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 4271–4280 of 6748 papers

Title	Date	Tasks	Status
Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands	Jul 8, 2020	Deep LearningEvent Detection	—Unverified
Winterization of Texan power system infrastructure is profitable but risky	Apr 21, 2021	Time SeriesTime Series Analysis	—Unverified
WISDoM: characterizing neurological timeseries with the Wishart distribution	Jan 28, 2020	EEGElectroencephalogram (EEG)	—Unverified
With Whom Do I Interact? Detecting Social Interactions in Egocentric Photo-streams	May 13, 2016	Time SeriesTime Series Analysis	—Unverified
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index	Oct 29, 2021	Time Series AnalysisWord Embeddings	—Unverified
Word Recognition from Continuous Articulatory Movement Time-series Data using Symbolic Representations	Aug 1, 2013	Speech RecognitionTime Series	—Unverified
XAI Methods for Neural Time Series Classification: A Brief Review	Aug 18, 2021	Deep LearningExplainable Artificial Intelligence (XAI)	—Unverified
Yes, DLGM! A novel hierarchical model for hazard classification	Sep 10, 2022	ClassificationTime Series	—Unverified
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection	Dec 9, 2021	Anomaly DetectionEnsemble Learning	—Unverified
You May Not Need Order in Time Series Forecasting	Oct 21, 2019	Time SeriesTime Series Analysis	—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