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 3811–3820 of 6748 papers

Title	Date	Tasks	Status
Scalable Pooled Time Series of Big Video Data from the Deep Web	Oct 21, 2016	Time SeriesTime Series Analysis	—Unverified
Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities	Apr 22, 2021	regressionTime Series	—Unverified
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data	Sep 10, 2019	Time SeriesTime Series Analysis	—Unverified
Scalable Visualisation of Sentiment and Stance	May 1, 2018	Information RetrievalOpinion Mining	—Unverified
Scaled-Time-Attention Robust Edge Network	Jul 9, 2021	Time Series AnalysisTime Series Prediction	—Unverified
Scaling up Echo-State Networks with multiple light scattering	Sep 15, 2016	Time SeriesTime Series Analysis	—Unverified
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space	Jul 16, 2018	Time SeriesTime Series Analysis	—Unverified
SCformer: Segment Correlation Transformer for Long Sequence Time Series Forecasting	Sep 29, 2021	ManagementTime Series	—Unverified
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units	Jul 2, 2022	SchedulingTime Series	—Unverified
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification	Jun 11, 2020	Dynamic Time WarpingGeneral Classification	—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