Penerapan: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian by Ridwan Ridwan, Eni Heni Hermaliani, Muji Ernawati

Subjects: “…imbalanced data…”
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APPLICATION OF ADASYN OVERSAMPLING TECHNIQUE ON K-NEAREST NEIGHBOR ALGORITHM by Herina Marlisa, Neva Satyahadewi, Nurfitri Imro'ah, Naomi Nessyana Debataraja

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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

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A weighted pattern matching approach for classification of imbalanced data with a fireworks-based algorithm for feature selection by N. K. Sreeja

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Knowledge distillation with resampling for imbalanced data classification: Enhancing predictive performance and explainability stability by Kazuki Fujiwara

Subjects: “…Imbalanced data…”
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Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions by Akiyoshi Sutou, Jinfang Wang

Subjects: “…Imbalanced data…”
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SMOTE-LOF for noise identification in imbalanced data classification by Asniar, Nur Ulfa Maulidevi, Kridanto Surendro

Subjects: “…Imbalanced data…”
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Enhancing credit card fraud detection: highly imbalanced data case by Dalia Breskuvienė, Gintautas Dzemyda

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Double Cost Sensitive Random Forest Algorithm by ZHOU Yan-long, SUN Guang-lu

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Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases by Uung Ungkawa, Muhammad Avilla Rafi

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INTEGRATION OF SVM AND SMOTE-NC FOR CLASSIFICATION OF HEART FAILURE PATIENTS by Dina Tri Utari

Subjects: “…imbalanced data…”
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Imbalanced Data Problem in Machine Learning: A Review by Manahel Altalhan, Abdulmohsen Algarni, Monia Turki-Hadj Alouane

Subjects: “…Imbalanced data…”
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Textual similarity for legal precedents discovery: Assessing the performance of machine learning techniques in an administrative court by Hugo Mentzingen, Nuno António, Fernando Bacao, Marcio Cunha

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DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification by LIU Zhihan, ZHANG Zhonglin, ZHAO Lei

Subjects: “…imbalanced data…”
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Improving Sentiment Analysis Accuracy Using CRNN on Imbalanced Data: a Case Study of Indonesian National Football Coach by Slamet Riyadi, Muhammad Dzaki Mubarok, Cahya Damarjati, Asnor Juraiza Ishak

Subjects: “…sentiment analysis, deep learning, overfitting, oversampling, imbalanced data.…”
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Risk Measurement of TAVR Surgical Complications Based on Unbalanced Multilabel Classification Approaches by Yue Zhang, Yuantao Xie

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Enhancing telemedicine service quality through sentiment analysis of user review dataset in IndonesiaMendeley Data by Edi Sutoyo, Muhammad Cekas Permana

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Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset by Zeinab Asgari, Ali Sadeghi-Sefidmazgi, Abbas Pakdel, Saleh Shahinfar

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Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification by Fhira Nhita, Asniar, Isman Kurniawan, Adiwijaya

Subjects: “…Imbalanced data classification…”
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IMCP: A Python package for imbalanced and multiclass data classifier performance comparison by Jesus S. Aguilar-Ruiz, Marcin Michalak, Łukasz Wróbel

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