Kontrollpolitikens imbalans by Kettil Bruun

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

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

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Research and application of XGBoost in imbalanced data by Ping Zhang, Yiqiao Jia, Youlin Shang

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

“…To address this issue, this study focused on the Changdu area of eastern Tibet and constructed the landslide susceptibility evaluation model using a dataset with imbalanced landslide and non-landslide samples. Three disposal schemes were applied: no treatment, downsampling, and SMOTE oversampling. …”
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Investigation of Imbalanced Activated Carbon Electrode Supercapacitors by Tieshi He, Xue Ren, Junping Nie, Jun Ying, Kedi Cai

“…Imbalanced supercapacitor was constructed by using various ratio of activated carbon (AC) of positive to negative electrode. …”
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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

Subjects: “…Imbalanced Learning…”
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania by Judith Leo, Edith Luhanga, Kisangiri Michael

“…However, the integration of weather variables and use of machine learning techniques have not been explicitly deployed in modeling cholera epidemics in Tanzania due to the challenges that come with its datasets such as imbalanced data and missing information. This paper explores the use of machine learning techniques to model cholera epidemics with linkage to seasonal weather changes while overcoming the data imbalance problem. …”
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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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A Network Traffic Classification Method for Class-Imbalanced Data by Xiaohui Guan, Yaguan Qian

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CKD patients comorbid with hypertension are associated with imbalanced gut microbiome by Pan Wang, Yang Shen, Kaixin Yan, Siyuan Wang, Jie Jiao, Hongjie Chi, Jiuchang Zhong, Qianmei Sun, Ying Dong, Jing Li

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Extreme Heating of Minor Ions in Imbalanced Solar-wind Turbulence by Michael F. Zhang, Matthew W. Kunz, Jonathan Squire, Kristopher G. Klein

“…We use the hybrid-kinetic particle-in-cell code Pegasus++ to drive imbalanced Alfvénic turbulence in a 3D low- β plasma with additional passive ion species, He ^2+ and O ^5+ . …”
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Adaptive Oversampling via Density Estimation for Online Imbalanced Classification by Daeun Lee, Hyunjoong Kim

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A Cost-Sensitive Ensemble Method for Class-Imbalanced Datasets by Yong Zhang, Dapeng Wang

“…In imbalanced learning methods, resampling methods modify an imbalanced dataset to form a balanced dataset. …”
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Predicting Pulsars from Imbalanced Dataset with Hybrid Resampling Approach by Ernesto Lee, Furqan Rustam, Wajdi Aljedaani, Abid Ishaq, Vaibhav Rupapara, Imran Ashraf

“…Experiments are performed with imbalanced and balanced datasets using well-known machine learning algorithms. …”
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Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning by Haiou Qin

Subjects: “…Imbalanced classification…”
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