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 1411–1420 of 6748 papers

Title	Date	Tasks	Status	Score
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations	Jan 20, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
A Model of the Fed's View on Inflation	Jun 25, 2020	modelTime Series	CodeCode Available	5
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics	Oct 16, 2024	Irregular Time SeriesTime Series	CodeCode Available	5
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding	Jun 28, 2022	Density EstimationMetric Learning	CodeCode Available	5
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks	Jul 6, 2020	Graph Neural NetworkTime Series	CodeCode Available	5
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs	Feb 25, 2022	SchedulingTime Series	CodeCode Available	5
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence	Nov 11, 2022	feature selectionFunctional Connectivity	CodeCode Available	5
Evolving-Graph Gaussian Processes	Jun 29, 2021	Gaussian Processesregression	CodeCode Available	5
Exoplanet Detection using Machine Learning	Nov 28, 2020	BIG-bench Machine LearningTime Series Analysis	CodeCode Available	5
Applicability and interpretation of the deterministic weighted cepstral distance	Mar 8, 2018	BIG-bench Machine LearningClustering	CodeCode Available	5

Show:10 25 50

← PrevPage 142 of 675Next →

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