Taek M. Kwon

University of Minnesota - Twin Cities - Electrical and Computer Engineering

Professor

Duluth, MN 55812

United States

SCHOLARLY PAPERS

4

DOWNLOADS

518

SSRN CITATIONS

3

CROSSREF CITATIONS

9

Scholarly Papers (4)

1.

The Efficacy of Red Flags in Predicting the SEC's Targets: An Artificial Neural Networks Approach

International Journal of Intelligent Systems in Accounting, Finance, and Management, Vol. 9, No.3, pp.145-157, September 2000
Number of pages: 13 Posted: 29 Jul 2008 Last Revised: 11 Dec 2018
University of Washington Tacoma, Milgard School of Business-Accounting, University of Minnesota - Twin Cities - Electrical and Computer Engineering, State University of New York at Buffalo (deceased) and Ajou University - Department of Business Administration
Downloads 210 (202,054)
Citation 1

Abstract:

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SEC, Financial reporting, Fraud, Red Flags, Regulations, Earnings management, ANN, SAS, Sarbanes-Oxley Act of 2002, Political Economy

2.

Self-Organizing Fuzzy and MLP Approaches to Detecting Fraudulent Financial Reporting

SOFT COMPUTING IN FINANCIAL ENGINEERING, R.A. Riberio, H.J. Zimmerman, R.R. Yager, & J. Kacpryzk, eds., New York, 1999
Number of pages: 6 Posted: 12 Aug 2008 Last Revised: 20 Feb 2018
Ehsan H. Feroz and Taek M. Kwon
University of Washington Tacoma, Milgard School of Business-Accounting and University of Minnesota - Twin Cities - Electrical and Computer Engineering
Downloads 185 (226,340)

Abstract:

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Fraudulent financial reporting, SEC, GAAP, SAS, Red flags, Sarbanes Oxley Act of 2002, Neural Networks, Fuzzy controller, Financial engineering, Soft Computing, Political Economy

3.

A Multilayered Perceptron Approach to the Prediction of the SEC's Investigation Targets

Number of pages: 11 Posted: 28 Jul 2008 Last Revised: 04 Jan 2019
Taek M. Kwon and Ehsan H. Feroz
University of Minnesota - Twin Cities - Electrical and Computer Engineering and University of Washington Tacoma, Milgard School of Business-Accounting
Downloads 66 (460,399)
Citation 1

Abstract:

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SEC, Financial Reporting Fraud, Red Flags, Sarbanes Oxley Act of 2002, Financial Engineering, Neural Networks, Political Economy

4.

Preprocessing of Training Set for Back Propagation Algorithm: Histogram Equalization

1994 IEEE International Conference on Neural Networks, IEEE World Congress on Computational Intelligence, Vol. 1, pp. 425-43, Orlando, FL, USA, June 27-June29, 1994
Number of pages: 8 Posted: 10 May 2009 Last Revised: 15 Jun 2009
Taek M. Kwon, Ehsan H. Feroz and Hui Pei Cheng
University of Minnesota - Twin Cities - Electrical and Computer Engineering, University of Washington Tacoma, Milgard School of Business-Accounting and affiliation not provided to SSRN
Downloads 57 (494,387)

Abstract:

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Backpropagation, S&L, Banks, Failure Classification