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 10211030 of 6748 papers

TitleStatusHype
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data0
Beyond Predictions in Neural ODEs: Identification and Interventions0
An Experimental Evaluation of Nearest Neighbour Time Series Classification0
A consistent deterministic regression tree for non-parametric prediction of time series0
Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization0
CHALLENGER: Training with Attribution Maps0
A Wavelet-CNN-LSTM Model for Tailings Pond Risk Prediction0
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction0
An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System0
A wavelet analysis of inter-dependence, contagion and long memory among global equity markets0
Show:102550
← PrevPage 103 of 675Next →

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