ResearchTrend.AI
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies

An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies

L. D. Pham
Dat Ngo
T. Hoang
Alexander Schindler
Ian Mcloughlin
ArXivPDFHTML

Papers citing "An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies"

4 / 4 papers shown
Title
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
Dat Ngo
L. D. Pham
Huy P Phan
Minh Tran
D. Jarchi
Ş. Kolozali
32
3
0
07 Mar 2023
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
Michele Cozzatti
Federico Simonetta
Stavros Ntalampiras
DRL
16
4
0
05 Aug 2022
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Dat Ngo
L. D. Pham
Hoang Van Truong
Ş. Kolozali
D. Jarchi
46
4
0
10 Feb 2022
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo
L. D. Pham
A. Nguyen
Ben Phan
Khoa Tran
Truong Thao Nguyen
32
22
0
26 Dec 2020