Methodology - Time series

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Description

Publications

• 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