Editorial: European Symposium on Times Series Prediction

Editorial: Time series prediction competition: The CATS benchmark

Neurocomputing

Methodology for long-term prediction of time series

Neurocomputing

OPELM and OPKNN in long-term prediction of time series using projected input data

Neurocomputing

On building local models for inverse system identification with vector quantization algorithms

Neurocomputing

Meta-learning for time series forecasting and forecast combination

Neurocomputing

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series

Neurocomputing

New method for instance or prototype selection using mutual information in time series prediction

Neurocomputing

Automatic detection of onset and cessation of tree stem radius increase using dendrometer data

Neurocomputing

Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy

Neurocomputing

Feature selection for time series prediction - A combined filter and wrapper approach for neural networks

Neurocomputing

Fault detection and other time series opportunities in the petroleum industry

Neurocomputing

A comparative study of Reservoir Computing strategies for monthly time series prediction

Neurocomputing

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling

Neurocomputing