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 1081–1090 of 6748 papers

Title	Date	Tasks	Status
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone	Aug 10, 2020	Bayesian OptimizationTime Series	—Unverified
Automatic Registration and Clustering of Time Series	Dec 8, 2020	ClusteringTime Series	—Unverified
A Neural Stochastic Volatility Model	Nov 30, 2017	modelTime Series	—Unverified
Automatic Generation of Student Report Cards	Sep 1, 2016	Sentiment AnalysisText Generation	—Unverified
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces	Sep 28, 2018	Domain AdaptationTime Series Analysis	—Unverified
Automatic Generation of Probabilistic Programming from Time Series Data	Jul 4, 2016	DescriptiveProbabilistic Programming	—Unverified
Automatic Forecasting via Meta-Learning	Sep 29, 2021	Meta-LearningTime Series	—Unverified
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices	Jul 23, 2019	Anomaly DetectionCPU	—Unverified
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series	Dec 27, 2017	FormPrediction Intervals	—Unverified
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks	Nov 17, 2017	General ClassificationImputation	—Unverified

Show:10 25 50

← PrevPage 109 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