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 1821–1830 of 6748 papers

Title	Date	Tasks	Status
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks	Jul 18, 2021	Time SeriesTime Series Analysis	—Unverified
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery	Jun 15, 2018	Time SeriesTime Series Analysis	—Unverified
Complexity-based Financial Stress Evaluation	Dec 5, 2022	Time SeriesTime Series Analysis	—Unverified
Complexity and Persistence of Price Time Series of the European Electricity Spot Market	Dec 2, 2021	Time SeriesTime Series Analysis	—Unverified
Automatic Generation of Probabilistic Programming from Time Series Data	Jul 4, 2016	DescriptiveProbabilistic Programming	—Unverified
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices	Jul 23, 2019	Anomaly DetectionCPU	—Unverified
A review of two decades of correlations, hierarchies, networks and clustering in financial markets	Mar 1, 2017	BIG-bench Machine LearningClustering	—Unverified
DeepMoTIon: Learning to Navigate Like Humans	Mar 9, 2018	NavigateTime Series	—Unverified
Deep MR Fingerprinting with total-variation and low-rank subspace priors	Feb 26, 2019	Magnetic Resonance Fingerprintingparameter estimation	—Unverified
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice	Feb 11, 2021	BIG-bench Machine LearningFederated Learning	—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