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 1631–1640 of 6748 papers

Title	Date	Tasks	Status
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies	Jul 21, 2021	ArticlesDeep Learning	—Unverified
Analytics of Business Time Series Using Machine Learning and Bayesian Inference	May 25, 2022	Bayesian InferenceBIG-bench Machine Learning	—Unverified
Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework	Mar 24, 2020	BIG-bench Machine LearningTime Series	—Unverified
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks	Feb 21, 2018	Gaussian ProcessesTime Series	—Unverified
Data-driven forecasting of solar irradiance	Jan 10, 2018	Predictionregression	—Unverified
Data-Driven Forecast of Dengue Outbreaks in Brazil: A Critical Assessment of Climate Conditions for Different Capitals	Dec 31, 2016	Compressive SensingDimensionality Reduction	—Unverified
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators	Mar 15, 2019	Time SeriesTime Series Analysis	—Unverified
Data-driven Influence Based Clustering of Dynamical Systems	Apr 5, 2022	AstronomyClustering	—Unverified
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks	Dec 2, 2021	Time SeriesTime Series Analysis	—Unverified
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading	Sep 5, 2018	Time SeriesTime Series Analysis	—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