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Learning from imbalanced data
Learning from imbalanced data

Cost-sensitive learning strategies for high-dimensional and imbalanced data:  a comparative study [PeerJ]
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study [PeerJ]

Classification of imbalanced cloud image data using deep neural networks:  performance improvement through a data science competition | Progress in  Earth and Planetary Science | Full Text
Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition | Progress in Earth and Planetary Science | Full Text

Learning from imbalanced data
Learning from imbalanced data

PDF] Learning from Imbalanced Data | Semantic Scholar
PDF] Learning from Imbalanced Data | Semantic Scholar

PDF) Ensemble Learning For Imbalanced Data Classification Problem
PDF) Ensemble Learning For Imbalanced Data Classification Problem

Frontiers | Comparison of Resampling Techniques for Imbalanced Datasets in  Machine Learning: Application to Epileptogenic Zone Localization From  Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy
Frontiers | Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy

A Novel Ensemble Method for Imbalanced Data Learning: Bagging of  Extrapolation-SMOTE SVM
A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM

PDF) Comparing SVM ensembles for imbalanced datasets | vasudha bhatnagar -  Academia.edu
PDF) Comparing SVM ensembles for imbalanced datasets | vasudha bhatnagar - Academia.edu

Applied Sciences | Free Full-Text | Boosting Minority Class Prediction on  Imbalanced Point Cloud Data
Applied Sciences | Free Full-Text | Boosting Minority Class Prediction on Imbalanced Point Cloud Data

Imbalanced Learning: Foundations, Algorithms, and Applications: Ma,  Yunqian, He, Haibo: 9781118074626: Amazon.com: Books
Imbalanced Learning: Foundations, Algorithms, and Applications: Ma, Yunqian, He, Haibo: 9781118074626: Amazon.com: Books

Learning from imbalanced data
Learning from imbalanced data

PDF) Learning from imbalanced data sets with boosting and data generation:  The DataBoost-IM approach
PDF) Learning from imbalanced data sets with boosting and data generation: The DataBoost-IM approach

Imbalanced data preprocessing techniques for machine learning: a systematic  mapping study | SpringerLink
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study | SpringerLink

Ensemble Learning Approaches to Data Imbalance and Competing Objectives in  Design of an Industrial Machine Vision System | Industrial & Engineering  Chemistry Research
Ensemble Learning Approaches to Data Imbalance and Competing Objectives in Design of an Industrial Machine Vision System | Industrial & Engineering Chemistry Research

Information | Free Full-Text | Learning from High-Dimensional and Class-Imbalanced  Datasets Using Random Forests
Information | Free Full-Text | Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests

PDF) Training deep neural networks on imbalanced data sets
PDF) Training deep neural networks on imbalanced data sets

KEEL: A software tool to assess evolutionary algorithms for Data Mining  problems (regression, classification, clustering, pattern mining and so on)
KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using  Fuzzy and Rough Set Methods | SpringerLink
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods | SpringerLink

IMBALANCED DATASET CLASSIFICATION AND SOLUTIONS : A REVIEW | Semantic  Scholar
IMBALANCED DATASET CLASSIFICATION AND SOLUTIONS : A REVIEW | Semantic Scholar

Research on expansion and classification of imbalanced data based on SMOTE  algorithm | Scientific Reports
Research on expansion and classification of imbalanced data based on SMOTE algorithm | Scientific Reports

GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in  Machine Learning | Journal of Chemical Information and Modeling
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling

Learning from Imbalanced Data Sets | SpringerLink
Learning from Imbalanced Data Sets | SpringerLink