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 2181–2190 of 6748 papers

Title	Date	Tasks	Status
Approximate Collapsed Gibbs Clustering with Expectation Propagation	Jul 19, 2018	ClusteringTime Series	—Unverified
tsmp: An R Package for Time Series with Matrix Profile	Apr 18, 2019	ArticlesSemantic Segmentation	—Unverified
Clustering Macroeconomic Time Series	Jul 18, 2018	ClusteringTime Series	—Unverified
Clustering Interval-Censored Time-Series for Disease Phenotyping	Feb 13, 2021	ClusteringTime Series	—Unverified
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data	Apr 25, 2021	Data AugmentationGeneral Classification	—Unverified
Energy Predictive Models with Limited Data using Transfer Learning	Jun 6, 2019	Demand ForecastingTime Series	—Unverified
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models	Aug 24, 2021	ArticlesBIG-bench Machine Learning	—Unverified
Bayesian Neural Networks for Macroeconomic Analysis	Nov 9, 2022	Time SeriesTime Series Analysis	—Unverified
Clustering individuals based on multivariate EMA time-series data	Dec 2, 2022	ClusteringClustering Multivariate Time Series	—Unverified
Clustering high dimensional meteorological scenarios: results and performance index	Dec 14, 2020	ClusteringDimensionality Reduction	—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