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 2761–2770 of 6748 papers

Title	Date	Tasks	Status
Contrastive Learning for Time Series on Dynamic Graphs	Sep 21, 2022	Activity RecognitionAnomaly Detection	—Unverified
Learning Informative Health Indicators Through Unsupervised Contrastive Learning	Aug 28, 2022	Anomaly DetectionContrastive Learning	—Unverified
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction	Jun 16, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Contrastive Conditional Neural Processes	Mar 8, 2022	Contrastive LearningMeta-Learning	—Unverified
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction	May 10, 2020	regressionTime Series Analysis	—Unverified
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces	Jun 21, 2022	EEGElectroencephalogram (EEG)	—Unverified
Contour map of estimation error for Expected Shortfall	Feb 22, 2015	Time SeriesTime Series Analysis	—Unverified
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19	Oct 18, 2020	Time SeriesTime Series Analysis	—Unverified
A Multi-Scale Tensor Network Architecture for Classification and Regression	Jan 22, 2020	ClassificationGeneral Classification	—Unverified
Continuous Sign Language Recognition via Temporal Super-Resolution Network	Jul 3, 2022	Sign Language RecognitionSuper-Resolution	—Unverified

Show:10 25 50

← PrevPage 277 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