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 871–880 of 6748 papers

Title	Date	Tasks	Status	Hype
Gaussian Process Prior Variational Autoencoders	Oct 28, 2018	Time SeriesTime Series Analysis	CodeCode Available	1
Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects	Oct 1, 2018	regressionTime Series	CodeCode Available	1
Proximity Forest: An effective and scalable distance-based classifier for time series	Aug 31, 2018	AttributeEarth Observation	CodeCode Available	1
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains	Aug 12, 2018	AllClassification	CodeCode Available	1
Differentiable Compositional Kernel Learning for Gaussian Processes	Jun 12, 2018	Bayesian OptimizationGaussian Processes	CodeCode Available	1
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals	Jun 5, 2018	Data AugmentationEEG	CodeCode Available	1
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare	Jun 5, 2018	Gaussian ProcessesTime Series	CodeCode Available	1
Real-time Air Pollution prediction model based on Spatiotemporal Big data	Apr 5, 2018	Air Pollution PredictionPrediction	CodeCode Available	1
Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk Modeling	Mar 22, 2018	Time SeriesTime Series Analysis	CodeCode Available	1
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	Mar 4, 2018	Audio SynthesisLanguage Modelling	CodeCode Available	1

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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