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 1661–1670 of 6748 papers

Title	Date	Tasks	Status
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers	Oct 2, 2022	Pose EstimationPose Tracking	CodeCode Available
Solar Power Time Series Forecasting Utilising Wavelet Coefficients	Oct 1, 2022	Predictionregression	—Unverified
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications	Oct 1, 2022	Activity RecognitionDensity Estimation	—Unverified
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring	Sep 30, 2022	ClassificationMulti-Label Classification	—Unverified
A Sequence-Aware Recommendation Method Based on Complex Networks	Sep 30, 2022	Matrix CompletionRecommendation Systems	—Unverified
Fast Inference for Quantile Regression with Tens of Millions of Observations	Sep 29, 2022	quantile regressionregression	—Unverified
A case study of spatiotemporal forecasting techniques for weather forecasting	Sep 29, 2022	Time SeriesTime Series Analysis	CodeCode Available
Explainable classification of astronomical uncertain time series	Sep 28, 2022	ClassificationTime Series	—Unverified
Non-contrastive representation learning for intervals from well logs	Sep 28, 2022	Representation LearningSelf-Supervised Learning	—Unverified
Masked Multi-Step Multivariate Time Series Forecasting with Future Information	Sep 28, 2022	Demand ForecastingMultivariate Time Series Forecasting	—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