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Deep learning adoption in the financial services industry has been limited due to a lack of model interpretability.
A neural network approach for credit risk evaluation
Eliana Angelini, Giacomo di Tollo, and Andrea Roli · 2008
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Mixtures of weighted distance-based models for ranking data with applications in political studies
Paul H Lee and LH Philip · 2012
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Adverse action notice requirements under the ecoa and the fcra - consumer compliance outlook
Sarah Ammermann · 2013
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Mutual information between discrete and continuous data sets
Brian C. Ross · 2014
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Application of artificial intelligence (artificial neural network) to assess credit risk: A predictive model for credit card scoring, 04 2015
Samsul Islam, Lin Zhou, and Fei Li · 2015
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Why should i trust you?: Explaining the predictions of any classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
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Credit scoring: Case study in data analytics
Nikos Skantzos · 2016
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Towards a rigorous science of interpretable machine learning
Finale Doshi-Velez and Been Kim · 2017
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Distilling a neural network into a soft decision tree
Nicholas Frosst and Geoffrey Hinton · 2017
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The (un) reliability of saliency methods
Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T Schütt, Sven Dähne, Dumitru Erhan, and Been Kim · 2017
Cited alongside, same era.
A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee · 2017
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Axiomatic attribution for deep networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan · 2017
Later among the works it cites.
Local explanation methods for deep neural networks lack sensitivity to parameter values
Julius Adebayo, Justin Gilmer, Ian Goodfellow, and Been Kim · 2018
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Sanity checks for saliency maps
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, and Been Kim · 2018
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Towards better understanding of gradient-based attribution methods for deep neural networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli, and Markus Gross · 2018
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Explainable machine learning challenge
FICO · 2018
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Avanti Shrikumar, Peyton Greenside, and Anshul Kundaje · 2017
Cited alongside, same era.
Techniques for customer behaviour prediction: A case study for credit risk assessment
Laura Badea Stroie
Cited in the paper.
Menaka Narayanan, Emily Chen, Jeffrey He, Been Kim, Sam Gershman, and Finale Doshi-Velez · 2018
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