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 3091–3100 of 6748 papers

Title	Date	Tasks	Status
Emulating dynamic non-linear simulators using Gaussian processes	Feb 21, 2018	Gaussian ProcessesTime Series	—Unverified
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production	Sep 25, 2022	Earth ObservationTime Series	—Unverified
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News	Jul 23, 2020	Deep LearningPhilosophy	—Unverified
HiPPO-KAN: Efficient KAN Model for Time Series Analysis	Oct 19, 2024	Time SeriesTime Series Analysis	—Unverified
Improved PAC-Bayesian Bounds for Linear Regression	Dec 6, 2019	regressionTime Series	—Unverified
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics	May 11, 2018	Time SeriesTime Series Analysis	—Unverified
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting	Jan 22, 2022	Graph LearningGraph Neural Network	—Unverified
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting	Mar 30, 2021	Time SeriesTime Series Analysis	—Unverified
Empowering Time Series Analysis with Large Language Models: A Survey	Feb 5, 2024	SurveyTime Series	—Unverified
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models	Mar 14, 2025	DiversityLanguage Modeling	—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