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 1–10 of 6748 papers

Title	Date	Tasks	Status	Hype
Revisiting PCA for time series reduction in temporal dimension	Dec 27, 2024	Computational EfficiencyDimensionality Reduction	CodeCode Available	7
Foundation Models for Time Series Analysis: A Tutorial and Survey	Mar 21, 2024	SurveyTime Series	CodeCode Available	7
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis	Oct 5, 2022	Action RecognitionAnomaly Detection	CodeCode Available	6
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection	May 24, 2022	Anomaly DetectionAutoML	CodeCode Available	5
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis	Oct 21, 2024	Anomaly DetectionImputation	CodeCode Available	5
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms	Jul 19, 2022	Adversarial AttackMultivariate Time Series Forecasting	CodeCode Available	5
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	Nov 27, 2022	Multivariate Time Series ForecastingRepresentation Learning	CodeCode Available	5
On Neural Differential Equations	Feb 4, 2022	Irregular Time SeriesSymbolic Regression	CodeCode Available	5
Are Transformers Effective for Time Series Forecasting?	May 26, 2022	Anomaly DetectionRelation Extraction	CodeCode Available	4
Efficient Automated Deep Learning for Time Series Forecasting	May 11, 2022	AutoMLBayesian Optimization	CodeCode Available	4

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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