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 1921–1930 of 6748 papers

Title	Date	Tasks	Status
Comparison of PCA with ICA from data distribution perspective	Sep 29, 2017	Time SeriesTime Series Analysis	—Unverified
Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective	May 10, 2018	Density EstimationTime Series	—Unverified
A Review of Mathematical and Computational Methods in Cancer Dynamics	Jan 5, 2022	Time SeriesTime Series Analysis	—Unverified
Dependent Matérn Processes for Multivariate Time Series	Feb 11, 2015	Computational EfficiencyTime Series	—Unverified
Depression Diagnosis and Drug Response Prediction via Recurrent Neural Networks and Transformers Utilizing EEG Signals	Mar 9, 2023	Drug Response PredictionEEG	—Unverified
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks	Mar 8, 2021	Time SeriesTime Series Analysis	—Unverified
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China	Jul 25, 2020	BIG-bench Machine LearningTime Series Analysis	—Unverified
ANFIS-based prediction of power generation for combined cycle power plant	Oct 7, 2022	Time SeriesTime Series Analysis	—Unverified
Deriving land surface phenology indicators from CO2 eddy covariance measurements	Jul 1, 2013	Time SeriesTime Series Analysis	—Unverified
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches	Mar 3, 2022	Bayesian InferenceTime 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