Automating Transfer Learning in Credit Risk

Project Member(s): Beydoun, G., Pradhan, B.

Funding or Partner Organisation: Rich Data Corporation (Australia) Pty Ltd (Rich Data)
Rich Data Corporation (Australia) Pty Ltd (Rich Data)

Start year: 2019

Publications:

Jena, R, Naik, SP, Pradhan, B, Beydoun, G, Park, H-J & Alamri, A 2021, 'Earthquake vulnerability assessment for the Indian subcontinent using the Long Short-Term Memory model (LSTM)', International Journal of Disaster Risk Reduction, vol. 66, pp. 102642-102642.
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Motevalli, A, Naghibi, SA, Hashemi, H, Berndtsson, R, Pradhan, B & Gholami, V 2019, 'Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater', Journal of Cleaner Production, vol. 228, pp. 1248-1263.
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Suryanto, H, Guan, C, Voumard, A & Beydoun, G 1970, 'Transfer Learning in Credit Risk.', ECML/PKDD (3), Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, Germany, pp. 483-498.
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FOR Codes: Expert Systems, Information and Communication Services, Knowledge representation and reasoning

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.