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 14711480 of 6748 papers

TitleStatusHype
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators0
Conditional Loss and Deep Euler Scheme for Time Series Generation0
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE0
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables0
A Soft Computing Approach for Selecting and Combining Spectral Bands0
Continuous Sign Language Recognition via Temporal Super-Resolution Network0
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting0
Among-site variability in the stochastic dynamics of East African coral reefs0
Artificial neural network as a universal model of nonlinear dynamical systems0
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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