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 37113720 of 6748 papers

TitleStatusHype
Revealing hidden dynamics from time-series data by ODENet0
Reverse Engineering Chemical Reaction Networks from Time Series Data0
Review of automated time series forecasting pipelines0
Review of Clustering Methods for Functional Data0
Review of Data-centric Time Series Analysis from Sample, Feature, and Period0
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators0
Revisited Large Language Model for Time Series Analysis through Modality Alignment0
Revisiting Causality Inference in Memory-less Transition Networks0
Revisiting clustering as matrix factorisation on the Stiefel manifold0
Revisiting Deep Architectures for Head Motion Prediction in 360° Videos0
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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