lober, Francisco A. Rodrigues, Kirstin Roster
Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of pub…