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 71–80 of 6748 papers

Title	Date	Tasks	Status	Hype
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution	Jan 5, 2023	DecoderTime Series	CodeCode Available	2
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation	Dec 28, 2022	Multivariate Time Series ForecastingTime Series	CodeCode Available	2
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding	Nov 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
Liquid Structural State-Space Models	Sep 26, 2022	Heart rate estimationLong-range modeling	CodeCode Available	2
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models	Aug 19, 2022	ImputationMissing Values	CodeCode Available	2
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification	Aug 13, 2022	Contrastive LearningData Augmentation	CodeCode Available	2
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting	Aug 10, 2022	Multivariate Time Series ForecastingTime Series	CodeCode Available	2
Learning Deep Time-index Models for Time Series Forecasting	Jul 13, 2022	Inductive BiasMeta-Learning	CodeCode Available	2
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python	Jul 7, 2022	BIG-bench Machine LearningDecision Making	CodeCode Available	2
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting	Jun 18, 2022	Graph Neural NetworkMultivariate Time Series Forecasting	CodeCode Available	2

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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