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Explainable deep learning model for predicting money laundering transactions Cover

Explainable deep learning model for predicting money laundering transactions

Open Access
|Jul 2024

Authors

Dattatray Vishnu Kute

Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

Biswajeet Pradhan

Biswajeet.pradhan@uts.edu.au

Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia

Nagesh Shukla

Department of Business Strategy and Innovation, Griffith Business School, Griffith University Brisbane, Australia

Abdullah Alamri

Department of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabia
Language: English
Submitted on: Apr 10, 2024
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Published on: Jul 24, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla, Abdullah Alamri, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.