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 1451–1460 of 6748 papers

Title	Date	Tasks	Status
Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model	Dec 15, 2022	modelTime Series	—Unverified
Construction of neural networks for realization of localized deep learning	Mar 9, 2018	Deep LearningDimensionality Reduction	—Unverified
Dalek -- a deep-learning emulator for TARDIS	Jul 3, 2020	CPUDeep Learning	—Unverified
Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network	Oct 14, 2020	MarketingRecommendation Systems	—Unverified
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity	Dec 22, 2017	DiversityDynamic Time Warping	—Unverified
Contemporary machine learning: a guide for practitioners in the physical sciences	Dec 20, 2017	BIG-bench Machine LearningTime Series	—Unverified
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community	Oct 21, 2019	Time SeriesTime Series Analysis	—Unverified
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context	May 3, 2021	Time SeriesTime Series Analysis	—Unverified
Context-Aware Ensemble Learning for Time Series	Nov 30, 2022	Ensemble LearningTime Series	—Unverified
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift	Jan 11, 2022	Domain Adaptationregression	—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