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 1551–1560 of 6748 papers

Title	Date	Tasks	Status
Covariance shrinkage for autocorrelated data	Dec 1, 2014	EEGElectroencephalogram (EEG)	—Unverified
A Study of Joint Graph Inference and Forecasting	Sep 10, 2021	Graph LearningTime Series	—Unverified
CoVaR with volatility clustering, heavy tails and non-linear dependence	Sep 22, 2020	ClusteringTime Series	—Unverified
Modeling Macroeconomic Variations After COVID-19	Mar 3, 2021	Time SeriesTime Series Analysis	—Unverified
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning	Apr 23, 2021	Ensemble LearningMeta-Learning	—Unverified
Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution	Oct 5, 2020	Time SeriesTime Series Analysis	—Unverified
Time Series Analysis and Modeling to Forecast: a Survey	Mar 31, 2021	SurveyTime Series	—Unverified
COVID-19 Hospitalizations Forecasts Using Internet Search Data	Feb 3, 2022	Decision MakingTime Series	—Unverified
Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent	Sep 11, 2020	Time SeriesTime Series Analysis	—Unverified
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics	Sep 23, 2022	Anomaly DetectionTime Series	—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