CCA: A contextual compositional approach to discover associations between health determinants and health indicators in situations of anomalies

Epidemiology is important in public health because it studies the health-disease-care process in human populations. One of the main focuses of this science is to identify the determinants factors in…

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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…

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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…

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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)…

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