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 2651–2660 of 6748 papers

Title	Date	Tasks	Status
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining	May 23, 2020	Chinese Sentiment AnalysisData Visualization	—Unverified
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms	Dec 21, 2020	DiagnosticTime Series Analysis	—Unverified
COVID-19 infection and recovery in various countries: Modeling the dynamics and evaluating the non-pharmaceutical mitigation scenarios	Mar 31, 2020	Time Series Analysis	—Unverified
Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent	Sep 11, 2020	Time SeriesTime Series Analysis	—Unverified
A Survey of Feature Types and Their Contributions for Camera Tampering Detection	Oct 11, 2023	Change DetectionTime Series	—Unverified
Analysis of Advisor Portfolio using Multivariate Time Series and Cosine Similarity	Jul 13, 2018	Time SeriesTime Series Analysis	—Unverified
A Deep-Learning Based Optimization Approach to Address Stop-Skipping Strategy in Urban Rail Transit Lines	Sep 17, 2021	Time Series Analysis	—Unverified
COVID-19 Hospitalizations Forecasts Using Internet Search Data	Feb 3, 2022	Decision MakingTime Series	—Unverified
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning	Apr 23, 2021	Ensemble LearningMeta-Learning	—Unverified
Time Series Analysis and Modeling to Forecast: a Survey	Mar 31, 2021	SurveyTime 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