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 2311–2320 of 6748 papers

Title	Date	Tasks	Status
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data	Nov 8, 2017	Gravitational Wave Detectionparameter estimation	—Unverified
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data	Nov 21, 2017	Gravitational Wave Detectionparameter estimation	—Unverified
Deep learning for ψ-weakly dependent processes	Feb 1, 2023	Deep LearningTime Series	—Unverified
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate	May 17, 2016	General ClassificationGPR	—Unverified
An Equilibrium Model for the Cross-Section of Liquidity Premia	Nov 27, 2020	Time SeriesTime Series Analysis	—Unverified
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data	Oct 27, 2019	Deep LearningDiagnostic	—Unverified
Deep Learning for Multi-Scale Changepoint Detection in Multivariate Time Series	May 16, 2019	Time SeriesTime Series Analysis	—Unverified
Deep Learning for Epidemiological Predictions	Jul 21, 2018	Deep LearningEpidemiology	—Unverified
Automated Testing of AI Models	Oct 7, 2021	FairnessSpeech-to-Text	—Unverified
An Ensemble method for Content Selection for Data-to-text Systems	Jun 9, 2015	General ClassificationMulti-Label Classification	—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