The local paradigm for modeling and control: from neuro-fuzzy to lazy learning

Conditionally dependent strategies for multiple-step-ahead prediction in local learning

Multiple-input multiple-output causal strategies for gene selection

A statistical criterion for reducing indeterminacy in linear causal modeling

Some Take-Home Message about Machine Learning

A Monte Carlo strategy for structure multiple-step-head time series prediction

Computational Intelligence for Time Series Prediction

Combining Lazy Learning, Racing and Subsampling for Effective Feature Selection

Adaptive model selection in Wireless Sensor Networks

Feature selection and microarray data

Machine Learning Strategies for Time Series Prediction