Harbinger
Harbinger is a framework for event detection in time series. It provides an integrated environment for time series anomaly detection, change points, and motif discovery. It provides a broad range…
Time Series Prediction with Integrated Tuning
The Time Series Prediction with Integrated Tuning (TSPredIT) is based on DAL Toolbox with integrated hyperparameter optimization combining machine learning and data preprocessing. It also contains time series outliers removal,…
G-STSM
Spatial-temporal sequential patterns bring knowledge about sequences of events displaced in time and space. Finding such patterns is computationally intensive but of great value for different domains. However, frequent sequential…
TSPred Package for R: Functions for Benchmarking Time Series Prediction
Functions for time series prediction and accuracy assessment using automatic linear modeling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction…
Amê: An Environment to Learn and Analyze Adversarial Search Algorithms Using Stochastic Card Games
Computer Science students are usually enthusiastic about learning Artificial Intelligence (AI) due to the possibility of developing computer games that incorporate AI behaviors. Under this scenario, Search Algorithms (SA)…
STMotif
Spatial-Time Motifs Discovery Abstract: Discovering motifs in time series data has been widely explored. Various techniques have been developed to tackle this problem. However, when it comes to spatial-time series,…