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 2161–2170 of 6748 papers

Title	Date	Tasks	Status
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree	Dec 13, 2022	ClusteringOutlier Detection	—Unverified
Demand Forecasting of Individual Probability Density Functions with Machine Learning	Sep 15, 2020	BIG-bench Machine LearningDecision Making	—Unverified
Demand Forecasting in Smart Grid Using Long Short-Term Memory	Jul 28, 2021	Demand ForecastingManagement	—Unverified
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting	Nov 21, 2020	Feature EngineeringTime Series	—Unverified
An Explainer for Temporal Graph Neural Networks	Sep 2, 2022	Time SeriesTime Series Analysis	—Unverified
Aedes-AI: Neural Network Models of Mosquito Abundance	Apr 21, 2021	Time SeriesTime Series Analysis	—Unverified
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models	Jan 6, 2021	Demand ForecastingManagement	—Unverified
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis	Feb 22, 2025	Decision MakingDemand Forecasting	—Unverified
A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property	Nov 8, 2015	AllGeneral Classification	—Unverified
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases	Apr 21, 2021	feature selectionPrediction	—Unverified

Show:10 25 50

← PrevPage 217 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