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 5001–5010 of 6748 papers

Title	Date	Tasks	Status
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics	Feb 2, 2023	DiagnosticTime Series	—Unverified
Aligned Multi-Task Gaussian Process	Oct 29, 2021	Bayesian InferenceGaussian Processes	—Unverified
A Linear Transportation L^p Distance for Pattern Recognition	Sep 23, 2020	Time SeriesTime Series Analysis	—Unverified
All-atom Molecular Dynamics Simulations of the Projection Domain of the Intrinsically Disordered htau40 Protein	Oct 30, 2016	AllTime Series	—Unverified
All-Clear Flare Prediction Using Interval-based Time Series Classifiers	May 3, 2021	AllPrediction	—Unverified
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction	May 16, 2017	ManagementTemporal Sequences	—Unverified
A Statistical Recurrent Stochastic Volatility Model for Stock Markets	Jun 7, 2019	Time Series Analysis	—Unverified
Alpha Discovery Neural Network based on Prior Knowledge	Dec 26, 2019	Time SeriesTime Series Analysis	—Unverified
Alternating direction method of multipliers for penalized zero-variance discriminant analysis	Jan 21, 2014	feature selectionGeneral Classification	—Unverified
A machine learning approach for forecasting hierarchical time series	May 31, 2020	BIG-bench Machine LearningTime Series	—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