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 1431–1440 of 6748 papers

Title	Date	Tasks	Status
Multi-Level Association Rule Mining for Wireless Network Time Series Data	Dec 15, 2022	ManagementTime Series	—Unverified
On LASSO for High Dimensional Predictive Regression	Dec 14, 2022	regressionTime Series	—Unverified
Design-time Fashion Popularity Forecasting in VR Environments	Dec 14, 2022	image-classificationImage Classification	—Unverified
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree	Dec 13, 2022	ClusteringOutlier Detection	—Unverified
Land use/land cover dynamics on vulnerable regions in Uruguay approached by a method combining Maximum Entropy and Population Dynamics	Dec 13, 2022	Time SeriesTime Series Analysis	—Unverified
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series	Dec 13, 2022	Time SeriesTime Series Analysis	—Unverified
Nonparametric Independent Component Analysis for the Sources with Mixed Spectra	Dec 13, 2022	blind source separationEEG	—Unverified
On Mini-Batch Training with Varying Length Time Series	Dec 13, 2022	Dynamic Time WarpingTime Series	CodeCode Available
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification	Dec 13, 2022	AutoMLNeural Architecture Search	—Unverified
Temporal Weights	Dec 13, 2022	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