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 2141–2150 of 6748 papers

Title	Date	Tasks	Status
Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm	Jul 8, 2020	Time SeriesTime Series Analysis	—Unverified
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes	Sep 16, 2020	Time Series AnalysisVariational Inference	—Unverified
Cognitive forces shape the dynamics of word usage across multiple languages	Jan 12, 2022	Time SeriesTime Series Analysis	—Unverified
Cognitive Computing to Optimize IT Services	Dec 28, 2021	Language IdentificationText Summarization	—Unverified
A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks	Dec 15, 2021	Time SeriesTime Series Analysis	—Unverified
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification	Apr 14, 2020	DiversityGeneral Classification	—Unverified
Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model	Jul 31, 2018	Time SeriesTime Series Analysis	—Unverified
A Predictive Autoscaler for Elastic Batch Jobs	Oct 10, 2020	SchedulingTime Series	—Unverified
Adaptive model selection in photonic reservoir computing by reinforcement learning	Apr 27, 2020	Load ForecastingModel Selection	—Unverified
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series	Jun 6, 2020	BIG-bench Machine LearningGaussian Processes	—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