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 1641–1650 of 6748 papers

Title	Date	Tasks	Status
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System	Sep 14, 2022	Time SeriesTime Series Analysis	—Unverified
Data-driven mapping between functional connectomes using optimal transport	Jul 2, 2021	Time SeriesTime Series Analysis	—Unverified
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with LIGO Data	Nov 21, 2017	Gravitational Wave Detectionparameter estimation	—Unverified
Data-driven Neural Architecture Learning For Financial Time-series Forecasting	Mar 5, 2019	Time SeriesTime Series Analysis	—Unverified
Deep learning for structural health monitoring: An application to heritage structures	Nov 4, 2022	Anomaly DetectionStructural Health Monitoring	—Unverified
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data	Sep 10, 2020	ClassificationFault Diagnosis	—Unverified
Deep-Learning Inversion of Seismic Data	Jan 23, 2019	Deep LearningSeismic Inversion	—Unverified
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps	Mar 9, 2021	Numerical IntegrationPrediction	—Unverified
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models	Mar 23, 2019	regressionTime Series Analysis	—Unverified
DeepMoTIon: Learning to Navigate Like Humans	Mar 9, 2018	NavigateTime Series	—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