Methodology - Time series

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Descripción

Publicaciones

• Unsupervised feature based algorithms for time series extrinsic regression
• Machine Learning Applications in Real-World Time Series Problems
• A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
• A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation
• Studying the effect of different Lp norms in the context of Time Series Ordinal Classification
• A new approach for optimal offline time-series segmentation with error bound guarantee
• Time series clustering based on the characterisation of segment typologies
• A new approach for optimal time-series segmentation
• Predicción de altura de ola mediante discretización basada en distribuciones utilizando clasificación ordinal
• Time series data mining: preprocessing, analysis, segmentation and prediction. Applications
• Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation
• Detección y predicción de segmentos de altura de olas extremas
• Time series clustering based on the characterisation of segment typologies
• Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation
• Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos
• Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks