Machine Learning

Nonparametric quantification of uncertainty in multistep upscaling approaches: a case study on estimating forest biomass in the Brazilian Amazon
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
Is augmentation effective in improving prediction in imbalanced datasets?
Monitoring Viral Infections in Severe Acute Respiratory Syndrome Patients in Brazil
Local uncertainty maps for land-use/land-cover classification without remote sensing and modeling work using a class-conditional conformal approach
Flexible conditional density estimation for time series
The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery