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 1091–1100 of 6748 papers

Title	Date	Tasks	Status
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 with the matrix-variate-t distribution	Jul 22, 2019	ClassificationGeneral Classification	—Unverified
Classifying Pattern and Feature Properties to Get a Θ(n) Checker and Reformulation for Sliding Time-Series Constraints	Dec 3, 2019	Time SeriesTime Series Analysis	—Unverified
Automatic estimation of heading date of paddy rice using deep learning	Jun 19, 2019	image-classificationImage Classification	—Unverified
A Neural Implementation of the Kalman Filter	Dec 1, 2009	Bayesian InferenceTime Series	—Unverified
Automatic Error Analysis of Human Motor Performance for Interactive Coaching in Virtual Reality	Sep 26, 2017	Dynamic Time Warpingfeature selection	—Unverified
An Euler-based GAN for time series	Jan 1, 2021	Time SeriesTime Series Analysis	—Unverified
A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders	Aug 16, 2021	Electromyography (EMG)Time Series	—Unverified
Automatic Detection Of Noise Events at Shooting Range Using Machine Learning	Jul 23, 2021	BIG-bench Machine LearningTime Series	—Unverified

Show:10 25 50

← PrevPage 110 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