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 3481–3490 of 6748 papers

Title	Date	Tasks	Status
Predictive Process Model Monitoring using Recurrent Neural Networks	Nov 5, 2020	modelPredictive Process Monitoring	—Unverified
Equivariant online predictions of non-stationary time series	Nov 20, 2019	EpidemiologyTime Series	—Unverified
Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series	Mar 2, 2021	Time SeriesTime Series Analysis	—Unverified
Preparing fMRI Data for Statistical Analysis	Oct 24, 2022	DenoisingTime Series	—Unverified
Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit	Jun 17, 2021	Time Series Analysis	—Unverified
Preventing Gradient Explosions in Gated Recurrent Units	Dec 1, 2017	Language ModelingLanguage Modelling	—Unverified
Previsão dos preços de abertura, mínima e máxima de índices de mercados financeiros usando a associação de redes neurais LSTM	Jul 29, 2021	Time SeriesTime Series Analysis	—Unverified
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows	Apr 21, 2021	Density EstimationImage Generation	—Unverified
Prior knowledge distillation based on financial time series	Jun 16, 2020	Knowledge DistillationTime Series	—Unverified
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data	Jan 4, 2021	Autonomous DrivingDenoising	—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