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 1751–1760 of 6748 papers

Title	Date	Tasks	Status
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory	Aug 24, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Gaussian Covariance Network	Oct 17, 2017	Gaussian ProcessesMixture-of-Experts	—Unverified
Deep Video Prediction for Time Series Forecasting	Feb 24, 2021	Decision MakingPrediction	—Unverified
A review on outlier/anomaly detection in time series data	Feb 11, 2020	Anomaly DetectionOutlier Detection	—Unverified
Composite FORCE learning of chaotic echo state networks for time-series prediction	Jul 6, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Generative SToRM model for dynamic imaging	Jan 29, 2021	modelTime Series	—Unverified
Deep Generators on Commodity Markets; application to Deep Hedging	May 27, 2022	Generative Adversarial NetworkTime Series	—Unverified
Autoencoding Conditional GAN for Portfolio Allocation Diversification	Jun 17, 2022	Generative Adversarial NetworkTime Series	—Unverified
A Method for Massively Parallel Analysis of Time Series	Dec 27, 2016	Time SeriesTime Series Analysis	—Unverified
Composable Generative Models	Feb 18, 2021	ImputationPrivacy Preserving	—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