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 1871–1880 of 6748 papers

Title	Date	Tasks	Status
Complexity and Persistence of Price Time Series of the European Electricity Spot Market	Dec 2, 2021	Time SeriesTime Series Analysis	—Unverified
Deep Signature Statistics for Likelihood-free Time-series Models	Jun 2, 2021	Time SeriesTime Series Analysis	—Unverified
A review of two decades of correlations, hierarchies, networks and clustering in financial markets	Mar 1, 2017	BIG-bench Machine LearningClustering	—Unverified
Deep State Space Models for Time Series Forecasting	Dec 1, 2018	Deep LearningProbabilistic Time Series Forecasting	—Unverified
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction	Aug 22, 2020	Deep LearningDemand Forecasting	—Unverified
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice	Feb 11, 2021	BIG-bench Machine LearningFederated Learning	—Unverified
Deep Subspace Encoders for Nonlinear System Identification	Oct 26, 2022	PredictionState Estimation	—Unverified
Compensatory model for quantile estimation and application to VaR	Dec 14, 2021	Time SeriesTime Series Analysis	—Unverified
Accurate Prediction of Global Mean Temperature through Data Transformation Techniques	Mar 11, 2023	Time SeriesTime Series Analysis	—Unverified
Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing	Jul 29, 2020	RhythmTime 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