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Keyword

ADASYN

Description: An adaptive synthetic oversampling algorithm that generates minority-class examples near difficult-to-classify observations to address class imbalance in machine learning.
OpenAlex ID: keywords/adasyn
ADASYN: Adaptive synthetic sampling approach for imbalanced learning
2008 · Haibo He, Yang Bai, et al. · IEEE International Joint Conference on Neural Networks (IJCNN) · 4,927
Diabetes prediction using machine learning and explainable AI techniques
2022 · Isfafuzzaman Tasin, Tansin Ullah Nabil, et al. · Healthcare Technology Letters · 347
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A comprehensive data level analysis for cancer diagnosis on imbalanced data
2019 · Sara Fotouhi, Shahrokh Asadi, et al. · Journal of Biomedical Informatics · 343
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Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study
2016 · Adnan Amin, Sajid Anwar, et al. · IEEE Access · 310
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Resampling imbalanced data for network intrusion detection datasets
2021 · Sikha Bagui, Kunqi Li · Journal Of Big Data · 287
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Handling class imbalance problem using oversampling techniques: A review
2017 · Anjana Gosain, Saanchi Sardana · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · 269
Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels
2025 · Mehdi Imani, Ali Beikmohammadi, et al. · Technologies · 257
Crash data augmentation using variational autoencoder
2020 · Zubayer Islam, Mohamed Abdel-Aty, et al. · Accident Analysis & Prevention · 210
Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
2024 · Muhammad Mujahid, EROL Kına, et al. · Journal Of Big Data · 201
Network Intrusion Detection Model Based on CNN and GRU
2022 · Bo Cao, Chenghai Li, et al. · Applied Sciences · 200
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Prediction of Students’ Academic Performance Based on Courses’ Grades Using Deep Neural Networks
2021 · Aya Nabil, Mohammed Seyam, et al. · IEEE Access · 186
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Driving behavior recognition using EEG data from a simulated car-following experiment
2017 · Liu Yang, Rui Ma, et al. · Accident Analysis & Prevention · 179
Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning
2023 · Ahmed Abdelkhalek, Maggie Mashaly · The Journal of Supercomputing · 172
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An explainable machine learning framework for lung cancer hospital length of stay prediction
2022 · Belal Alsinglawi, Osama Alshari, et al. · Scientific Reports · 154
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BiLSTM deep neural network model for imbalanced medical data of IoT systems
2022 · Marcin Woźniak, Michał Wieczorek, et al. · Future Generation Computer Systems · 151
Severely imbalanced Big Data challenges: investigating data sampling approaches
2019 · Tawfiq Hasanin, Taghi M. Khoshgoftaar, et al. · Journal Of Big Data · 141
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KNNOR: An oversampling technique for imbalanced datasets
2021 · Ashhadul Islam, Samir Brahim Belhaouari, et al. · Applied Soft Computing · 138
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Predicting Employee Attrition using Machine Learning
2018 · Sarah S. Alduayj, Kashif Rajpoot · International Conference on Innovations in Information Technology · 138
Data Augmentation Using GANs
2019 · Tanaka, Fabio Henrique Kiyoiti dos Santos, Aranha, Claus · arXiv (Cornell University) · 136
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Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques
2022 · Vinod Kumar, Gotam Singh Lalotra, et al. · Healthcare · 134
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A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning
2020 · Tingting Xu, Giovanni Coco, et al. · Water Research · 134
Sentiment Analysis of Customers’ Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution
2022 · Ruba Obiedat, Raneem Qaddoura, et al. · IEEE Access · 132
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Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
2021 · Hui Tian Tor, Chui Ping Ooi, et al. · Computer Methods and Programs in Biomedicine · 130
Sampling Approaches for Imbalanced Data Classification Problem in Machine Learning
2019 · Shivani Tyagi, Sangeeta Mittal · Lecture notes in electrical engineering · 129
Electricity Theft Detection Using Supervised Learning Techniques on Smart Meter Data
2020 · Zahoor Ali Khan, Muhammad Adil, et al. · Sustainability · 123
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Works count: 1,771
Citation count: 21,530
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