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 2361–2370 of 6748 papers

Title	Date	Tasks	Status
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting	Jun 10, 2020	Tensor DecompositionTime Series	—Unverified
Adaptive deep learning for nonlinear time series models	Jul 6, 2022	Deep Learningregression	—Unverified
Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series	Jan 19, 2021	Information RetrievalRetrieval	—Unverified
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning	Oct 12, 2017	Multiple Instance LearningTime Series	—Unverified
Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning	Feb 1, 2021	DenoisingTime Series	—Unverified
Error Autocorrelation Objective Function for Improved System Modeling	Aug 8, 2020	Time Series Analysis	—Unverified
Cause-Effect Preservation and Classification using Neurochaos Learning	Jan 28, 2022	ClassificationTime Series	—Unverified
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey	Apr 2, 2021	Autonomous DrivingExplainable artificial intelligence	—Unverified
Entropy Analysis of Financial Time Series	Jul 25, 2018	State Space ModelsTime Series	—Unverified
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting	Jul 8, 2021	DiversityTime 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