Luis Torgo
Luis Torgo
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Carlos Soares
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Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes
Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes
Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
Constructive Aggregation and its Application to Forecasting with Dynamic Ensembles
Arbitrated Ensemble for Solar Radiation Forecasting
Arbitrated Ensemble for Time Series Forecasting
Resource-bounded Outlier Detection Using Clustering Methods
Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data
Dynamic Discretization of Continuous Attributes.
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