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 3231–3240 of 6748 papers

Title	Date	Tasks	Status
Complex systems approach to natural language	Jan 5, 2024	Time SeriesTime Series Analysis	—Unverified
Improving Solar Flare Prediction by Time Series Outlier Detection	Jun 14, 2022	Outlier DetectionPrediction	—Unverified
Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary	Jul 13, 2017	Time SeriesTime Series Analysis	—Unverified
A Review on Deep Learning in UAV Remote Sensing	Jan 22, 2021	Deep LearningTime Series Analysis	—Unverified
Improving Text-based Early Prediction by Distillation from Privileged Time-Series Text	Jan 26, 2023	Knowledge DistillationPrediction	—Unverified
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation	Aug 6, 2020	Data AugmentationDynamic Time Warping	—Unverified
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility	Apr 23, 2020	Decision MakingTime Series	—Unverified
Improving the quality control of seismic data through active learning	Jan 17, 2022	Active LearningDenoising	—Unverified
Complex market dynamics in the light of random matrix theory	Sep 24, 2018	Time SeriesTime Series Analysis	—Unverified
Complexity Measures and Features for Times Series classification	Feb 27, 2020	ClassificationDynamic 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