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 2971–2980 of 6748 papers

Title	Date	Tasks	Status
From sleep medicine to medicine during sleep: A clinical perspective	Feb 9, 2021	ManagementTime Series	—Unverified
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction	Mar 12, 2019	Decision MakingTime Series Analysis	—Unverified
Graphical estimation of multivariate count time series	Feb 17, 2023	Time SeriesTime Series Analysis	—Unverified
Graphical LASSO Based Model Selection for Time Series	Oct 5, 2014	Gaussian ProcessesModel Selection	—Unverified
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition	Sep 18, 2021	Anomaly DetectionTime Series	—Unverified
Graphical RNN Models	Dec 15, 2016	Time SeriesTime Series Analysis	—Unverified
From Rules to Regs: A Structural Topic Model of Collusion Research	Oct 6, 2022	Time SeriesTime Series Analysis	—Unverified
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation	Apr 29, 2022	AttributeGraph Learning	—Unverified
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction	Dec 21, 2019	CoLAGraph Neural Network	—Unverified
From learning gait signatures of many individuals to reconstructing gait dynamics of one single individual	May 21, 2020	Time 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