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 2051–2060 of 6748 papers

Title	Date	Tasks	Status
Devil in the Detail: Attack Scenarios in Industrial Applications	May 24, 2019	Anomaly DetectionTime Series	—Unverified
Bayesian prediction of jumps in large panels of time series data	Mar 28, 2019	Time SeriesTime Series Analysis	—Unverified
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series	Sep 2, 2022	Time SeriesTime Series Analysis	—Unverified
A First Option Calibration of the GARCH Diffusion Model by a PDE Method	Jan 18, 2018	Time SeriesTime Series Analysis	—Unverified
A first econometric analysis of the CRIX family	Sep 25, 2020	ClusteringDiagnostic	—Unverified
A Convolutional Neural Network Approach to Supernova Time-Series Classification	Jul 19, 2022	ClassificationTime Series	—Unverified
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells	Oct 12, 2021	Time Series AnalysisTransfer Learning	—Unverified
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents	Jun 10, 2020	Autonomous DrivingReinforcement Learning (RL)	—Unverified
Bayesian Optimisation for a Biologically Inspired Population Neural Network	Apr 13, 2021	Bayesian OptimisationRhythm	—Unverified
Development of an Algorithm for Identifying Changes in System Dynamics from Time Series	Jun 28, 2020	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