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Certified Newton schemes for the evaluation of low-genus theta functions
Theta functions and theta constants in low genus, especially genus 1 and 2, can be evaluated at any given point in quasi-linear time in the required...
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Algebra of Orthogonal Series
AbstractAn algebra of orthogonal series has been developed for the operations of multiplication and division, differentiation and integration of...
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TDG4MSF: A temporal decomposition enhanced graph neural network for multivariate time series forecasting
Multivariate time series forecasting is an important issue in industries, agriculture, finance, and other applications. There are many challenging...
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Time Series Classification of Electroencephalography Data
Electroencephalography (EEG) is a non-invasive technique used to record the electrical activity of the brain using electrodes placed on the scalp....
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Time Series
There is a very old story about time series analysis. In ancient Egypt 7000 years ago, people recorded the ups and downs of the Nile River day by day...
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Unlearnable Examples for Time Series
Unlearnable examples (UEs) refer to training samples modified to be unlearnable to Deep Neural Networks (DNNs). These examples are usually generated...
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Time Series
A time series is a series of data points arranged chronologically. Most commonly, the time points are equally spaced. A few examples are the...
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Explaining deep multi-class time series classifiers
Explainability helps users trust deep learning solutions for time series classification. However, existing explainability methods for multi-class...
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DFECTS: A Deep Fuzzy Ensemble Clusterer for Time Series
Time series clustering plays an important role in various fields such as anomaly detection and resource scheduling. With the increase of complexity...
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New mixed portmanteau tests for time series models
This article proposes omnibus portmanteau tests for contrasting adequacy of time series models. The test statistics are based on combining the...
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Time Series Model Interpretation via Temporal Feature Sampling
Model interpretation methods play a critical role in enhancing the applicability of time series neural networks in high-risk domains. However,...
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Time-Series Analysis
Time-series analysis is a statistical technique that studies time-series data. A time series is a sequence of data points indexed in a discrete-time...
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Local Subsequence-Based Distribution for Time Series Clustering
Analyzing the properties of subsequences within time series can reveal hidden patterns and improve the quality of time series clustering. However,...
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Multi-kernel Times Series Outlier Detection
Time series are sequences of observations ordered by time. Detecting outliers in a set of time series is very important for many use cases, including...
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Multivariate Time Series Modelling with Neural SDE Driven by Jump Diffusion
Neural stochastic differential equations (neural SDEs) are effective for modelling complex dynamics in time series data, especially random behavior....
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DeepAR-Attention probabilistic prediction for stock price series
Stock price prediction is a significant research domain, intersecting statistics, finance, and economics. Accurately forecasting stock price trends...
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Finding Local Grou**s of Time Series
Collections of time series can be grouped over time both globally, over their whole time span, as well as locally, over several common time ranges,...
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Adaptive time series segmentation algorithm based on trend turning points and state changes
Time series segmentation is a key problem in time series data mining, which directly affects the accuracy and efficiency of data mining. However,...
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Structure-aware decoupled imputation network for multivariate time series
Handling incomplete multivariate time series is an important and fundamental concern for a variety of domains. Existing time-series imputation...
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Ensemble based fully convolutional transformer network for time series classification
Currently, multivariate time series classification is widely used in various fields, including industrial process control, action recognition, and...
