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 2301–2310 of 6748 papers

Title	Date	Tasks	Status
Automatic deep learning for trend prediction in time series data	Sep 17, 2020	AutoMLDeep Learning	—Unverified
A network-based transfer learning approach to improve sales forecasting of new products	May 13, 2020	Time SeriesTime Series Analysis	—Unverified
An Estimation of Online Video User Engagement from Features of Continuous Emotions	May 4, 2021	feature selectionTime Series Analysis	—Unverified
Deep Learning for Time-Series Analysis	Jan 7, 2017	Deep LearningGeneral Classification	—Unverified
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies	Jul 21, 2021	ArticlesDeep Learning	—Unverified
Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection	Sep 26, 2016	Time SeriesTime Series Analysis	—Unverified
Deep learning for structural health monitoring: An application to heritage structures	Nov 4, 2022	Anomaly DetectionStructural Health Monitoring	—Unverified
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data	Nov 6, 2019	Time SeriesTime Series Analysis	—Unverified
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition	Jun 19, 2023	Feature EngineeringLoad Forecasting	—Unverified
Deep Learning for Satellite Image Time Series Analysis: A Review	Apr 5, 2024	Deep LearningEarth Observation	—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