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 3891–3900 of 6748 papers

Title	Date	Tasks	Status
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies	Apr 2, 2021	Anomaly DetectionDynamic Time Warping	—Unverified
Time Series Imputation	Mar 22, 2019	BIG-bench Machine LearningImputation	—Unverified
Time-series Imputation of Temporally-occluded Multiagent Trajectories	Jun 8, 2021	Collision AvoidanceDecision Making	—Unverified
Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff	Feb 25, 2021	ImputationPortfolio Optimization	—Unverified
Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States	May 1, 2019	Time SeriesTime Series Analysis	—Unverified
Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs	Jan 21, 2018	ClassificationElectrocardiography (ECG)	—Unverified
Time Series Language Model for Descriptive Caption Generation	Jan 3, 2025	Caption GenerationDenoising	—Unverified
Time Series Learning using Monotonic Logical Properties	Feb 24, 2018	Time SeriesTime Series Analysis	—Unverified
Time Series Model Attribution Visualizations as Explanations	Sep 27, 2021	modelPosition	—Unverified
Time series modeling by a regression approach based on a latent process	Dec 25, 2013	global-optimizationregression	—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