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 1401–1410 of 6748 papers

Title	Date	Tasks	Status	Score
Adaptive-Halting Policy Network for Early Classification	Aug 4, 2019	ClassificationEarly Classification	CodeCode Available	5
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence	Mar 23, 2018	General ClassificationTime Series	CodeCode Available	5
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow	Nov 8, 2018	Cardiac SegmentationGeneral Classification	CodeCode Available	5
Exoplanet Detection using Machine Learning	Nov 28, 2020	BIG-bench Machine LearningTime Series Analysis	CodeCode Available	5
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks	Jul 6, 2020	Graph Neural NetworkTime Series	CodeCode Available	5
Experimental study of time series forecasting methods for groundwater level prediction	Sep 28, 2022	ManagementTime Series	CodeCode Available	5
Evolving-Graph Gaussian Processes	Jun 29, 2021	Gaussian Processesregression	CodeCode Available	5
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models	Apr 4, 2025	Time SeriesTime Series Analysis	CodeCode Available	5
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction	Nov 26, 2020	PredictionTime Series	CodeCode Available	5
Classification of multivariate weakly-labelled time-series with attention	Feb 16, 2021	ClassificationEEG	CodeCode Available	5

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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