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 421–430 of 6748 papers

Title	Date	Tasks	Status	Hype
Adjusting for Autocorrelated Errors in Neural Networks for Time Series	Jan 28, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification	May 28, 2021	EpidemiologyTime Series	CodeCode Available	1
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding	Mar 17, 2022	Crop ClassificationTime Series	CodeCode Available	1
Can LLMs Understand Time Series Anomalies?	Oct 7, 2024	Anomaly DetectionTime Series	CodeCode Available	1
An efficient aggregation method for the symbolic representation of temporal data	Jan 14, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1
Global RTK Positioning in Graphical State Space	Aug 27, 2022	PositionTime Series	CodeCode Available	1
Adaptive Conformal Predictions for Time Series	Feb 15, 2022	Conformal PredictionDecision Making	CodeCode Available	1
Can Multimodal LLMs Perform Time Series Anomaly Detection?	Feb 25, 2025	Anomaly DetectionIrregular Time Series	CodeCode Available	1
Causal Forecasting:Generalization Bounds for Autoregressive Models	Nov 18, 2021	Learning TheoryTime Series	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