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 3911–3920 of 6748 papers

Title	Date	Tasks	Status
Time Series Prediction : Predicting Stock Price	Oct 16, 2017	PredictionTime Series	—Unverified
Time Series Prediction using Deep Learning Methods in Healthcare	Aug 30, 2021	Deep LearningFeature Engineering	—Unverified
Time series quantile regression using random forests	Nov 4, 2022	quantile regressionregression	—Unverified
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation	Jan 11, 2021	Generative Adversarial NetworkTime Series	—Unverified
Time Series (re)sampling using Generative Adversarial Networks	Jan 30, 2021	Time SeriesTime Series Analysis	—Unverified
Time Series Segmentation through Automatic Feature Learning	Jan 16, 2018	Activity RecognitionEEG	—Unverified
Time Series Simulation by Conditional Generative Adversarial Net	Apr 25, 2019	Time SeriesTime Series Analysis	—Unverified
Time Series Source Separation with Slow Flows	Jul 20, 2020	blind source separationTime Series	—Unverified
Time Series Structure Discovery via Probabilistic Program Synthesis	Nov 21, 2016	ClusteringProgram Synthesis	—Unverified
Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram	Oct 21, 2022	DiversityTime 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