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 3601–3610 of 6748 papers

Title	Date	Tasks	Status
Rate-Agnostic (Causal) Structure Learning	Dec 1, 2015	AllTime Series	—Unverified
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data	Oct 20, 2020	ImputationMissing Values	—Unverified
Reactmine: a statistical search algorithm for inferring chemical reactions from time series data	Sep 7, 2022	Time SeriesTime Series Analysis	—Unverified
Reading Documents for Bayesian Online Change Point Detection	Sep 1, 2015	Change Point DetectionTime Series Analysis	—Unverified
Real-Time Anomaly Detection for Advanced Manufacturing: Improving on Twitter's State of the Art	Nov 13, 2019	Anomaly DetectionTime Series	—Unverified
Real-time Change Point Detection using On-line Topic Models	Aug 1, 2018	ArticlesChange Point Detection	—Unverified
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs	Apr 7, 2020	General Classificationinput filtering	—Unverified
Real time clustering of time series using triangular potentials	Feb 18, 2015	ClusteringTime Series	—Unverified
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data	Dec 15, 2021	Anomaly DetectionAstronomy	—Unverified
Real-time Drift Detection on Time-series Data	Oct 12, 2021	Drift DetectionTime 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