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 891–900 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Evaluation of post-hoc interpretability methods in time-series classification	Feb 11, 2022	ClassificationTime Series	CodeCode Available	1	5
FrAug: Frequency Domain Augmentation for Time Series Forecasting	Feb 18, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1	5
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction	Apr 1, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting	Apr 21, 2022	Decision MakingPrediction Intervals	CodeCode Available	1	5
Learning future terrorist targets through temporal meta-graphs	Apr 21, 2021	HumanitarianTemporal Sequences	CodeCode Available	1	5
Neural Rough Differential Equations for Long Time Series	Sep 17, 2020	Irregular Time SeriesTime Series	CodeCode Available	1	5
A Bayesian neural network predicts the dissolution of compact planetary systems	Jan 11, 2021	BIG-bench Machine LearningTime Series Analysis	CodeCode Available	1	5
Generative adversarial networks in time series: A survey and taxonomy	Jul 23, 2021	SurveyTime Series	CodeCode Available	1	5
Self-Supervised Learning for Time Series: Contrastive or Generative?	Mar 14, 2024	Model OptimizationRepresentation Learning	CodeCode Available	1	5
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series	Mar 18, 2022	Out-of-Distribution GeneralizationTime Series	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