Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…Namun, banyak dari dataset ulasan palsu ini tidak seimbang (imbalanced dataset) sehingga dapat mempengaruhi hasil klasifikasi. …”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…Abstract   The text augmentation approach is often utilized for handling imbalanced data of classifying text corpus, such as online health consultation (OHC) texts, i.e., alodokter.com. …”
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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

“…We propose an innovative weakly supervised learning method that leverages minimal annotations, a state-of-the-art self-supervised vision transformer for embedding extraction, and a novel guided attention mechanism that is better suited for heavily imbalanced datasets typical in toxicologic pathology. …”
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Schedule-based analysis of airborne transmission risk in public transportation systems by Jiali Zhou, Haris N. Koutsopoulos

“…Increasing frequency can mitigate risk, but cannot fully compensate for increases in infection rates. Imbalanced passenger distribution on different cars of a train increases the overall system-wide infection probability. …”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

“…The system addresses key challenges such as the imbalanced nature of datasets and the evolving complexity of network attacks. …”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…In this study, the problems are attributed to imbalanced feature distribution of wood defects which are rich in diversity. …”
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Balanced operation strategies of district heating systems based on dynamic hydraulic-thermal modeling by Xiaojie Lin, Ning Zhang, Zheng Luo, Encheng Feng, Wei Zhong

“…The proposed method could contribute to the fine-tuning of heating substations and the reduction of energy waste due to the imbalanced heating supply, which is significant for the operation strategies of district heating systems.…”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…This research is the first to apply Meta-RL to the problem of data imbalance in fraud detection, contributing to a generalizable and efficient framework for imbalanced learning. The findings of this research show that Meta-RL algorithms can be effectively tuned to handle data imbalance without modification to their objective functions and hence, can be considered an appropriate option for health insurance fraud detection solutions.…”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The model may also utilize preprocessing techniques which are Gaussian smoothing for handling imbalanced data, such as oversampling or under sampling, as well as feature extraction methods such as Local Binary Pattern to identify the most relevant input features for the prediction task. …”
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Event-related theta synchronization over sensorimotor areas differs between younger and older adults and is related to bimanual motor control by Andreas Wulff-Abramsson, Ana Zvornik, Keenie Ayla Andersen, Yan Yang, Mikael Novén, Jesper Lundbye-Jensen, Leo Tomasevic, Anke Ninija Karabanov

“…Together, the results show that theta ERS over sensorimotor areas is a strong, age-sensitive marker of dynamic pinch force adjustments showing an age-related reduction in specificity with reduced context-dependent modulations and more imbalanced bimanual activation.…”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…The incorporation of Focal Tversky Loss further enhances the model's ability to handle imbalanced datasets, improving detection accuracy for rare and severe disease categories. …”
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…Prior to model building, the SMOTE method was applied to address the issue of imbalanced data. The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. …”
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Prediksi Tipe Kepribadian MBTI Artis K-Pop Berdasarkan Caption Instagram Menggunakan Word2Vec dan Long-Short Term Memory (LSTM) by Alfian Hakim, Satrio Hadi Wijoyo, Nanang Yudi Setiawan

“…The distribution of personality types shows that the target is not balanced, so it is necessary to handle imbalanced data, namely shifting the threshold after modeling. …”
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Strategi Penanganan Imbalance Class Pada Model Klasifikasi Penerima Kartu Indonesia Pintar Kuliah Berbasis Neural Network Menggunakan Kombinasi SMOTE dan ENN by Zaqiatud Darojah, Ronny Susetyoko, Nana Ramadijanti

“…This study aims to build the classification model for KIP Kuliah recipients using Neural Network (NN) which can be utilized by universities in selecting prospective KIP Kuliah recipients students. To solve the imbalanced KIP Kuliah recipients data, we propose a hybrid sampling technique that combines the Synthetic Minority Over-Sampling Technique (SMOTE) and the Edited Nearest Neighbor (ENN) and also samples selected deletion method with a new scheme. …”
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Balanced displacement methods and effect evaluation of heterogeneous combination flooding in different reservoirs by Dejun WU, Jian HOU, Lijie LIU, Kang ZHOU, Zhibin AN

“…The remaining oil, extracted remaining oil, oil displacement efficiency, sweep coefficient, planar water saturation variation coefficient, and vertical water absorption imbalanced coefficient are used to evaluate the balanced displacement effects of heterogeneous combination flooding. …”
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