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 3071–3080 of 6748 papers

Title	Date	Tasks	Status
Imaging the time series of one single referenced EEG electrode for Epileptic Seizures Risk Analysis	Jun 29, 2022	EEGElectroencephalogram (EEG)	—Unverified
High-dimensional mixed-frequency IV regression	Mar 30, 2020	regressionTime Series	—Unverified
Cost-Effective Bad Synchrophasor Data Detection Based on Unsupervised Time Series Data Analytics	May 3, 2020	Time SeriesTime Series Analysis	—Unverified
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series	Jul 20, 2021	Multivariate Time Series ForecastingTime Series	—Unverified
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding	Jan 29, 2018	Action ClassificationAction Segmentation	—Unverified
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves	Mar 8, 2019	BIG-bench Machine LearningClassification Of Variable Stars	—Unverified
High Dimensional Time Series Generators	Apr 17, 2018	Dynamic Time WarpingERP	—Unverified
High-dimensional Time Series Prediction with Missing Values	Sep 28, 2015	Demand ForecastingMatrix Completion	—Unverified
High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods	Aug 27, 2023	regressionTime Series	—Unverified
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming	Jun 26, 2020	Decision MakingTime 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