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 4541–4550 of 6748 papers

Title	Date	Tasks	Status
Learning Causally-Generated Stationary Time Series	Feb 22, 2018	Time SeriesTime Series Analysis	—Unverified
Learning code summarization from a small and local dataset	Jun 2, 2022	Code SummarizationTime Series	—Unverified
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition	Aug 27, 2020	Time SeriesTime Series Analysis	—Unverified
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior	Dec 21, 2020	Gaussian ProcessesTime Series	—Unverified
Learning conditional independence structure for high-dimensional uncorrelated vector processes	Sep 13, 2016	Model SelectionTime Series	—Unverified
Learning Continuous-Time Dynamics by Stochastic Differential Networks	Jun 11, 2020	Time SeriesTime Series Analysis	—Unverified
Learning convolution filters for inverse covariance estimation of neural network connectivity	Dec 1, 2014	CPUTime Series	—Unverified
Learning Correlation Space for Time Series	Feb 10, 2018	Time SeriesTime Series Analysis	—Unverified
Learning Deep Representations from Clinical Data for Chronic Kidney Disease	Oct 1, 2018	Time Series Analysis	—Unverified
Learning Differential Operators for Interpretable Time Series Modeling	Sep 3, 2022	Decision MakingMeta-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