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 12411250 of 6748 papers

TitleStatusHype
Interpretable Classification of Early Stage Parkinson's Disease from EEG0
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference0
A Comparative Study of Reservoir Computing for Temporal Signal Processing0
Composition Properties of Inferential Privacy for Time-Series Data0
Compressive Nonparametric Graphical Model Selection For Time Series0
A Time Series Analysis of Emotional Loading in Central Bank Statements0
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models0
Analysis, Online Estimation, and Validation of a Competing Virus Model0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector0
Show:102550
← PrevPage 125 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