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 21812190 of 6748 papers

TitleStatusHype
An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System0
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives0
A wavelet analysis of inter-dependence, contagion and long memory among global equity markets0
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction0
Deep Transformer Networks for Time Series Classification: The NPP Safety Case0
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series0
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification0
A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour0
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction0
A walk through of time series analysis on quantum computers0
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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