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 3471–3480 of 6748 papers

Title	Date	Tasks	Status
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification	Jan 5, 2020	General ClassificationTime Series	—Unverified
Prediction of Rainfall in Rajasthan, India using Deep and Wide Neural Network	Oct 22, 2020	ManagementPrediction	—Unverified
Prediction of Sea Surface Temperature using Long Short-Term Memory	May 19, 2017	PredictionTime Series	—Unverified
Prediction of Sentinel-2 multi-band imagery with attention BiLSTM for continuous earth surface monitoring	Jun 30, 2024	ManagementTime Series	—Unverified
Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables	Jun 3, 2020	ManagementTime Series	—Unverified
Prediction of Traffic Flow via Connected Vehicles	Jul 10, 2020	PredictionTime Series	—Unverified
Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees	Mar 7, 2020	Point ProcessesTime Series	—Unverified
Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University	May 7, 2020	Time SeriesTime Series Analysis	—Unverified
Predictive-Corrective Networks for Action Detection	Apr 12, 2017	Action DetectionOptical Flow Estimation	—Unverified
Predictive Maintenance for General Aviation Using Convolutional Transformers	Oct 7, 2021	ClassificationComputational Efficiency	—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