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 2581–2590 of 6748 papers

Title	Date	Tasks	Status
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations	Jan 1, 2020	Time SeriesTime Series Analysis	—Unverified
Clustering evolving data using kernel-based methods	Nov 20, 2014	ClusteringCommunity Detection	—Unverified
Clustering Financial Time Series: How Long is Enough?	Mar 13, 2016	ClusteringTime Series	—Unverified
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics	Oct 24, 2017	blind source separationDictionary Learning	—Unverified
Fast and Simple Optimization for Poisson Likelihood Models	Aug 3, 2016	Time SeriesTime Series Analysis	—Unverified
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series	Dec 2, 2020	feature selectionTime Series	—Unverified
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates	Jun 29, 2019	Time SeriesTime Series Analysis	—Unverified
Fast CRDNN: Towards on Site Training of Mobile Construction Machines	Jun 4, 2020	Time Series AnalysisTransfer Learning	—Unverified
Fast Distribution Grid Line Outage Identification with μPMU	Nov 14, 2018	Change Point DetectionTime Series	—Unverified
Ensemble Grammar Induction For Detecting Anomalies in Time Series	Jan 29, 2020	Anomaly DetectionEnsemble Learning	—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