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 1771–1780 of 6748 papers

Title	Date	Tasks	Status
Deep learning algorithm for data-driven simulation of noisy dynamical system	Feb 22, 2018	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	—Unverified
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients	Oct 16, 2019	Time Series Analysis	—Unverified
Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems	Nov 7, 2020	Model Predictive ControlTime Series	—Unverified
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters	Feb 17, 2021	Deep LearningTime Series Analysis	—Unverified
A review on distance based time series classification	Jun 12, 2018	ClassificationGeneral Classification	—Unverified
Deep Learning Architectures for FSCV, a Comparison	Dec 5, 2022	Deep LearningTime Series	—Unverified
Deep Learning based Covert Attack Identification for Industrial Control Systems	Sep 25, 2020	Deep LearningTime Series	—Unverified
A Data-Driven Approach for Modeling Stochasticity in Oil Market	Apr 24, 2018	Time SeriesTime Series Analysis	—Unverified
Denoising diffusion probabilistic models for probabilistic energy forecasting	Dec 6, 2022	Deep LearningDenoising	—Unverified
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders	Mar 6, 2019	DenoisingTime 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