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 1491–1500 of 6748 papers

Title	Date	Tasks	Status
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting	Feb 18, 2020	Representation LearningTime Series	—Unverified
Kernel Hypothesis Testing with Set-valued Data	Jul 9, 2019	Time SeriesTime Series Analysis	—Unverified
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data	Feb 8, 2022	Anomaly DetectionTime Series	—Unverified
Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning	Sep 25, 2021	Bayesian InferenceBIG-bench Machine Learning	—Unverified
Controlled time series generation for automotive software-in-the-loop testing using GANs	Feb 16, 2020	Time SeriesTime Series Analysis	—Unverified
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels	Oct 1, 2019	Language ModelingLanguage Modelling	—Unverified
Controlling False Discovery Rates under Cross-Sectional Correlations	Feb 15, 2021	Time SeriesTime Series Analysis	—Unverified
Convergence of GANs Training: A Game and Stochastic Control Methodology	Dec 1, 2021	Time SeriesTime Series Analysis	—Unverified
Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model	Jan 9, 2018	SchedulingTime Series	—Unverified
A Robust Score-Driven Filter for Multivariate Time Series	Sep 3, 2020	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