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 601–610 of 6748 papers

Title	Date	Tasks	Status	Hype
Detecting Anomalies within Time Series using Local Neural Transformations	Feb 8, 2022	Anomaly DetectionEpidemiology	CodeCode Available	1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning	Nov 29, 2020	BIG-bench Machine LearningInterpretable Machine Learning	CodeCode Available	1
Differentiable Compositional Kernel Learning for Gaussian Processes	Jun 12, 2018	Bayesian OptimizationGaussian Processes	CodeCode Available	1
Differentiable Divergences Between Time Series	Oct 16, 2020	Dynamic Time WarpingTime Series	CodeCode Available	1
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation	Jun 13, 2023	Heart rate estimationPhotoplethysmography (PPG) heart rate estimation	CodeCode Available	1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection	Aug 19, 2022	Anomaly DetectionRepresentation Learning	CodeCode Available	1
Anytime-valid off-policy inference for contextual bandits	Oct 19, 2022	counterfactualMulti-Armed Bandits	CodeCode Available	1
Discovering Nonlinear Relations with Minimum Predictive Information Regularization	Jan 7, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model	Apr 6, 2020	modelTime Series	CodeCode Available	1
A Generalised Signature Method for Multivariate Time Series Feature Extraction	Jun 1, 2020	Time SeriesTime Series Analysis	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