Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach

By Ajay Byanjankar, Markku Heikkilä, József Mezei. 2015

140 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Management Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Silvia Chiappa

In Artificial Intelligence

1. Silvia Chiappa
2. Luca Oneto

In Management Information Systems

1. Silvia Chiappa

Citations in the corpus

• A Causal Bayesian Networks Viewpoint on Fairness (2018, neutral): “Machine learning is increasingly used in a wide range of decision-making scenarios that have serious implications for individuals and society, including financial lending [10,36], hiring [8,28], online advertising [27,41], pretrial and immigration detention [5,43], child maltreatment screening [14,4”
• Fairness in Machine Learning (2020, background): “…used in a wide range of decision-making scenarios that have serious implications for individuals and society, including financial lending [20, 120], hiring [17, 77], online advertising [72, 150], pretrial and immigration detention [10, 158], child maltreatment screening [30, 171], health…”