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 5061–5070 of 6748 papers

Title	Date	Tasks	Status
Analysis of Brain States from Multi-Region LFP Time-Series	Dec 1, 2014	Gaussian ProcessesTime Series	—Unverified
Analysis of chaotic dynamical systems with autoencoders	Sep 22, 2021	Time SeriesTime Series Analysis	—Unverified
Analysis of complex circadian time series data using wavelets	Jul 29, 2021	Time SeriesTime Series Analysis	—Unverified
Analysis of cyclical behavior in time series of stock market returns	Jun 12, 2017	Time SeriesTime Series Analysis	—Unverified
Active Learning of Driving Scenario Trajectories	Aug 6, 2021	Active LearningAutonomous Vehicles	—Unverified
Analysis of EEG data using complex geometric structurization	Feb 17, 2021	EEGElectroencephalogram (EEG)	—Unverified
Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting	Nov 23, 2020	Time SeriesTime Series Analysis	—Unverified
Analysis of Hydrological and Suspended Sediment Events from Mad River Watershed using Multivariate Time Series Clustering	Nov 28, 2019	ClusteringTime Series	—Unverified
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming	Apr 4, 2022	feature selectionTime Series Analysis	—Unverified
Analysis of Nonstationary Time Series Using Locally Coupled Gaussian Processes	Oct 31, 2016	Gaussian ProcessesTime 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