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 32613270 of 6748 papers

TitleStatusHype
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior0
Individual Topology Structure of Eye Movement Trajectories0
A Review of Wind Speed and Wind Power Forecasting Techniques0
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM0
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks0
Forecasting with a Panel Tobit Model0
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks0
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network0
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization0
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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