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 3861–3870 of 6748 papers

Title	Date	Tasks	Status
Time Series Clustering for Human Behavior Pattern Mining	Oct 14, 2021	ClusteringHuman Dynamics	—Unverified
Time series cluster kernels to exploit informative missingness and incomplete label information	Jul 10, 2019	Ensemble LearningImputation	—Unverified
Time Series Comparisons in Deep Space Network	Nov 2, 2021	Time SeriesTime Series Analysis	—Unverified
Time Series Compression Based on Adaptive Piecewise Recurrent Autoencoder	Jul 23, 2017	DecoderTime Series	—Unverified
Time Series Counterfactual Inference with Hidden Confounders	Jan 1, 2021	counterfactualCounterfactual Inference	—Unverified
Time Series Data Augmentation for Deep Learning: A Survey	Feb 27, 2020	Anomaly DetectionData Augmentation	—Unverified
Time Series Data Imputation: A Survey on Deep Learning Approaches	Nov 23, 2020	Data IntegrationDeep Learning	—Unverified
Time Series Data Mining Algorithms Towards Scalable and Real-Time Behavior Monitoring	Dec 26, 2021	Time SeriesTime Series Analysis	—Unverified
Time Series Deinterleaving of DNS Traffic	Jul 16, 2018	BIG-bench Machine LearningTime Series	—Unverified
Time Series Domain Adaptation via Sparse Associative Structure Alignment	Dec 22, 2020	Domain AdaptationTime 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