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 2011–2020 of 6748 papers

Title	Date	Tasks	Status
Differential Bayesian Neural Nets	Dec 2, 2019	Time SeriesTime Series Analysis	—Unverified
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures	Jun 14, 2021	Language ModelingLanguage Modelling	—Unverified
Bayesian Time Series Forecasting with Change Point and Anomaly Detection	Jan 1, 2018	Anomaly DetectionChange Point Detection	—Unverified
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization	Mar 6, 2018	Dimensionality ReductionStochastic Optimization	—Unverified
Differentiable Multiple Shooting Layers	Jun 7, 2021	Time SeriesTime Series Analysis	—Unverified
Differentiable Dynamic Programming for Structured Prediction and Attention	Feb 11, 2018	Machine TranslationPrediction	—Unverified
Dimension Reduction for time series with Variational AutoEncoders	Apr 23, 2022	Dimensionality ReductionTime Series	—Unverified
Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm	Jun 10, 2017	ManagementTime Series Analysis	—Unverified
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss	Apr 8, 2018	Time SeriesTime Series Analysis	—Unverified
An interpretable LSTM neural network for autoregressive exogenous model	Apr 14, 2018	DecoderTime 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