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 3521–3530 of 6748 papers

Title	Date	Tasks	Status
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation	Mar 12, 2021	ImputationManagement	—Unverified
Specific low frequency electromagnetic fields induce epigenetic and functional changes in U937 cells	Oct 15, 2018	Time SeriesTime Series Analysis	—Unverified
Spectral Correlation Hub Screening of Multivariate Time Series	Mar 13, 2014	Time SeriesTime Series Analysis	—Unverified
Spectral independent component analysis with noise modeling for M/EEG source separation	Aug 21, 2020	DenoisingDimensionality Reduction	—Unverified
Spectral Propagation Graph Network for Few-shot Time Series Classification	Feb 8, 2022	ClassificationTime Series	—Unverified
Spectrum Attention Mechanism for Time Series Classification	Jan 25, 2021	ClassificationGeneral Classification	—Unverified
Spectrum of non-Hermitian deep-Hebbian neural networks	Aug 24, 2022	RetrievalTime Series	—Unverified
Spurious memory in non-equilibrium stochastic models of imitative behavior	Jul 31, 2017	Time SeriesTime Series Analysis	—Unverified
Spurious seasonality detection: a non-parametric test proposal	Jan 24, 2018	Time SeriesTime Series Analysis	—Unverified
Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things	Dec 18, 2017	Anomaly DetectionEdge-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