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 1191–1200 of 6748 papers

Title	Date	Tasks	Status
An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series	Nov 22, 2017	Time SeriesTime Series Analysis	—Unverified
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations	Dec 25, 2024	counterfactualCounterfactual Explanation	—Unverified
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry	Jul 15, 2020	Deep LearningMultivariate Time Series Forecasting	—Unverified
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion	Jan 1, 2021	Time SeriesTime Series Analysis	—Unverified
An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics	May 10, 2022	Cloud ComputingEdge-computing	—Unverified
AttentionFlow: Visualising Influence in Networks of Time Series	Feb 3, 2021	Time SeriesTime Series Analysis	—Unverified
Attention-based Neural Network for Driving Environment Complexity Perception	Jun 21, 2021	object-detectionObject Detection	—Unverified
An Auto-Regressive Formulation for Smoothing and Moving Mean with Exponentially Tapered Windows	Jun 29, 2022	Time SeriesTime Series Analysis	—Unverified
Admissible Time Series Motif Discovery with Missing Data	Feb 15, 2018	ClusteringTime Series	—Unverified
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes	Apr 21, 2021	ManagementTime Series	—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