Managing Cattle on Timberlands: Forage Management by Chris Demers, Rob Clausen

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Assessment and Management of Hurricane Damaged Timberland by Alan Long, Jarek Nowak, Chris Demers, Rick Williams, Nicole Strong, Jib Davidson, John Holzaepfel

“… Every year, southern timberland is damaged by hurricanes, ice storms, or tornados somewhere in the region. …”
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Genetically Improved Pines for Reforesting Florida’s Timberlands by Timothy L. White, Mary L. Duryea, Gregory L Powell

“… Just as farmers plant the best-available varieties of crops that have been developed through many generations of breeding, forest landowners should plant the best-available genetically improved varieties of pines for reforestation of their timberlands. This 8-page fact sheet written by Timothy L. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…In this paper, we introduce a novel imbalanced learning approach named Imbalanced Maximizing-Area Under the Curve (AUC) Proximal Support Vector Machine (ImAUC-PSVM), which harnesses the foundational principles of traditional PSVM for the detection of CVDs. …”
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Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets by Hsin-Chang Tsai, Ming-Chun Lee, Chao-Hao Hsu

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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

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Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data by Mihkel Kotli, Geven Piir, Uko Maran

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Algoritma K-Nearest Neighbor pada Kasus Dataset Imbalanced untuk Klasifikasi Kinerja Karyawan Perusahaan by Fitri Nuraeni, Dede Kurniadi, Moch Haiqal Diazki

Subjects: “…Imbalanced Dataset…”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction by Xin Dong, Jie Wang, Yan Liang

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Optimasi Data Tidak Seimbang pada Interaksi Drug Target dengan Sampling dan Ensemble Support Vector Machine by Nabila Sekar Ramadhanti, Wisnu Ananta Kusuma, Annisa Annisa

“…This unknown interaction led drug target interaction to become imbalanced data. A really imbalanced data may cause bias to prediction result. …”
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Mitigation of Harmonics and Unbalanced Voltage Disturbance Compensation by MSVPWM Based- DVR in the Distribution Net by Haider Muhamad Husen

“…Voltage dip, voltage rise, imbalanced voltage, line notching and distortion of harmonics are problems of power quality frequently take place. …”
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Penerapan Text Augmentation untuk Mengatasi Data yang Tidak Seimbang pada Klasifikasi Teks Berbahasa Indonesia by Iftitah Athiyyah Rahma, Lya Hulliyyatus Suadaa

“…Imbalanced data affects the performance and accuracy of the model because the model only focuses on the majority label data. …”
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Exploratory analysis of the position of Chinese cities as international tourism hubs: product destination versus business environment internationalization by Xiang Feng, Ben Derudder, Xiaochuan Zhu, Haixia Zhou

“…Results are interpreted in the context of three dimensions of the internationalization of the Chinese economy: the imbalanced development of the space-economy; the uneven impact of policy plans and mechanisms; and the imprint of spatio-political hierarchies. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…Yet the difficulty remains since the raw data contains noise including missing values, outliers, and an imbalanced number of samples. These properties in a dataset make it challenging to implement any diagnosis model. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Dengan menggunakan dataset Penn-Fudan Database for Pedestrian yang mengandung imbalanced class. Penggunaan teknik sintetis oversampling dapat memperbaikki tingkat akurasi pada class minoritas. …”
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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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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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