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 3131–3140 of 6748 papers

Title	Date	Tasks	Status
Fractal approach towards power-law coherency to measure cross-correlations between time series	Feb 24, 2017	Time SeriesTime Series Analysis	—Unverified
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data	Jan 23, 2018	Representation LearningTime Series	—Unverified
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions	Nov 8, 2021	BIG-bench Machine LearningTime Series	—Unverified
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface	Jul 4, 2021	Scene UnderstandingTime Series	—Unverified
Fractal analyses of networks of integrate-and-fire stochastic spiking neurons	Jan 19, 2018	Time SeriesTime Series Analysis	—Unverified
Hybrid Neural Networks for Learning the Trend in Time Series	Jul 1, 2017	Time SeriesTime Series Analysis	—Unverified
Metaheuristics optimized feedforward neural networks for efficient stock price prediction	Jun 23, 2019	Decision MakingStock Price Prediction	—Unverified
Hybrid Variational Autoencoder for Time Series Forecasting	Mar 13, 2023	Time SeriesTime Series Analysis	—Unverified
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting	Mar 14, 2023	Time SeriesTime Series Analysis	—Unverified
Fourier-RNNs for Modelling Noisy Physics Data	Feb 13, 2023	Operator 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