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 2491–2500 of 6748 papers

Title	Date	Tasks	Status
A Bayesian Ensemble for Unsupervised Anomaly Detection	Oct 24, 2016	Anomaly DetectionClustering	—Unverified
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism	Aug 21, 2019	Time Series Analysis	—Unverified
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics	Nov 11, 2022	Time SeriesTime Series Analysis	—Unverified
A topological analysis of cointegrated data: a Z24 Bridge case study	Sep 12, 2022	Structural Health MonitoringTime Series	—Unverified
Data manipulation detection via permutation information theory quantifiers	Jan 16, 2015	Time SeriesTime Series Analysis	—Unverified
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting	Apr 21, 2022	modelSTS	—Unverified
An analysis of deep neural networks for predicting trends in time series data	Sep 16, 2020	Speech RecognitionTime Series	—Unverified
Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data Imaging	Mar 10, 2022	Action RecognitionClassification	—Unverified
Data Exploration and Validation on dense knowledge graphs for biomedical research	Dec 8, 2019	Knowledge GraphsTime Series	—Unverified
Data-Driven Time Series Reconstruction for Modern Power Systems Research	Oct 26, 2021	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