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 4381–4390 of 6748 papers

Title	Date	Tasks	Status
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining	May 1, 2020	Dynamic Time WarpingTime Series	—Unverified
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions	Apr 16, 2021	Earth Observationparameter estimation	—Unverified
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction	Mar 24, 2020	ICU MortalityMortality Prediction	—Unverified
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis	Mar 28, 2022	ICU AdmissionTime Series	—Unverified
Interdependency between the Stock Market and Financial News	Sep 1, 2019	Time SeriesTime Series Analysis	—Unverified
Interpolation and Gap Filling of Landsat Reflectance Time Series	Dec 11, 2020	Time SeriesTime Series Analysis	—Unverified
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series	Sep 15, 2021	Time SeriesTime Series Analysis	—Unverified
Interpretable Categorization of Heterogeneous Time Series Data	Aug 30, 2017	ClusteringCollision Avoidance	—Unverified
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques	Jul 24, 2019	Autonomous VehiclesClassification	—Unverified
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks	Dec 31, 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