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 561–570 of 6748 papers

Title	Date	Tasks	Status	Hype
WAX-ML: A Python library for machine learning and feedback loops on streaming data	Jun 11, 2021	BIG-bench Machine Learningreinforcement-learning	CodeCode Available	1
Semi-supervised Time Series Classification by Temporal Relation Prediction	Jun 11, 2021	ClassificationPrediction	CodeCode Available	1
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection	Jun 10, 2021	Fire DetectionMultivariate Time Series Forecasting	CodeCode Available	1
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting	Jun 10, 2021	Bayesian InferenceSpatio-Temporal Forecasting	CodeCode Available	1
Neighborhood Contrastive Learning Applied to Online Patient Monitoring	Jun 9, 2021	BIG-bench Machine LearningContrastive Learning	CodeCode Available	1
Explaining Time Series Predictions with Dynamic Masks	Jun 9, 2021	BIG-bench Machine LearningFeature Importance	CodeCode Available	1
Deep Learning Statistical Arbitrage	Jun 8, 2021	Deep LearningTime Series	CodeCode Available	1
Manifold Topology Divergence: a Framework for Comparing Data Manifolds	Jun 8, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Parameter Inference with Bifurcation Diagrams	Jun 8, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting	Jun 7, 2021	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