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 3641–3650 of 6748 papers

Title	Date	Tasks	Status
Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information	Sep 1, 2022	PredictionTime Series Analysis	—Unverified
Recurrent Neural Network Architecture based on Dynamic Systems Theory for Data Driven Modelling of Complex Physical Systems	Jan 1, 2021	Data AugmentationTime Series	—Unverified
Recurrent Neural Network Based Modeling of Gene Regulatory Network Using Bat Algorithm	Aug 21, 2015	Time SeriesTime Series Analysis	—Unverified
Recurrent Neural Networks and Universal Approximation of Bayesian Filters	Nov 1, 2022	Time SeriesTime Series Analysis	—Unverified
Recurrent Neural Networks: An Embedded Computing Perspective	Jul 23, 2019	Time SeriesTime Series Analysis	—Unverified
Recurrent Neural Networks are Universal Filters	Sep 25, 2019	Time Series Analysis	—Unverified
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets	Feb 2, 2017	Anomaly DetectionDeep Learning	—Unverified
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling	Feb 14, 2022	Time SeriesTime Series Analysis	—Unverified
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study	Mar 17, 2022	Load ForecastingTime Series	—Unverified
Recurrent Neural Networks for Time Series Forecasting	Jan 1, 2019	Feature EngineeringTime Series	—Unverified

Show:10 25 50

← PrevPage 365 of 675Next →

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