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 171–180 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Conditional Sig-Wasserstein GANs for Time Series Generation	Jun 9, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks	Nov 29, 2022	PredictionTime Series	CodeCode Available	1	5
Closed-Form Diffeomorphic Transformations for Time Series Alignment	Jun 16, 2022	CPUForm	CodeCode Available	1	5
An Experimental Review on Deep Learning Architectures for Time Series Forecasting	Mar 22, 2021	Deep LearningTime Series	CodeCode Available	1	5
An Evaluation of Change Point Detection Algorithms	Mar 13, 2020	Change Point DetectionTime Series	CodeCode Available	1	5
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data	Jul 24, 2022	Anomaly DetectionAutonomous Driving	CodeCode Available	1	5
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	Jun 13, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Domain Adaptation for Time Series Forecasting via Attention Sharing	Feb 13, 2021	Domain AdaptationTime Series	CodeCode Available	1	5
An Empirical Framework for Domain Generalization in Clinical Settings	Mar 20, 2021	Domain GeneralizationTime Series	CodeCode Available	1	5
An Empirical Evaluation of Time-Series Feature Sets	Oct 21, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5

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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