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 851–860 of 6748 papers

Title	Date	Tasks	Status	Hype
Efficient Cross-Validation of Echo State Networks	Aug 22, 2019	One-Shot LearningTime Series	CodeCode Available	1
General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping	Jul 11, 2019	Dynamic Time WarpingNavigate	CodeCode Available	1
Latent ODEs for Irregularly-Sampled Time Series	Jul 8, 2019	Multivariate Time Series ForecastingMultivariate Time Series Imputation	CodeCode Available	1
Financial Time Series Data Processing for Machine Learning	Jul 3, 2019	BIG-bench Machine LearningGeneral Classification	CodeCode Available	1
Time-Series Anomaly Detection Service at Microsoft	Jun 10, 2019	Anomaly DetectionSaliency Detection	CodeCode Available	1
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series	May 29, 2019	Multivariate Time Series ForecastingTime Series	CodeCode Available	1
Neural Jump Stochastic Differential Equations	May 24, 2019	Point ProcessesTime Series	CodeCode Available	1
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces	May 17, 2019	Image ImputationImputation	CodeCode Available	1
Automatic Posterior Transformation for Likelihood-Free Inference	May 17, 2019	Bayesian InferenceTime Series	CodeCode Available	1
DeepMoD: Deep learning for Model Discovery in noisy data	Apr 20, 2019	Deep LearningModel Discovery	CodeCode Available	1

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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