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 22012210 of 6748 papers

TitleStatusHype
Cluster-based Feature Importance Learning for Electronic Health Record Time-series0
Adaptive Kernel Estimation of the Spectral Density with Boundary Kernel Analysis0
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series0
Cluster-and-Conquer: A Framework For Time-Series Forecasting0
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series0
Cloud Cover Nowcasting with Deep Learning0
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction0
Enhancing Transformer Efficiency for Multivariate Time Series Classification0
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid0
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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