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 2371–2380 of 6748 papers

Title	Date	Tasks	Status
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing	Oct 13, 2022	regressionTime Series	—Unverified
Entropy-based Discovery of Summary Causal Graphs in Time Series	May 21, 2021	Time SeriesTime Series Analysis	—Unverified
Cause-Effect Preservation and Classification using Neurochaos Learning	Jan 28, 2022	ClassificationTime Series	—Unverified
Epidemic parameters for COVID-19 in several regions of India	May 18, 2020	Time SeriesTime Series Analysis	—Unverified
Epileptic Seizure Detection: A Deep Learning Approach	Mar 27, 2018	Deep LearningEEG	—Unverified
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture	Jul 22, 2020	EEGElectroencephalogram (EEG)	—Unverified
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance	Mar 1, 2024	Time SeriesTime Series Analysis	—Unverified
Equivalence relations and L^p distances between time series with application to the Black Summer Australian bushfires	Feb 7, 2020	ClusteringManagement	—Unverified
Ergodic characterization of non-ergodic anomalous diffusion processes	Feb 19, 2023	Time SeriesTime Series Analysis	—Unverified
Explainable Recommendation: Theory and Applications	Aug 21, 2017	Explainable RecommendationRecommendation Systems	—Unverified

Show:10 25 50

← PrevPage 238 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