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 40014010 of 6748 papers

TitleStatusHype
Trading styles and long-run variance of asset prices0
Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA0
Traffic Flows Analysis in High-Speed Computer Networks Using Time Series0
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting0
Traffic-Twitter Transformer: A Nature Language Processing-joined Framework For Network-wide Traffic Forecasting0
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition0
Training Algorithm for Neuro-Fuzzy Network Based on Singular Spectrum Analysis0
Training and Analysing Deep Recurrent Neural Networks0
Training Deep Fourier Neural Networks To Fit Time-Series Data0
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters0
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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