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 4191–4200 of 6748 papers

Title	Date	Tasks	Status
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition	Feb 13, 2020	Action RecognitionMissing Values	—Unverified
Variational Dynamic Mixtures	Oct 20, 2020	Probabilistic Time Series ForecastingTime Series	—Unverified
Variational Gaussian Process Dynamical Systems	Dec 1, 2011	Dimensionality ReductionTime Series	—Unverified
Variational Gaussian Process State-Space Models	Jun 18, 2014	Gaussian ProcessesState Space Models	—Unverified
Variational Hyper RNN for Sequence Modeling	Feb 24, 2020	DecoderTime Series	—Unverified
Variational Inference Aided Estimation of Time Varying Channels	Oct 31, 2022	Time SeriesTime Series Analysis	—Unverified
Variational Inference for Continuous-Time Switching Dynamical Systems	Sep 29, 2021	Time SeriesTime Series Analysis	—Unverified
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network	Mar 2, 2020	Time SeriesTime Series Analysis	—Unverified
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series	Feb 23, 2016	Anomaly DetectionTime Series	—Unverified
Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data	Apr 14, 2016	SpecificityTime 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