Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Learning Fair Classifiers
Fairness-aware Classifier with Prejudice Remover Regularizer
Mitigating Unwanted Biases with Adversarial Learning
Active learning for class imbalance problem
Fairness GAN
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios
Improved Sampling Techniques for Learning an Imbalanced Data Set
Calibrated Fairness in Bandits
The computational rise and fall of fairness
Algorithmic decision making and the cost of fairness
The class imbalance problem: A systematic study
On Fairness and Calibration
Experimental perspectives on learning from imbalanced data
Learning from Imbalanced Data
On Fairness, Diversity and Randomness in Algorithmic Decision Making
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data
Properties and Benefits of Calibrated Classifiers
Toward Scalable Learning with Non-uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
Probably Approximately Metric-Fair Learning
The Foundations of Cost-Sensitive Learning
50 Years of Test (Un)fairness: Lessons for Machine Learning
Fairness-aware Learning through Regularization Approach
A hybrid bug triage algorithm for developer recommendation
Improving performance and lifetime of NAND storage systems using relaxed program sequence
FMCW radar for life-sign detection
Data analysis and visualization of sales data