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 3871–3880 of 6748 papers

Title	Date	Tasks	Status
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance	May 7, 2022	Domain AdaptationTime Series	—Unverified
Time-Series Estimation from Randomly Time-Warped Observations	Dec 2, 2021	Time SeriesTime Series Analysis	—Unverified
Time Series Fault Classification for Wave Propagation Systems with Sparse Fault Data	Mar 30, 2022	ClassificationDynamic Time Warping	—Unverified
Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets	Apr 13, 2022	regressionTime Series	—Unverified
Time Series Featurization via Topological Data Analysis	Dec 7, 2018	Dimensionality ReductionFeature Engineering	—Unverified
A novel weighted approach for time series forecasting based on visibility graph	Mar 14, 2021	Time SeriesTime Series Analysis	—Unverified
Time Series Forecasting Models Copy the Past: How to Mitigate	Jul 27, 2022	Time SeriesTime Series Analysis	—Unverified
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods	Apr 28, 2021	Time SeriesTime Series Analysis	—Unverified
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters	Dec 30, 2022	Anomaly DetectionTime Series	—Unverified
Time Series Forecasting (TSF) Using Various Deep Learning Models	Apr 23, 2022	Deep LearningTime 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