Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification by Ahmad Ubai Dullah, Aditya Yoga Darmawan, Dwika Ananda Agustina Pertiwi, Jumanto Unjung

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Improving Model Performance for Predicting Exfiltration Attacks Through Resampling Strategies by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Esti Rahmawati Agustina

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Penyeimbangan Kelas SMOTE dan Seleksi Fitur Ensemble Filter pada Support Vector Machine untuk Klasifikasi Penyakit Liver by Muhammad Amir Nugraha, Muhammad Itqan Mazdadi, Andi Farmadi, Muliadi, Triando Hamonangan Saragih

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Research on medical small sample data classification based on SMOTE and gcForest by Wenchang LIU, Yun WEI, Haoxuan YUAN, Yue GAO

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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

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Handling imbalanced samples in landslide susceptibility evaluation by You TIAN, Bo GAO, Hong YIN, Yuanling LI, Jiajia ZHANG, Long CHEN, Hongliang LI

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Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator by Dengke Li, Baoyuan Chang, Qunlian Huang

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Application of SMOTE in Sentiment Analysis of MyXL User Reviews on Google Play Store by Badriyah, Totok Chamidy, Suhartono

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Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees by Daisy Salifu, Lorna Chepkemoi, Eric Ali Ibrahim, Kiatoko Nkoba, Henri E.Z. Tonnang

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MKC-SMOTE: A Novel Synthetic Oversampling Method for Multi-Class Imbalanced Data Classification by Jiao Wang, Norhashidah Awang

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Editorial: Exploring the future of neurology: how AI is revolutionizing diagnoses, treatments, and beyond by Rafeed Alkawadri, James M. Hillis, Eishi Asano

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Predicting Depression: a comparative study of machine learning approaches based on language usage. by Luciana Mariñelarena-Dondena, Edgardo Ferretti, Manolis Maragoudakis, Maximiliano Sapino, Marcelo Luis Errecalde

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Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

Subjects: “…credit scoring, smote, oversampling, undersampling, class imbalance, machine learning algorithms…”
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Computational antidiabetic assessment of Salvia splendens L. polyphenols: SMOTE, ADME, ProTox, docking, and molecular dynamic studies by Hatun A. Alomar, Wafaa M. El Kady, Asmaa A. Mandour, Amany A. Naim, Neveen I. Ghali, Taghreed A. Ibrahim, Noha Fathallah

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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

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A Novel Synthetic Minority Oversampling Technique for Multiclass Imbalance Problems by Jiao Wang, Norhashidah Awang

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An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing by Indu Chhillar, Ajmer Singh

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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

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