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 471480 of 6748 papers

TitleStatusHype
Nonlinear proper orthogonal decomposition for convection-dominated flowsCode1
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time SeriesCode1
On the difficulty of learning chaotic dynamics with RNNsCode1
Dynamical Wasserstein Barycenters for Time-series ModelingCode1
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy GridsCode1
TCube: Domain-Agnostic Neural Time-series NarrationCode1
Graph-Guided Network for Irregularly Sampled Multivariate Time SeriesCode1
Chaos as an interpretable benchmark for forecasting and data-driven modellingCode1
Novel Features for Time Series Analysis: A Complex Networks ApproachCode1
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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