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 641–650 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
DeepMoD: Deep learning for Model Discovery in noisy data	Apr 20, 2019	Deep LearningModel Discovery	CodeCode Available	1	5
Decomposing non-stationary signals with time-varying wave-shape functions	Oct 14, 2020	Computational Efficiencyregression	CodeCode Available	1	5
Learning Long-Term Dependencies in Irregularly-Sampled Time Series	Jun 8, 2020	Sequential Image ClassificationTime Series	CodeCode Available	1	5
Learning Signal Temporal Logic through Neural Network for Interpretable Classification	Oct 4, 2022	ClassificationComputational Efficiency	CodeCode Available	1	5
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting	Jun 28, 2022	Graph Neural NetworkMultivariate Time Series Forecasting	CodeCode Available	1	5
The Signature Kernel is the solution of a Goursat PDE	Jun 26, 2020	Dimensionality ReductionGPU	CodeCode Available	1	5
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations	May 26, 2022	ImputationMultivariate Time Series Imputation	CodeCode Available	1	5
Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations	Mar 20, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
Explaining Time Series Predictions with Dynamic Masks	Jun 9, 2021	BIG-bench Machine LearningFeature Importance	CodeCode Available	1	5
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons	Feb 28, 2020	Time Series Analysis	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