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 13311340 of 6748 papers

TitleStatusHype
Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series0
Coordinating users of shared facilities via data-driven predictive assistants and game theory0
Cough Detection Using Hidden Markov Models0
Cryptocurrency Market Consolidation in 2020--20210
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process0
An anomaly prediction framework for financial IT systems using hybrid machine learning methods0
A statistical test of market efficiency based on information theory0
An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation0
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems0
A Statistical Machine Learning Approach to Yield Curve Forecasting0
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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