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 4241–4250 of 6748 papers

Title	Date	Tasks	Status
The Coronavirus is a Bioweapon: Analysing Coronavirus Fact-Checked Stories	Apr 2, 2021	Fact CheckingMisinformation	—Unverified
The Counterfactual-Shapley Value: Attributing Change in System Metrics	Aug 17, 2022	Attributecounterfactual	—Unverified
The Creation and Validation of Load Time Series for Synthetic Electric Power Systems	Nov 16, 2019	Time SeriesTime Series Analysis	—Unverified
The Cross-Sectional Intrinsic Entropy. A Comprehensive Stock Market Volatility Estimator	Apr 29, 2022	Time Series Analysis	—Unverified
The data synergy effects of time-series deep learning models in hydrology	Jan 6, 2021	Time SeriesTime Series Analysis	—Unverified
The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems	Jun 18, 2020	Adversarial RobustnessDecision Making	—Unverified
The DOPE Distance is SIC: A Stable, Informative, and Computable Metric on Time Series And Ordered Merge Trees	Dec 3, 2022	Dynamic Time WarpingTime Series	—Unverified
The dual frequency RV-coupling coefficient: a novel measure for quantifying cross-frequency information transactions in the brain	Mar 18, 2016	Time SeriesTime Series Analysis	—Unverified
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario	Sep 25, 2019	Dimensionality ReductionTime Series	—Unverified
Evolutionary Dynamics of Investors Expectations and Market Price Movement	Dec 24, 2019	Time SeriesTime Series Analysis	—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