heimdall: Drift Adaptable Models
By analyzing streaming datasets, it is possible to observe significant changes in the data distribution or models' accuracy during their prediction (concept drift). The goal of 'heimdall' is to measure…
harbinger: A Unified Time Series Event Detection Framework
By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In…
daltoolbox: Leveraging Experiment Lines to Data Analytics
The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the…
tspredit: Time Series Prediction Integrated Tuning
Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to…
daltoolboxdp: Data Pre-Processing Extensions
An important aspect of data analytics is related to data management support for artificial intelligence. It is related to preparing data correctly. This package provides extensions to support data preparation…
gstsm: Generalized Spatial-Time Sequence Miner
Implementations of the algorithms present article Generalized Spatial-Time Sequence Miner, original title (Castro, Antonio; Borges, Heraldo ; Pacitti, Esther ; Porto, Fabio ; Coutinho, Rafaelli ; Ogasawara, Eduardo . Generalização…
TSPred: Functions for Benchmarking Time Series Prediction
Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for…
STMotif R Package
The goal of the STSMotif R package is to allow the discovery and ranking of a motif in spatial-time series quickly and efficiently. Available at CRAN: https://CRAN.R-project.org/package=STMotif Code repository…
Supporting the Learning of Evolution Theory Using an Educational Simulator
Students: Diego Vaz Caetano, Josué Dias Cardoso and Luana Guimarães Piani Ferreira Collaborators: Raphael Abreu, João Quadros, Joel Santos Advisors: Leonardo Lignani, Eduardo Ogasawara Abstract The use of simulators as…
Orthographic Educational Game for Portuguese Language Countries
Authors: Paula Chaves, Luan Paschoal, Tauan Velasco, Tiago Bento Sampaio, Julliany Brandão, Carlos Otávio Schocair, João Quadros, Talita Oliveira, Eduardo Ogasawara Abstract The new orthographic agreement introduces some changes in…