John Ronald James Thompson

Personal Details

First Name:	John
Middle Name:	Ronald James
Last Name:	Thompson
Suffix:
RePEc Short-ID:	pth292
	[This author has chosen not to make the email address public]
Terminal Degree:	2014 Department of Economics; McMaster University (from RePEc Genealogy)

Affiliation

(12%) University of British Columbia Okanagan, Department of Computer Science, Mathematics, Physics and Statistics

https://cmps.ok.ubc.ca/
Kelowna, Canada

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2020. "Know Your Clients' behaviours: a cluster analysis of financial transactions," Papers 2005.03625, arXiv.org, revised May 2020.
   • John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2021. "Know Your Clients’ Behaviours: A Cluster Analysis of Financial Transactions," JRFM, MDPI, vol. 14(2), pages 1-29, January.

   Cited by:

   1. Cynthia Pagliaro & Dhagash Mehta & Han-Tai Shiao & Shaofei Wang & Luwei Xiong, 2021. "Investor Behavior Modeling by Analyzing Financial Advisor Notes: A Machine Learning Perspective," Papers 2107.05592, arXiv.org.
   2. Emilia Herman & Kinga-Emese Zsido, 2023. "The Financial Sustainability of Retail Food SMEs Based on Financial Equilibrium and Financial Performance," Mathematics, MDPI, vol. 11(15), pages 1-26, August.
   3. John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace & Adam Metzler, 2021. "Measuring Financial Advice: aligning client elicited and revealed risk," Papers 2105.11892, arXiv.org.
   4. Jerinsh Jeyapaulraj & Dhruv Desai & Peter Chu & Dhagash Mehta & Stefano Pasquali & Philip Sommer, 2022. "Supervised similarity learning for corporate bonds using Random Forest proximities," Papers 2207.04368, arXiv.org, revised Oct 2022.

Articles

1. Sarthak Pati & Ujjwal Baid & Brandon Edwards & Micah Sheller & Shih-Han Wang & G. Anthony Reina & Patrick Foley & Alexey Gruzdev & Deepthi Karkada & Christos Davatzikos & Chiharu Sako & Satyam Ghodasa, 2022. "Federated learning enables big data for rare cancer boundary detection," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

   Cited by:

   1. Qi Chang & Zhennan Yan & Mu Zhou & Hui Qu & Xiaoxiao He & Han Zhang & Lohendran Baskaran & Subhi Al’Aref & Hongsheng Li & Shaoting Zhang & Dimitris N. Metaxas, 2023. "Mining multi-center heterogeneous medical data with distributed synthetic learning," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
   2. Shengyu Tao & Haizhou Liu & Chongbo Sun & Haocheng Ji & Guanjun Ji & Zhiyuan Han & Runhua Gao & Jun Ma & Ruifei Ma & Yuou Chen & Shiyi Fu & Yu Wang & Yaojie Sun & Yu Rong & Xuan Zhang & Guangmin Zhou , 2023. "Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

2. John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2021. "Know Your Clients’ Behaviours: A Cluster Analysis of Financial Transactions," JRFM, MDPI, vol. 14(2), pages 1-29, January.
   • John R. J. Thompson & Longlong Feng & R. Mark Reesor & Chuck Grace, 2020. "Know Your Clients' behaviours: a cluster analysis of financial transactions," Papers 2005.03625, arXiv.org, revised May 2020.
   See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-BIG: Big Data (1) 2020-05-25. Author is listed
2. NEP-CMP: Computational Economics (1) 2020-05-25. Author is listed
3. NEP-FMK: Financial Markets (1) 2021-05-31. Author is listed

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