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 4261–4270 of 6748 papers

Title	Date	Tasks	Status
When Ramanujan meets time-frequency analysis in complicated time series analysis	Mar 31, 2020	Time SeriesTime Series Analysis	—Unverified
When Traffic Flow Prediction Meets Wireless Big Data Analytics	Sep 23, 2017	PredictionTime Series	—Unverified
Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits	Jan 22, 2021	Decision MakingManagement	—Unverified
Why is it Difficult to Detect Sudden and Unexpected Epidemic Outbreaks in Twitter?	Nov 10, 2016	ManagementTime Series Analysis	—Unverified
Wi-Motion: A Robust Human Activity Recognition Using WiFi Signals	Oct 27, 2018	Activity RecognitionHuman Activity Recognition	—Unverified
Wind power ramp prediction algorithm based on wavelet deep belief network	Feb 11, 2022	feature selectionPrediction	—Unverified
Wind speed forecast using random forest learning method	Mar 23, 2022	Time SeriesTime Series Analysis	—Unverified
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture	Feb 28, 2020	Ensemble LearningTime Series Analysis	—Unverified
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019	Jan 11, 2022	AutoMLManagement	—Unverified
Winning the ICCV 2019 Learning to Drive Challenge	Oct 23, 2019	Autonomous DrivingTime 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