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 3061–3070 of 6748 papers

Title	Date	Tasks	Status
Hierarchical Time Series Forecasting with Bayesian Modeling	Aug 28, 2023	Time SeriesTime Series Analysis	—Unverified
High Dimensional Forecasting via Interpretable Vector Autoregression	Dec 17, 2014	Time SeriesTime Series Analysis	—Unverified
Identifying the module structure of swarms using a new framework of network-based time series clustering	Mar 1, 2021	ClusteringTime Series	—Unverified
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting	Nov 28, 2022	Hyperparameter OptimizationModel Selection	—Unverified
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding	Jan 29, 2018	Action ClassificationAction Segmentation	—Unverified
HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions	Jun 11, 2021	Anomaly DetectionTime Series	—Unverified
Correlations and Flow of Information between The New York Times and Stock Markets	Jul 18, 2017	Sentiment AnalysisTime Series	—Unverified
High dimensional Bayesian Optimization Algorithm for Complex System in Time Series	Aug 4, 2021	Bayesian OptimizationDimensionality Reduction	—Unverified
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series	Jan 1, 2022	Bayesian Optimizationglobal-optimization	—Unverified
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming	Jun 26, 2020	Decision MakingTime Series	—Unverified

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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