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
Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes	Dec 5, 2020	Gaussian ProcessesTime Series	—Unverified
Gaussian mixture model decomposition of multivariate signals	Sep 1, 2019	Clusteringmodel	—Unverified
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables	Apr 15, 2020	Activity RecognitionGesture Recognition	—Unverified
Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels	Nov 24, 2020	Gaussian ProcessesManagement	—Unverified
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation	Jan 17, 2017	Deep LearningTime Series	—Unverified
Gaussian Process Kernels for Popular State-Space Time Series Models	Oct 25, 2016	Gaussian Processesregression	—Unverified
Fusing Continuous-valued Medical Labels using a Bayesian Model	Mar 23, 2015	Time SeriesTime 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
Fused Lasso for Feature Selection using Structural Information	Feb 26, 2019	feature selectionTime 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