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 1421–1430 of 6748 papers

Title	Date	Tasks	Status	Score
Machine learning with neural networks	Jan 17, 2019	BIG-bench Machine LearningObject Recognition	CodeCode Available	5
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records	Jan 18, 2022	Language ModellingPrediction	CodeCode Available	5
Classification of multivariate weakly-labelled time-series with attention	Feb 16, 2021	ClassificationEEG	CodeCode Available	5
Conditioning non-linear and infinite-dimensional diffusion processes	Feb 2, 2024	Time SeriesTime Series Analysis	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
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification	Jun 14, 2016	ClassificationGeneral Classification	CodeCode Available	5
Experimental study of time series forecasting methods for groundwater level prediction	Sep 28, 2022	ManagementTime Series	CodeCode Available	5
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence	Nov 11, 2022	feature selectionFunctional Connectivity	CodeCode Available	5
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	Jun 29, 2021	Self-Supervised LearningTime Series	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

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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