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 2861–2870 of 6748 papers

Title	Date	Tasks	Status
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning	May 17, 2019	reinforcement-learningReinforcement Learning	—Unverified
Gaussian mixture model decomposition of multivariate signals	Sep 1, 2019	Clusteringmodel	—Unverified
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals	Sep 22, 2021	Causal Inferencecounterfactual	—Unverified
Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels	Nov 24, 2020	Gaussian ProcessesManagement	—Unverified
Gaussian process imputation of multiple financial series	Feb 11, 2020	ImputationTime Series	—Unverified
Gaussian Process Kernels for Popular State-Space Time Series Models	Oct 25, 2016	Gaussian Processesregression	—Unverified
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks	Mar 22, 2018	Generative Adversarial NetworkTime Series Analysis	—Unverified
Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty	Dec 3, 2021	Time SeriesTime Series Analysis	—Unverified
Gaussian variational approximation with sparse precision matrices	May 18, 2016	State Space ModelsTime Series	—Unverified
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models	Aug 24, 2021	ArticlesBIG-bench Machine Learning	—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