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 241250 of 6748 papers

TitleStatusHype
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdownCode1
DEPTS: Deep Expansion Learning for Periodic Time Series ForecastingCode1
A bio-inspired bistable recurrent cell allows for long-lasting memoryCode1
Detection of gravitational-wave signals from binary neutron star mergers using machine learningCode1
Affect2MM: Affective Analysis of Multimedia Content Using Emotion CausalityCode1
Differentiable Compositional Kernel Learning for Gaussian ProcessesCode1
A biologically plausible neural network for Slow Feature AnalysisCode1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic ForecastingCode1
Diffusion models for missing value imputation in tabular dataCode1
Changing Fashion CulturesCode1
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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