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 1161–1170 of 6748 papers

Title	Date	Tasks	Status
Evaluating generation of chaotic time series by convolutional generative adversarial networks	May 26, 2023	Generative Adversarial NetworkTime Series	CodeCode Available
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise	May 25, 2023	Open-Ended Question AnsweringTime Series	—Unverified
Sliding Window Sum Algorithms for Deep Neural Networks	May 25, 2023	CPUGPU	—Unverified
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions	May 25, 2023	Decision MakingTime Series	—Unverified
Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter	May 19, 2023	NutritionTime Series Analysis	—Unverified
Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation	May 14, 2023	Readmission PredictionTime Series	—Unverified
Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective	May 4, 2023	Causal InferenceComputer Security	CodeCode Available
Ordinal time series analysis with the R package otsfeatures	Apr 24, 2023	ClusteringOutlier Detection	—Unverified
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain	Apr 20, 2023	DiagnosticEnsemble Learning	—Unverified
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning	Apr 9, 2023	ImputationTime Series	—Unverified

Show:10 25 50

← PrevPage 117 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