research
∙
04/02/2023
SoftED: Metrics for Soft Evaluation of Time Series Event Detection
Time series event detection methods are evaluated mainly by standard cla...
share
research
∙
12/22/2021
Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning
When mining large datasets in order to predict new data, limitations of ...
research
∙
02/05/2021
Hyperspherical embedding for novel class classification
Deep learning models have become increasingly useful in many different i...
research
∙
06/23/2020
Estimation of COVID-19 under-reporting in Brazilian States through SARI
Due to its impact, COVID-19 has been stressing the academy to search for...
research
∙
05/22/2020
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models
In this paper, we present a cost-based approach for the automatic select...
research
∙
11/30/2019
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting
Applying machine learning models to meteorological data brings many oppo...
research
∙
03/07/2019
SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data
Scientific applications produce a huge amount of data, which imposes ser...
research
∙
05/16/2018
Towards In-transit Analysis on Supercomputing Environments
The drive towards exascale computing is opening an enormous opportunity ...
research
∙
05/08/2018
Parallel Computation of PDFs on Big Spatial Data Using Spark
We consider big spatial data, which is typically produced in scientific ...
research
∙
08/24/2015
