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 2191–2200 of 6748 papers

Title	Date	Tasks	Status
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals	Feb 12, 2020	Time SeriesTime Series Analysis	—Unverified
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO	Jun 22, 2017	ClusteringGeneral Classification	—Unverified
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse	Aug 5, 2021	Change DetectionPose Estimation	—Unverified
Deep Time Series Models for Scarce Data	Mar 16, 2021	Model SelectionTime Series	—Unverified
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction	Aug 2, 2020	Contrastive LearningDimensionality Reduction	—Unverified
A Visibility Graph Averaging Aggregation Operator	Nov 17, 2013	Time SeriesTime Series Analysis	—Unverified
A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting	Feb 22, 2020	Time SeriesTime Series Analysis	—Unverified
Adversarial Unsupervised Representation Learning for Activity Time-Series	Nov 14, 2018	Representation LearningTime Series	—Unverified
A conditional likelihood is required to estimate the selection coefficient in ancient DNA	Jul 11, 2016	Time SeriesTime Series Analysis	—Unverified
A Benchmark Study on Time Series Clustering	Apr 20, 2020	ClusteringDynamic Time Warping	—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