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 4451–4460 of 6748 papers

Title	Date	Tasks	Status
Joint Characterization of Multiscale Information in High Dimensional Data	Feb 18, 2021	Dimensionality ReductionTime Series	—Unverified
Joint community and anomaly tracking in dynamic networks	Jun 25, 2015	Community DetectionTime Series	—Unverified
Joint Estimation of Multiple Graphical Models from High Dimensional Time Series	Nov 1, 2013	parameter estimationTime Series	—Unverified
Joint Forecasting and Interpolation of Graph Signals Using Deep Learning	Jun 2, 2020	Deep LearningTime Series	—Unverified
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI	Oct 15, 2019	ClassificationGeneral Classification	—Unverified
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks	Mar 24, 2017	Point ProcessesTime Series	—Unverified
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values	Nov 22, 2019	Missing ValuesMultivariate Time Series Forecasting	—Unverified
Joint modeling of multiple time series via the beta process with application to motion capture segmentation	Aug 22, 2013	Time SeriesTime Series Analysis	—Unverified
Joint Multi-Dimensional Model for Global and Time-Series Annotations	May 6, 2020	Time SeriesTime Series Analysis	—Unverified
Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical application	Sep 20, 2015	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