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 4961–4970 of 6748 papers

Title	Date	Tasks	Status
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy	Dec 2, 2016	AstronomyClustering	—Unverified
A General Framework for Hypercomplex-valued Extreme Learning Machines	Jan 15, 2021	Time SeriesTime Series Analysis	—Unverified
CASU2Net: Cascaded Unification Network by a Two-step Early Fusion for Fault Detection in Offshore Wind Turbines	Nov 24, 2020	Fault DetectionTime Series	—Unverified
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine	Sep 18, 2018	Feature Engineeringfeature selection	—Unverified
A General Method for Event Detection on Social Media	Jun 4, 2021	Event DetectionTime Series	—Unverified
A Generative Modeling Approach to Limited Channel ECG Classification	Feb 18, 2018	ClassificationDiagnostic	—Unverified
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition	Sep 6, 2020	Emotion Recognitionfeature selection	—Unverified
Agentic Retrieval-Augmented Generation for Time Series Analysis	Aug 18, 2024	RAGRetrieval	—Unverified
A geometric analysis of nonlinear dynamics and its application to financial time series	Dec 22, 2020	Time SeriesTime Series Analysis	—Unverified
A geometric approach to conditioning belief functions	Apr 21, 2021	Time SeriesTime Series Analysis	—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