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 3851–3860 of 6748 papers

Title	Date	Tasks	Status
Predictive maintenance on event logs: Application on an ATM fleet	Nov 22, 2020	General ClassificationTime Series Analysis	—Unverified
Time series classification for varying length series	Oct 10, 2019	ClassificationGeneral Classification	—Unverified
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior	Nov 21, 2019	ClusteringGeneral Classification	—Unverified
Time-Series Classification Through Histograms of Symbolic Polynomials	Jul 24, 2013	ClassificationEconometrics	—Unverified
Time Series Classification to Improve Poultry Welfare	Nov 7, 2018	ClassificationDictionary Learning	—Unverified
Time Series Classification Using Convolutional Neural Network On Imbalanced Datasets	Oct 10, 2021	ClassificationTime Series	—Unverified
Time Series Classification using the Hidden-Unit Logistic Model	Jun 16, 2015	Action RecognitionAction Unit Detection	—Unverified
Time Series Classification via Topological Data Analysis	Feb 3, 2021	ClassificationGeneral Classification	—Unverified
Time series clustering based on the characterisation of segment typologies	Oct 27, 2018	ClusteringTime Series	—Unverified
Time Series Clustering for Grouping Products Based on Price and Sales Patterns	Apr 18, 2022	ClusteringImage Clustering	—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