Fault diagnosis of transformer oil-paper bushings in PSO-BPNN algorithm based on ADASYN data balancing [PDF]
电力工程技术The insulation performance of transformer bushings is a crucial aspect that directly affects the safe operation of equipment. To diagnose the insulation status of transformer bushings and mitigate the impact of small-sample imbalanced data on diagnostic ...
YANG Hao +5 more
doaj +2 more sources
Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction. [PDF]
PLoS ONECervical cancer remains a leading cause of female mortality, particularly in developing regions, underscoring the critical need for early detection and intervention guided by skilled medical professionals.
Raafat M Munshi
doaj +3 more sources
Predictive Modeling of Cerebral Strokes: An ADASYN-RF Approach for Imbalanced Data [PDF]
VFAST Transactions on Software EngineeringCerebral stroke is a condition that occurs when blood flow to the brain suddenly stops, and the cells in the brain subsequently die due to lack of oxygen and nutrients. A stroke is associated with risk factors that are mainly linked with lifestyles today, including metabolic syndromes such as high "glucose level, heart diseases, obesity, and diabetes ...
Aish, Muhammad Abdullah
openaire +3 more sources
BILSTM using SMOTE and ADASYN oversampling techniques. [PDF]
, 2023 BILSTM using SMOTE and ADASYN oversampling techniques.
Alaa Alomari (17403786) +2 more
core +1 more source
Classification results of machine learning models using BoW with ADASYN. [PDF]
, 2022 Classification results of machine learning models using BoW with ADASYN.
Furqan Rustam (10196722) +6 more
core +1 more source
ADASYN: Adaptive synthetic sampling approach for imbalanced learning [PDF]
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008 This paper presents a novel adaptive synthetic (ADASYN) sampling approach for learning from imbalanced data sets. The essential idea of ADASYN is to use a weighted distribution for different minority class examples according to their level of difficulty in learning, where more synthetic data is generated for minority class examples that are harder to ...
Haibo He +3 more
openaire +1 more source
Classification results of machine learning models using GloVe with ADASYN. [PDF]
, 2022 Classification results of machine learning models using GloVe with ADASYN.
Furqan Rustam (10196722) +6 more
core +1 more source
Komparasi Metode SMOTE dan ADASYN dalam Meningkatkan Performa Klasifikasi Herregistrasi Mahasiswa Baru [PDF]
, 2022 Universities annually accept new students at the beginning of the new school year. In the acceptance of prospective students on the Seleksi Prestasi Akademik Nasional Perguruan Tinggi Keagamaan Islam Negeri (SPAN PTKIN) di State Islamic University Of ...
Mujib Ridwan +2 more
core +2 more sources
Summary table: Oversampling techniques using SMOTE, ADASYN, and weighted rare classes. [PDF]
, 2023 Summary table: Oversampling techniques using SMOTE, ADASYN, and weighted rare classes.
Alaa Alomari (17403786) +2 more
core +1 more source
Classification results of machine learning models using TF-IDF with ADASYN. [PDF]
, 2022 Classification results of machine learning models using TF-IDF with ADASYN.
Furqan Rustam (10196722) +6 more
core +1 more source