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 2171–2180 of 6748 papers

Title	Date	Tasks	Status
Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia	Dec 3, 2019	Image Quality AssessmentSuper-Resolution	—Unverified
Defined the predictors of the lightning over India by using artificial neural network	Apr 28, 2021	regressionTime Series	—Unverified
An Experimental Evaluation of Nearest Neighbour Time Series Classification	Jun 18, 2014	ClassificationDynamic Time Warping	—Unverified
A dynamic conditional approach to portfolio weights forecasting	Apr 26, 2020	Time SeriesTime Series Analysis	—Unverified
A consistent deterministic regression tree for non-parametric prediction of time series	May 7, 2014	Predictionregression	—Unverified
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection	May 1, 2022	regressionTime Series	—Unverified
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions	Sep 23, 2022	Computational EfficiencyTime Series	—Unverified
A Wavelet-CNN-LSTM Model for Tailings Pond Risk Prediction	Sep 30, 2020	Time Series Analysis	—Unverified
Deep Video Prediction for Time Series Forecasting	Feb 24, 2021	Decision MakingPrediction	—Unverified
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction	Mar 29, 2022	energy managementManagement	—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