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 751–760 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning Techniques	Feb 19, 2020	regressionTime Series	CodeCode Available	1	5
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order	Jan 2, 2023	DecoderDocument Summarization	CodeCode Available	1	5
Forecasting in Non-stationary Environments with Fuzzy Time Series	Apr 27, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
Discovering Nonlinear Relations with Minimum Predictive Information Regularization	Jan 7, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications	Jun 17, 2022	EEGElectroencephalogram (EEG)	CodeCode Available	1	5
Differentiable Compositional Kernel Learning for Gaussian Processes	Jun 12, 2018	Bayesian OptimizationGaussian Processes	CodeCode Available	1	5
AtsPy: Automated Time Series Forecasting in Python	May 14, 2020	SurveyTime Series	CodeCode Available	1	5
Differentiable Divergences Between Time Series	Oct 16, 2020	Dynamic Time WarpingTime Series	CodeCode Available	1	5
A Transformer-based Framework for Multivariate Time Series Representation Learning	Oct 6, 2020	Computational EfficiencyGeneral Classification	CodeCode Available	1	5
Hierarchical forecasting with a top-down alignment of independent level forecasts	Mar 15, 2021	Time SeriesTime 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