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Assessment and Management of Hurricane Damaged Timberland
Published 2005-05-01“… Every year, southern timberland is damaged by hurricanes, ice storms, or tornados somewhere in the region. …”
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Assessment and Management of Hurricane Damaged Timberland
Published 2005-05-01“… 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
Published 2018-02-01“… 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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Genetically Improved Pines for Reforesting Florida’s Timberlands
Published 2018-02-01“… 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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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets
Published 2025-03-01Subjects: “…Imbalanced Learning…”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization
Published 2024-03-01“…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
Published 2025-01-01Subjects: Get full text
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Algoritma K-Nearest Neighbor pada Kasus Dataset Imbalanced untuk Klasifikasi Kinerja Karyawan Perusahaan
Published 2024-07-01Subjects: “…Imbalanced Dataset…”
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A Novel Ensemble Classifier Selection Method for Software Defect Prediction
Published 2025-01-01Subjects: Get full text
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Optimasi Data Tidak Seimbang pada Interaksi Drug Target dengan Sampling dan Ensemble Support Vector Machine
Published 2020-12-01“…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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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models
Published 2025-01-01“…Challenges for credit card fraud monitoring include highly imbalanced datasets and the need for advanced models to detect fraud patterns. …”
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Mitigation of Harmonics and Unbalanced Voltage Disturbance Compensation by MSVPWM Based- DVR in the Distribution Net
Published 2021-07-01“…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
Published 2023-12-01“…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
Published 2021-05-01“…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
Published 2025-01-01“…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
Published 2023-08-01“…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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