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 3341–3350 of 6748 papers

Title	Date	Tasks	Status
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling	Jan 13, 2021	Feature Importancefeature selection	—Unverified
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions	Apr 16, 2021	Earth Observationparameter estimation	—Unverified
A Novel CNN-LSTM-based Approach to Predict Urban Expansion	Mar 2, 2021	Image SegmentationSemantic Segmentation	—Unverified
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction	Mar 24, 2020	ICU MortalityMortality Prediction	—Unverified
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis	Mar 28, 2022	ICU AdmissionTime Series	—Unverified
Day Level Forecasting for Coronavirus Disease (COVID-19) Spread: Analysis, Modeling and Recommendations	Mar 15, 2020	Time SeriesTime Series Analysis	—Unverified
A Graph-constrained Changepoint Detection Approach for ECG Segmentation	Apr 24, 2020	QRS Complex DetectionTime Series	—Unverified
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data	Sep 16, 2022	Time SeriesTime Series Analysis	—Unverified
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes	Sep 16, 2020	Time Series AnalysisVariational Inference	—Unverified
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging	May 28, 2024	State Space ModelsTime 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