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 2631–2640 of 6748 papers

Title	Date	Tasks	Status
A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price	Oct 13, 2020	Deep LearningTime Series	—Unverified
Critical Transitions in Intensive Care Units: A Sepsis Case Study	Oct 23, 2019	Time SeriesTime Series Analysis	—Unverified
A Comparative Analysis of Machine Learning and Grey Models	Apr 2, 2021	BIG-bench Machine LearningSurvey	—Unverified
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting	Apr 20, 2020	Mathematical ProofsPrivacy Preserving	—Unverified
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series	Nov 30, 2020	AstronomyBIG-bench Machine Learning	—Unverified
Analysis of Blink Rate Variability during reading and memory testing	Mar 27, 2016	EEGElectroencephalogram (EEG)	—Unverified
Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data	Feb 21, 2023	Time SeriesTime Series Analysis	—Unverified
Creating cloud-free satellite imagery from image time series with deep learning	Nov 1, 2020	Image GenerationMissing Values	—Unverified
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models	Aug 13, 2020	Decision MakingTime Series	—Unverified
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution	Mar 3, 2020	Anomaly DetectionClustering	—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