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 1401–1410 of 6748 papers

Title	Date	Tasks	Status
A cloud-IoT platform for passive radio sensing: challenges and application case studies	Mar 26, 2021	Time SeriesTime Series Analysis	—Unverified
A Signal Detection Scheme Based on Deep Learning in OFDM Systems	Jul 24, 2021	Time SeriesTime Series Analysis	—Unverified
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis	Sep 27, 2018	Time SeriesTime Series Analysis	—Unverified
A Multi-Modal and Multitask Benchmark in the Clinical Domain	Jan 1, 2021	BIG-bench Machine LearningDecompensation	—Unverified
A Short Image Series Based Scheme for Time Series Digital Image Correlation	Oct 28, 2014	STSTime Series	—Unverified
A Shapelet Transform for Multivariate Time Series Classification	Dec 18, 2017	ClassificationGeneral Classification	—Unverified
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture	Jul 11, 2022	Decision MakingEEG	—Unverified
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting	Apr 20, 2020	Mathematical ProofsPrivacy Preserving	—Unverified
A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring	Sep 30, 2022	ClassificationMulti-Label Classification	—Unverified
A Sequential Modelling Approach for Indoor Temperature Prediction and Heating Control in Smart Buildings	Sep 21, 2020	energy managementManagement	—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