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 5011–5020 of 6748 papers

Title	Date	Tasks	Status
A Machine Learning Approach for Smartphone-based Sensing of Roads and Driving Style	Aug 15, 2019	BIG-bench Machine LearningLearning-To-Rank	—Unverified
A machine learning approach to itinerary-level booking prediction in competitive airline markets	Mar 15, 2021	BIG-bench Machine LearningDemand Forecasting	—Unverified
A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes	Mar 22, 2019	BIG-bench Machine LearningGaussian Processes	—Unverified
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics	Nov 29, 2018	Anomaly DetectionBIG-bench Machine Learning	—Unverified
A machine learning search for optimal GARCH parameters	Jan 10, 2022	BIG-bench Machine LearningTime Series	—Unverified
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification	Feb 1, 2022	Autonomous DrivingBIG-bench Machine Learning	—Unverified
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models	Mar 10, 2020	PredictionTime Series	—Unverified
An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images	Jun 26, 2020	Anomaly DetectionTime Series	—Unverified
American Hate Crime Trends Prediction with Event Extraction	Nov 9, 2021	Event ExtractionHate Speech Detection	—Unverified
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data	Oct 7, 2021	Meta-LearningTime 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