Poverty Classification Using Machine Learning: The Case of Jordan

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

(2020) Christopher Yeh et al.   Nature Communications

Identifying Vulnerable Households Using Machine Learning

(2020) Chen Gao et al.   Sustainability

Encoding High-Cardinality String Categorical Variables

(2020) Patricio Cerda et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Systematic Review on Imbalanced Data Challenges in Machine Learning

(2019) Harsurinder Kaur et al.   ACM COMPUTING SURVEYS

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Combining satellite imagery and machine learning to predict poverty

(2016) N. Jean et al.   SCIENCE

Oversampling to Overcome Overfitting: Exploring the Relationship between Data Set Composition, Molecular Descriptors, and Predictive Modeling Methods

(2013) Chia-Yun Chang et al.   Journal of Chemical Information and Modeling

Multi-class AdaBoost

(2013) Trevor Hastie et al.   Statistics and Its Interface

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Dual coordinate descent methods for logistic regression and maximum entropy models

(2010) Hsiang-Fu Yu et al.   MACHINE LEARNING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING