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 2691–2700 of 6748 papers

Title	Date	Tasks	Status
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data	Oct 13, 2020	DescriptiveTime Series	—Unverified
Correlations and Flow of Information between The New York Times and Stock Markets	Jul 18, 2017	Sentiment AnalysisTime Series	—Unverified
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process	Jul 11, 2018	Bayesian InferenceTime Series	—Unverified
Correlation Based Feature Subset Selection for Multivariate Time-Series Data	Nov 26, 2021	Time SeriesTime Series Analysis	—Unverified
An anomaly prediction framework for financial IT systems using hybrid machine learning methods	Jul 30, 2019	BIG-bench Machine LearningHybrid Machine Learning	—Unverified
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results	Aug 29, 2018	Correlated Time Series ForecastingMulti-Task Learning	—Unverified
Correcting motion induced fluorescence artifacts in two-channel neural imaging	Apr 26, 2022	Time Series AnalysisVocal Bursts Valence Prediction	—Unverified
A statistical test of market efficiency based on information theory	Aug 25, 2022	Time SeriesTime Series Analysis	—Unverified
An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation	Jun 20, 2022	Time SeriesTime Series Analysis	—Unverified
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems	Aug 3, 2022	Time 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