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 2291–2300 of 6748 papers

Title	Date	Tasks	Status
Deep Learning, Predictability, and Optimal Portfolio Returns	Sep 7, 2020	Deep LearningTime Series	—Unverified
Deep learning of contagion dynamics on complex networks	Jun 9, 2020	Deep LearningGraph Neural Network	—Unverified
Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality	Sep 26, 2017	Dynamic Time Warpingfeature selection	—Unverified
An Euler-based GAN for time series	Jan 1, 2021	Time SeriesTime Series Analysis	—Unverified
Deep-Learning Inversion of Seismic Data	Jan 23, 2019	Deep LearningSeismic Inversion	—Unverified
Automatic Detection Of Noise Events at Shooting Range Using Machine Learning	Jul 23, 2021	BIG-bench Machine LearningTime Series	—Unverified
Deep Learning in Multiple Multistep Time Series Prediction	Oct 12, 2017	Deep LearningPrediction	—Unverified
Deep Learning in Asset Pricing	Mar 11, 2019	Deep LearningTime Series	—Unverified
Automatic Detection of Major Freeway Congestion Events Using Wireless Traffic Sensor Data: A Machine Learning Approach	Jul 9, 2020	BIG-bench Machine LearningTime Series Analysis	—Unverified
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data	May 7, 2022	Image SegmentationMedical Image Segmentation	—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