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 1111–1120 of 6748 papers

Title	Date	Tasks	Status
An Equilibrium Model for the Cross-Section of Liquidity Premia	Nov 27, 2020	Time SeriesTime Series Analysis	—Unverified
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate	May 17, 2016	General ClassificationGPR	—Unverified
Cluster-and-Conquer: A Framework For Time-Series Forecasting	Oct 26, 2021	Time SeriesTime Series Analysis	—Unverified
Inferring Global Dynamics of a Black-Box System Using Machine Learning	May 10, 2019	BIG-bench Machine LearningTime Series	—Unverified
Cloud Cover Nowcasting with Deep Learning	Sep 24, 2020	Deep LearningImage Segmentation	—Unverified
Automated Testing of AI Models	Oct 7, 2021	FairnessSpeech-to-Text	—Unverified
An Ensemble method for Content Selection for Data-to-text Systems	Jun 9, 2015	General ClassificationMulti-Label Classification	—Unverified
CLPVG: Circular limited penetrable visibility graph as a new network model for time series	Mar 1, 2021	ClusteringEEG	—Unverified
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series	May 30, 2025	Anomaly DetectionTime Series	—Unverified
Cluster-based Feature Importance Learning for Electronic Health Record Time-series	Sep 29, 2021	Feature ImportanceRespiratory Failure	—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