Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Cost-sensitive classifiers in credit rating: A comparative study on P2P lending
MetaCost: a general method for making classifiers cost-sensitive
Small business credit scoring: a comparison of logistic regression, neural network, and decision tree models
Prediction of consumer credit risk
Credit scoring in banks and financial institutions via data mining techniques: A literature review
Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the Literature
Classifier Comparisons On Credit Approval Prediction
A neural network classification of credit applicants in consumer credit scoring
A state of the art survey of data mining-based fraud detection and credit scoring
Modelling credit risk in portfolios of consumer loans: transition matrix model for consumer credit ratings
Support vector machines for credit scoring and discovery of significant features
Cost-Sensitive Learning and the Class Imbalance Problem
Beyond Hazard Rates: a New Framework for Credit-risk Modelling
Bank Customer Credit Scoring by Using Fuzzy Expert System
the economic value of reject inference in credit scoring † .
An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data
a comparative analysis of current credit risk models q .
screening in new credit markets : can individual lenders infer borrower creditworthiness in peer - to - peer lending ? .
AN ANALYSIS FOR CREDIT RATING AND MOMENTUM STRATEGY
Machine Learning on imbalanced data in Credit Risk
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
Privacy-preserving multi-keyword fuzzy search over encrypted data in the cloud
out - of - bag estimation .
Schedulability and end-to-end latency in distributed ECU networks: formal modeling and precise estimation
Opportunities and challenges for a sustainable energy future
Task Scheduling for Highly Concurrent Analytical and Transactional Main-Memory Workloads