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 2231–2240 of 6748 papers

Title	Date	Tasks	Status
Application Research On Real-Time Perception Of Device Performance Status	Sep 5, 2024	DescriptiveDimensionality Reduction	—Unverified
Classifiers With a Reject Option for Early Time-Series Classification	Dec 14, 2013	ClassificationDecision Making	—Unverified
Classification with the matrix-variate-t distribution	Jul 22, 2019	ClassificationGeneral Classification	—Unverified
Application of Time Series Analysis to Traffic Accidents in Los Angeles	Nov 28, 2019	Time SeriesTime Series Analysis	—Unverified
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks	Aug 1, 2018	Parameter PredictionPrediction	—Unverified
Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences	Oct 16, 2018	ManagementTime Series Analysis	—Unverified
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs	Dec 12, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
4D iterative reconstruction of brain fMRI in the moving fetus	Nov 22, 2021	Functional ConnectivityTime Series	—Unverified
Application of the Non-Hermitian Singular Spectrum Analysis to the exponential retrieval problem	Aug 8, 2020	RetrievalTime Series	—Unverified
Epidemic parameters for COVID-19 in several regions of India	May 18, 2020	Time SeriesTime Series Analysis	—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