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 3591–3600 of 6748 papers

Title	Date	Tasks	Status
Stream-Flow Forecasting of Small Rivers Based on LSTM	Jan 16, 2020	Time SeriesTime Series Analysis	—Unverified
Streaming Linear System Identification with Reverse Experience Replay	Mar 10, 2021	Reinforcement Learning (RL)Time Series Analysis	—Unverified
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning	Dec 24, 2022	reinforcement-learningReinforcement Learning	—Unverified
STRIC: Stacked Residuals of Interpretable Components for Time Series Anomaly Detection	Sep 29, 2021	Anomaly DetectionArticles	—Unverified
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization	May 30, 2013	Community DetectionTime Series	—Unverified
Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates	Feb 10, 2023	Managementregression	—Unverified
Structural Breaks in Time Series	May 10, 2018	Time SeriesTime Series Analysis	—Unverified
Structural Change in (Economic) Time Series	Feb 17, 2017	Time SeriesTime Series Analysis	—Unverified
Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method	Nov 14, 2018	Change Point DetectionStructural Health Monitoring	—Unverified
Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning	Oct 7, 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