The article considers the task of classifying fractal time series based on the construction of their recurrence plots. Short realizations of EEG signals were used as input data. Two classification ...

Tracking papers on "LLM for time series analysis", more details in Large Language Models for Time Series: A Survey. [New🔥] Our survey paper is accepted to IJCAI 2024, survey track! Left: Taxonomy of ...

Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series into a sum of interpretable components ...

Forecasting of time-series data has gained a lot of traction in modern times. Its application in all industries including healthcare, economics, supply chain, and so on makes it the go-to strategy for ...