| 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 | 213 | 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 | 146 | 2004 |
| 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 | 112 | 2008 |
| 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 | 94 | 1997 |
| 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 | 77 | 2017 |
| 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 | 75 | 2012 |
| 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 | 68 | 2014 |
| Non-conventional approaches to property value assessment JM Zurada, AS Levitan, J Guan Journal of Applied Business Research (JABR) 22 (3), 2006 | 63 | 2006 |
| 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 | 63 | 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 | 61 | 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, 2011 | 56 | 2011 |
| Next generation of data-mining applications M Kantardzic, J Zurada Wiley-IEEE Press, 2005 | 51 | 2005 |
| 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 | 49 | 2010 |
| Loan defaults and hazard models for bankruptcy prediction BP Foster, J Zurada Managerial Auditing Journal 28 (6), 516-541, 2013 | 34 | 2013 |
| Big data in capturing business value CM Olszak, J Zurada Information Systems Management 37 (3), 240-254, 2020 | 30 | 2020 |
| 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 | 29 | 2004 |
| Text guide: improving the quality of long text classification by a text selection method based on feature importance K Fiok, W Karwowski, E Gutierrez-Franco, MR Davahli, M Wilamowski, ... IEEE Access 9, 105439-105450, 2021 | 28 | 2021 |
| Knowledge discovery through experiential learning from business and other contemporary data sources: A review and reappraisal J Zurada, W Karwowski Information Systems Management 28 (3), 258-274, 2011 | 27 | 2011 |
| 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 | 27 | 2002 |
| 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 | 26 | 2011 |