A Hybrid Forecasting Methodology using Feature Selection and Support Vector Regression. - Jose Guajardo; Jaime Miranda; Richard Weber 002 (HIS, 2005)

The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction. - Sven F. Crone; Jose Guajardo; Richard Weber 002 (DMIN, 2006)

A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns. - Sven F. Crone; Jose Guajardo; Richard Weber 002 (IFIP AI, 2006)

A Forecasting Methodology Using Support Vector Regression and Dynamic Feature Selection. - Jose Guajardo; Richard Weber 002; Jaime Miranda (J. Inf. Knowl. Manag., 2006)

Dynamic Data Mining for Improved Forecasting in Logistics and Supply Chain Management. - Richard Weber; Jose Guajardo (LDIC, 2007)

A model updating strategy for predicting time series with seasonal patterns. - Jose Guajardo; Richard Weber 002; Jaime Miranda (Appl. Soft Comput., 2010)

Open-source End-to-End Digital Beamforming System Modeling. - Jose Guajardo; Ali Niknejad (CoRR, 2025)