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 3501–3510 of 6748 papers

Title	Date	Tasks	Status
Probabilistic graphical model based approach for water mapping using GaoFen-2 (GF-2) high resolution imagery and Landsat 8 time series	Dec 22, 2016	Time SeriesTime Series Analysis	—Unverified
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures	Oct 25, 2021	Time SeriesTime Series Analysis	—Unverified
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso	May 9, 2020	Decision MakingDemand Forecasting	—Unverified
Probabilistic Programming with Gaussian Process Memoization	Dec 17, 2015	Bayesian OptimizationGaussian Processes	—Unverified
Probabilistic Reconciliation of Count Time Series	Jul 19, 2022	Time SeriesTime Series Analysis	—Unverified
Efficient probabilistic reconciliation of forecasts for real-valued and count time series	Oct 5, 2022	Time SeriesTime Series Analysis	—Unverified
Probabilistic Segmentation via Total Variation Regularization	Nov 16, 2015	Density EstimationSegmentation	—Unverified
Probabilistic structure discovery in time series data	Nov 21, 2016	regressionTime Series	—Unverified
Probabilistic Temporal Subspace Clustering	Jul 1, 2017	ClusteringTime Series	—Unverified
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments	Nov 24, 2022	Autonomous DrivingEdge-computing	—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