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 4901–4910 of 6748 papers

Title	Date	Tasks	Status
Adaptive Visibility Graph Neural Network and It's Application in Modulation Classification	Jun 16, 2021	AvgGraph Neural Network	—Unverified
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation	Feb 16, 2021	Audio ClassificationData Augmentation	—Unverified
A Data-Driven Approach for Modeling Stochasticity in Oil Market	Apr 24, 2018	Time SeriesTime Series Analysis	—Unverified
A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems	Jul 17, 2018	BIG-bench Machine LearningTime Series	—Unverified
A Data-driven Market Simulator for Small Data Environments	Jun 21, 2020	Time SeriesTime Series Analysis	—Unverified
A Data-Driven Method for Recognizing Automated Negotiation Strategies	Jul 3, 2021	Feature EngineeringTime Series	—Unverified
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks	Apr 21, 2022	Time SeriesTime Series Analysis	—Unverified
A data imputation method for multivariate time series based on generative adversarial network	Sep 30, 2019	Generative Adversarial NetworkImputation	—Unverified
A data-informed mathematical model of microglial cell dynamics during ischemic stroke in the middle cerebral artery	Mar 22, 2024	parameter estimationTime Series Analysis	—Unverified
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis	May 17, 2024	ImputationSuper-Resolution	—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