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 111–120 of 6748 papers

Title	Date	Tasks	Status	Hype
Learning Deep Time-index Models for Time Series Forecasting	Jul 13, 2022	Inductive BiasMeta-Learning	CodeCode Available	2
Closed-form Continuous-time Neural Models	Jun 25, 2021	FormSentiment Analysis	CodeCode Available	2
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	Mar 15, 2022	BenchmarkingDomain Adaptation	CodeCode Available	2
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks	Sep 16, 2020	Anomaly DetectionBenchmarking	CodeCode Available	2
Conformal prediction interval for dynamic time-series	Oct 18, 2020	Conformal PredictionEnsemble Learning	CodeCode Available	2
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data	Dec 16, 2024	Language ModelingLanguage Modelling	CodeCode Available	2
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	Feb 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	2
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models	Aug 19, 2022	ImputationMissing Values	CodeCode Available	2
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation	Feb 4, 2023	Deep LearningTime Series	CodeCode Available	2
Vision Mamba: A Comprehensive Survey and Taxonomy	May 7, 2024	MambaMedical Image Analysis	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