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 2011–2020 of 6748 papers

Title	Date	Tasks	Status
Benchmarking adversarial attacks and defenses for time-series data	Aug 30, 2020	Adversarial DefenseBenchmarking	—Unverified
Super-resolution of Time-series Labels for Bootstrapped Event Detection	Jun 1, 2019	Event DetectionSuper-Resolution	—Unverified
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction	Dec 30, 2018	PredictionTime Series	—Unverified
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization	Mar 6, 2018	Dimensionality ReductionStochastic Optimization	—Unverified
Comparison Analysis of Facebook's Prophet, Amazon's DeepAR+ and CNN-QR Algorithms for Successful Real-World Sales Forecasting	May 3, 2021	Time SeriesTime Series Analysis	—Unverified
Comparing Time-Series Analysis Approaches Utilized in Research Papers to Forecast COVID-19 Cases in Africa: A Literature Review	Oct 5, 2023	Decision MakingTime Series	—Unverified
Dimension Reduction for time series with Variational AutoEncoders	Apr 23, 2022	Dimensionality ReductionTime Series	—Unverified
Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm	Jun 10, 2017	ManagementTime Series Analysis	—Unverified
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss	Apr 8, 2018	Time SeriesTime Series Analysis	—Unverified
Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models	Sep 14, 2019	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