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 4781–4790 of 6748 papers

Title	Date	Tasks	Status
Multi-Task Time Series Forecasting With Shared Attention	Jan 24, 2021	Time SeriesTime Series Analysis	—Unverified
Topological Data Analysis of Task-Based fMRI Data from Experiments on Schizophrenia	Sep 22, 2018	ClusteringCommunity Detection	—Unverified
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce	Apr 16, 2019	Time SeriesTime Series Analysis	—Unverified
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model	Apr 17, 2019	Decision MakingManagement	—Unverified
Community Detection and Growth Potential Prediction from Patent Citation Networks	Apr 23, 2019	ClusteringCommunity Detection	—Unverified
Automatic Model Building in GEFCom 2017 Qualifying Match	Apr 12, 2019	Time SeriesTime Series Analysis	—Unverified
tsmp: An R Package for Time Series with Matrix Profile	Apr 18, 2019	ArticlesSemantic Segmentation	—Unverified
Differential Recurrent Neural Network and its Application for Human Activity Recognition	May 9, 2019	Activity RecognitionHuman Activity Recognition	—Unverified
Capturing Evolution Genes for Time Series Data	May 10, 2019	Time SeriesTime Series Analysis	—Unverified
Inferring Global Dynamics of a Black-Box System Using Machine Learning	May 10, 2019	BIG-bench Machine LearningTime Series	—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