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 941–950 of 6748 papers

Title	Date	Tasks	Status
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection	Aug 19, 2017	Gaussian ProcessesMissing Values	—Unverified
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series	Jun 3, 2019	Time SeriesTime Series Analysis	—Unverified
Can automated smoothing significantly improve benchmark time series classification algorithms?	Nov 1, 2018	ClassificationDynamic Time Warping	—Unverified
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System	Jan 7, 2022	Bayesian OptimizationTime Series Analysis	—Unverified
An improved LogNNet classifier for IoT application	May 30, 2021	Time SeriesTime Series Analysis	—Unverified
A fast noise filtering algorithm for time series prediction using recurrent neural networks	Jul 16, 2020	Time SeriesTime Series Analysis	—Unverified
Animal behavior classification via deep learning on embedded systems	Nov 24, 2021	ClassificationDeep Learning	—Unverified
Animal Behavior Classification via Accelerometry Data and Recurrent Neural Networks	Nov 24, 2021	ClassificationTime Series	—Unverified
A Fast Evidential Approach for Stock Forecasting	Apr 12, 2021	PredictionStock Price Prediction	—Unverified
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values	Aug 11, 2018	Missing ValuesTime 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