SOTAVerified

Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Showing 15111520 of 6748 papers

TitleStatusHype
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization0
Conditional heteroskedasticity in crypto-asset returns0
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis0
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification0
Coordinating users of shared facilities via data-driven predictive assistants and game theory0
Asset volatility forecasting:The optimal decay parameter in the EWMA model0
Conditional Generative Models for Counterfactual Explanations0
Copy the dynamics using a learning machine0
A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow0
Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified