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 3751–3760 of 6748 papers

Title	Date	Tasks	Status
Robust language-based mental health assessments in time and space through social media	Feb 25, 2023	Time Series Analysis	—Unverified
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data	Aug 3, 2022	Anomaly DetectionTime Series	—Unverified
Robust Maximum Likelihood Estimation of Sparse Vector Error Correction Model	Oct 16, 2017	Dimensionality ReductionEconometrics	—Unverified
Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models	Jan 16, 2023	parameter estimationTime Series	—Unverified
Robust Multimodal Fusion for Human Activity Recognition	Mar 8, 2023	Activity RecognitionDenoising	—Unverified
Robust multivariate and functional archetypal analysis with application to financial time series analysis	Oct 1, 2018	Time SeriesTime Series Analysis	—Unverified
Robustness of sentence length measures in written texts	May 2, 2018	LemmatizationSentence	—Unverified
Robust Online Time Series Prediction with Recurrent Neural Networks	Dec 26, 2016	PredictionTime Series	—Unverified
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics	Feb 9, 2021	Bayesian OptimizationRobust Design	—Unverified
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series	Aug 3, 2022	Anomaly DetectionImputation	—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