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 3331–3340 of 6748 papers

Title	Date	Tasks	Status
Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method	Jun 20, 2016	DiversityGeneral Classification	—Unverified
Instance Explainable Temporal Network For Multivariate Timeseries	May 26, 2020	ClassificationGeneral Classification	—Unverified
Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic	Nov 24, 2021	regressionTime Series Analysis	—Unverified
EigenNetworks	Jun 5, 2018	DescriptiveTime Series	—Unverified
NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education	Aug 17, 2022	Causal DiscoverySelection bias	—Unverified
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware	Jun 1, 2017	Computational EfficiencyTime Series	—Unverified
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods	Feb 21, 2022	BIG-bench Machine LearningFault Detection	—Unverified
Integrated information and dimensionality in continuous attractor dynamics	Jan 20, 2017	Time Series Analysis	—Unverified
A novel convolutional neural network model to remove muscle artifacts from EEG	Oct 22, 2020	DenoisingEEG	—Unverified
Joint cardiac T_1 mapping and cardiac function estimation using a deep manifold framework	May 16, 2022	Image ReconstructionMotion Estimation	—Unverified

Show:10 25 50

← PrevPage 334 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