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 1291–1300 of 6748 papers

Title	Date	Tasks	Status
Asymmetric Distributions from Constrained Mixtures	Mar 22, 2015	Time SeriesTime Series Analysis	—Unverified
A symbolic information approach to characterize response-related differences in cortical activity during a Go/No-Go task	Jan 22, 2021	Time SeriesTime Series Analysis	—Unverified
Analysis of chaotic dynamical systems with autoencoders	Sep 22, 2021	Time SeriesTime Series Analysis	—Unverified
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas	Oct 16, 2015	Deep LearningTime Series	—Unverified
A Survey on Time-Series Distance Measures	Dec 29, 2024	Anomaly DetectionSurvey	—Unverified
Analysis of Brain States from Multi-Region LFP Time-Series	Dec 1, 2014	Gaussian ProcessesTime Series	—Unverified
A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price	Oct 13, 2020	Deep LearningTime Series	—Unverified
A Comparative Analysis of Machine Learning and Grey Models	Apr 2, 2021	BIG-bench Machine LearningSurvey	—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

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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