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 19111920 of 6748 papers

TitleStatusHype
Demand Forecasting in Smart Grid Using Long Short-Term Memory0
Demand Forecasting of Individual Probability Density Functions with Machine Learning0
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity0
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework0
Comparison of PCA with ICA from data distribution perspective0
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning0
A Review of Mathematical and Computational Methods in Cancer Dynamics0
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders0
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China0
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches0
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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