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 2131–2140 of 6748 papers

Title	Date	Tasks	Status
A machine learning approach for forecasting hierarchical time series	May 31, 2020	BIG-bench Machine LearningTime Series	—Unverified
Efficient Modeling and Forecasting of the Electricity Spot Price	Feb 27, 2014	Time SeriesTime Series Analysis	—Unverified
COHORTNEY: Non-Parametric Clustering of Event Sequences	Apr 3, 2021	BIG-bench Machine LearningClustering	—Unverified
Coherent probabilistic forecasts for hierarchical time series	Aug 1, 2017	Time SeriesTime Series Analysis	—Unverified
A probabilistic graphical model approach in 30 m land cover mapping with multiple data sources	Dec 11, 2016	Time Series Analysis	—Unverified
Coherence-based Label Propagation over Time Series for Accelerated Active Learning	Sep 29, 2021	Active LearningTime Series	—Unverified
Cognitive state classification using transformed fMRI data	Apr 19, 2016	ClassificationGeneral Classification	—Unverified
Alternating direction method of multipliers for penalized zero-variance discriminant analysis	Jan 21, 2014	feature selectionGeneral Classification	—Unverified
Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm	Jul 8, 2020	Time SeriesTime Series Analysis	—Unverified
Efficient multivariate sequence classification	Sep 29, 2014	ClassificationGeneral Classification	—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