Jozef Zurada
Jozef Zurada
Professor, Department of Computer Information Systems, College of Business, University of Louisville
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A comparison of regression and artificial intelligence methods in a mass appraisal context
J Zurada, A Levitan, J Guan
Journal of Real Estate Research 33 (3), 349-388, 2011
The lean manufacturing enterprise: An emerging sociotechnological system integration
O Paez, J Dewees, A Genaidy, S Tuncel, W Karwowski, J Zurada
Human Factors and Ergonomics in Manufacturing & Service Industries 14 (3 …, 2004
A neural network-based system for classification of industrial jobs with respect to risk of low back disorders due to workplace design
J Zurada, W Karwowski, WS Marras
Applied Ergonomics 28 (1), 49-58, 1997
An adaptive neuro-fuzzy inference system based approach to real estate property assessment
J Guan, J Zurada, A Levitan
Journal of Real Estate Research 30 (4), 395-422, 2008
A neuro-fuzzy approach for robot system safety
J Zurada, AL Wright, JH Graham
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2001
Comparison of the performance of several data mining methods for bad debt recovery in the healthcare industry
J Zurada, S Lonial
Journal of Applied Business Research (JABR) 21 (2), 2005
Neural networks versus logit regression model for predicting financial distress response variables
JM Zurada, BP Foster, TJ Ward, RM Barker
Journal of Applied Business Research (JABR) 15 (1), 21-30, 1999
Classifying the risk of work related low back disorders due to manual material handling tasks
J Zurada
Expert Systems with Applications 39 (12), 11125-11134, 2012
Next generation of data-mining applications
M Kantardzic, J Zurada
Wiley-IEEE Press, 2005
Analyzing massive data sets: an adaptive fuzzy neural approach for prediction, with a real estate illustration
J Guan, D Shi, JM Zurada, AS Levitan
Journal of organizational computing and electronic commerce 24 (1), 94-112, 2014
Non-conventional approaches to property value assessment
JM Zurada, AS Levitan, J Guan
Journal of Applied Business Research (JABR) 22 (3), 2006
Could decision trees improve the classification accuracy and interpretability of loan granting decisions?
J Zurada
2010 43rd Hawaii International Conference on System Sciences, 1-9, 2010
A data-mining approach to identification of risk factors in safety management systems
D Shi, J Guan, J Zurada, A Manikas
Journal of management information systems 34 (4), 1054-1081, 2017
Classification of jobs with risk of low back disorders by applying data mining techniques
J Zurada, W Karwowski, W Marras
Occupational Ergonomics 4 (4), 291-305, 2004
Knowledge discovery for business information systems
F Provost
Springer Science & Business Media, 2001
Experience-consistent modeling for radial basis function neural networks
W Pedrycz, P Rai, J Zurada
International Journal of Neural Systems 18 (04), 279-292, 2008
Loan defaults and hazard models for bankruptcy prediction
BP Foster, J Zurada
Managerial Auditing Journal, 2013
Comparisons of the performance of computational intelligence methods for loan granting decisions
J Zurada, KN Kunene
2011 44th Hawaii International Conference on System Sciences, 1-10, 2011
Applications of fuzzy‐based linguistic patterns for the assessment of computer screen design quality
J Grobelny, W Karwowski, J Zurada
International Journal of Human‐Computer Interaction 7 (3), 193-212, 1995
How secure are good loans: Validating loan-granting decisions and predicting default rates on consumer loans
J Zurada, M Zurada
Review of Business Information Systems (RBIS) 6 (3), 65-84, 2002
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