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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1381–1390 of 6748 papers

Title	Date	Tasks	Status
Covariance shrinkage for autocorrelated data	Dec 1, 2014	EEGElectroencephalogram (EEG)	—Unverified
CoVaR with volatility clustering, heavy tails and non-linear dependence	Sep 22, 2020	ClusteringTime Series	—Unverified
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction	Jun 16, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction	May 10, 2020	regressionTime Series Analysis	—Unverified
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19	Oct 18, 2020	Time SeriesTime Series Analysis	—Unverified
A Multi-Scale Tensor Network Architecture for Classification and Regression	Jan 22, 2020	ClassificationGeneral Classification	—Unverified
A Deep Learning Approach for COVID-19 Trend Prediction	Aug 9, 2020	Deep LearningTime Series	—Unverified
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting	Feb 2, 2019	ClusteringDenoising	—Unverified
A Soft Computing Approach for Selecting and Combining Spectral Bands	Nov 10, 2020	ClassificationGeneral Classification	—Unverified
A multi-scale symmetry analysis of uninterrupted trends returns of daily financial indices	Aug 27, 2019	Time SeriesTime Series Analysis	—Unverified

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified