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 1281–1290 of 6748 papers

Title	Date	Tasks	Status
A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters	Nov 5, 2022	Time Series Analysis	—Unverified
Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions	Apr 5, 2022	Time SeriesTime Series Analysis	—Unverified
Active Learning of Driving Scenario Trajectories	Aug 6, 2021	Active LearningAutonomous Vehicles	—Unverified
A Deep Learning Model for Forecasting Global Monthly Mean Sea Surface Temperature Anomalies	Feb 21, 2022	Time Series AnalysisTime Series Prediction	—Unverified
Asymptotic nonparametric statistical analysis of stationary time series	Mar 30, 2019	ClusteringTime Series	—Unverified
Analysis of cyclical behavior in time series of stock market returns	Jun 12, 2017	Time SeriesTime Series Analysis	—Unverified
A Deep Learning Framework using Passive WiFi Sensing for Respiration Monitoring	Apr 19, 2017	Activity RecognitionDeep Learning	—Unverified
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces	Mar 24, 2017	ClassificationDynamic Time Warping	—Unverified
Asymmetric excitation of left- and right-tail extreme events probed using a Hawkes model: application to financial returns	Nov 24, 2020	AttributeTime Series	—Unverified
Analysis of complex circadian time series data using wavelets	Jul 29, 2021	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