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 4811–4820 of 6748 papers

Title	Date	Tasks	Status
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants	May 26, 2020	Additive modelsDemand Forecasting	—Unverified
A Bayesian approach for structure learning in oscillating regulatory networks	Apr 24, 2015	Time SeriesTime Series Analysis	—Unverified
A Bayesian Approach to Sparse plus Low rank Network Identification	Mar 25, 2015	Network Identificationregression	—Unverified
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat	Feb 8, 2019	Decision MakingTime Series	—Unverified
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport	Nov 29, 2019	Bayesian InferenceData Augmentation	—Unverified
A Bayesian Ensemble for Unsupervised Anomaly Detection	Oct 24, 2016	Anomaly DetectionClustering	—Unverified
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction	Jan 31, 2023	Data AugmentationGenerative Adversarial Network	—Unverified
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting	Jan 23, 2020	Bayesian InferenceTime Series	—Unverified
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves	Aug 18, 2016	Decision MakingKidney Function	—Unverified
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series	Mar 27, 2020	Anomaly DetectionClustering	—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