Time Series Classification in Reservoir- and Model-Space

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials

(2015) Josif Grabocka et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles

(2015) Anthony Bagnall et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Prediction of telephone calls load using Echo State Network with exogenous variables

(2015) Filippo Maria Bianchi et al.   NEURAL NETWORKS

Emotion recognition from speech signals via a probabilistic echo-state network

(2015) Edmondo Trentin et al.   PATTERN RECOGNITION LETTERS

Learning in the Model Space for Cognitive Fault Diagnosis

(2014) Huanhuan Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Clustering Multivariate Time Series Using Hidden Markov Models

(2014) Shima Ghassempour et al.   International Journal of Environmental Research and Public Health

Real-time detection of epileptic seizures in animal models using reservoir computing

(2012) Pieter Buteneers et al.   EPILEPSY RESEARCH

Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps

(2012) Ali Rodan et al.   NEURAL COMPUTATION

Generative Embedding for Model-Based Classification of fMRI Data

(2011) Kay H. Brodersen et al.   PLoS Computational Biology

Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

(2010) Lexiang Ye et al.   DATA MINING AND KNOWLEDGE DISCOVERY

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

(2010) F. Wyffels et al.   NEUROCOMPUTING