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 4151–4160 of 6748 papers

Title	Date	Tasks	Status
Upcycling Human Excrement: The Gut Microbiome to Soil Microbiome Axis	Nov 5, 2024	ManagementTime Series	—Unverified
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling	Nov 7, 2021	Time SeriesTime Series Analysis	—Unverified
User Engagement in Mobile Health Applications	Jun 16, 2022	Survival AnalysisTime Series	—Unverified
U-shaped Transformer: Retain High Frequency Context in Time Series Analysis	Jul 18, 2023	Time SeriesTime Series Analysis	—Unverified
Using an Ancillary Neural Network to Capture Weekends and Holidays in an Adjoint Neural Network Architecture for Intelligent Building Management	Dec 26, 2018	ManagementPrediction	—Unverified
Using Autoencoders To Learn Interesting Features For Detecting Surveillance Aircraft	Sep 27, 2018	Time SeriesTime Series Analysis	—Unverified
Using Bayesian Dynamical Systems for Motion Template Libraries	Dec 1, 2008	Imitation LearningState Space Models	—Unverified
Using Clinical Notes for ICU Management	May 31, 2019	DecompensationManagement	—Unverified
Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation	Apr 21, 2021	ClassificationGeneral Classification	—Unverified
Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems	Jun 1, 2014	Text GenerationTime Series Analysis	—Unverified

Show:10 25 50

← PrevPage 416 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