Results 271 to 280 of about 18,911 (296)

Automatic Determination of Neighborhood Size in SMOTE

Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016
In order to handle the class imbalance problem, synthetic data generation methods such as SMOTE, ADASYN, and Borderline-SMOTE have been developed. These methods use a common parameter k, the number of nearest neighbors. Nonetheless the most effective k value depends on the given dataset, there is no guideline to determine k.
Jaesub Yun, Jihyun Ha, Jong-Seok Lee
openaire   +1 more source

PF-SMOTE: A novel parameter-free SMOTE for imbalanced datasets

Neurocomputing, 2022
Qiong Chen, Zhong-Liang Zhang 0001, Wenpo Huang, Jian Wu, Xing-Gang Luo   +4 more
openaire   +1 more source

Weighted-SMOTE: A modification to SMOTE for event classification in sodium cooled fast reactors

Progress in Nuclear Energy, 2017
Abstract Traditionally, the plight of imbalanced dataset and its classification quandary has been counteracted mostly using under-sampling, over-sampling or ensemble sampling methods. Among these algorithms, Synthetic Minority Over-sampling Technique (SMOTE) which belongs to oversampling method has had lot of admiration and extensive range of ...
Manas Ranjan Prusty, T. Jayanthi, K. Velusamy   +2 more
openaire   +1 more source

XGBoost for Educational Performance: Comparing SMOTE and SMOTE-TOMEK on Imbalanced Data

Proceeding International Collaborative Conference on Multidisciplinary Science
Class imbalance poses a critical challenge in educational performance prediction, particularly in accurately identifying at-risk students within small datasets. This study rigorously evaluates three data balancing strategies—baseline imbalanced processing, SMOTE (Synthetic Minority Over-sampling Technique), and SMOTE-TOMEK—integrated with the XGBoost ...
null Ucta Pradema Sanjaya, null Purwosiwi Pandansari, null Ade Pratama, null Rina Purwanti, null Noor Laila Ramadhani, null Ari Eko Budiyanto, null Kristanti Kristanti, null Iwan Setiawan Wibisono, null Kustiyono Kustiyono, null Agung Wibowo, null Sri Mujiyono   +10 more
openaire   +1 more source

SMOTE vs. ADASYN

Significant technical progress has led to an expansion in human requirements. As a result, the banking sector has seen a rise in the quantity of loan approval requests. When choosing a candidate for loan approval, a number of factors are taken into account to determine the loan's status.
Sabyasachi Pramanik, Soma Bag, Atanu Roy, Ramkrishna Ghosh, Pranati Rakshit   +4 more
openaire   +1 more source

SMOTE-RkNN: A hybrid re-sampling method based on SMOTE and reverse k-nearest neighbors

Information Sciences, 2022
Hualong Yu, Xibei Yang, Shang Zheng
exaly  

RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise

Information Sciences, 2021
Baiyun Chen, Shuyin Xia, Zizhong Chen
exaly  

Instance weighted SMOTE by indirectly exploring the data distribution

Knowledge-Based Systems, 2022
Aimin Zhang, Hualong Yu
exaly  

FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

Pattern Recognition, 2022
Sebastian Maldonado, Carla Vairetti, Alberto Fernández   +2 more
exaly  

Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction

Information and Software Technology, 2021
Shuo Feng, Jacky Keung, Yan Xiao
exaly