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Jozef M. Zurada
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- affiliation: University of Louisville, College of Business, KY, USA
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2020 – today
- 2024
- [j19]Donghui Shi
, Zhigang Li, Jozef M. Zurada, Andrew S. Manikas, Jian Guan, Pawel Weichbroth:
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents. Knowl. Inf. Syst. 66(4): 2651-2681 (2024) - [c28]Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu, Pawel Weichbroth:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era. HICSS 2024: 277 - [c27]Pawel Weichbroth, Jozef M. Zurada, Celina M. Olszak:
Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence. HICSS 2024: 278-287 - [c26]Donghui Shi, Shuling Gan, Jozef M. Zurada, Feilong Wang, Yuanyuan Wang, Jian Guan:
Research on the causes of earthwork foundation pit collapse based on Fault tree and Bayesian network. HICSS 2024: 1070-1079 - 2023
- [c25]Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu:
Introduction to the Minitrack on Business Intelligence for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era. HICSS 2023: 257-258 - [c24]Donghui Shi, Hui Zhang, Jian Guan, Jozef M. Zurada, Zejun Chen, Xiyang Li:
Deep Learning in Predicting Real Estate Property Prices: A Comparative Study. HICSS 2023: 970-979 - [c23]Maciej Tkacz, Jozef M. Zurada, Pawel Weichbroth:
Exploring Stock Traders' Cognitive Biases: Research Design and Simulator Framework. KES 2023: 3286-3293 - 2022
- [j18]Celina M. Olszak, Jozef M. Zurada, Dilek Cetindamar
Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations: Special Issue (SI) Editors: Celina M. Olszak, Jozef Zurada, Dilek Cetindamar. Inf. Syst. Manag. 39(1): 2 (2022) - [j17]Donghui Shi
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance. WIREs Data Mining Knowl. Discov. 12(2) (2022) - [c22]Celina M. Olszak, Dilek Kozanoglu, Jozef M. Zurada:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS 2022: 1-2 - [c21]Donghui Shi, Shuai Cao, Jozef M. Zurada, Jian Guan:
An Innovative Approach to Modeling Aviation Safety Incidents. HICSS 2022: 1-10 - 2021
- [j16]Krzysztof Fiok
Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance. IEEE Access 9: 105439-105450 (2021) - [j15]Celina M. Olszak, Jozef M. Zurada, Dilek Cetindamar
Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations. Inf. Syst. Manag. 38(4): 268-269 (2021) - [c20]Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS 2021: 1-2 - [i1]Krzysztof Fiok, Waldemar Karwowski, Edgar Gutiérrez, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Z. Ahram, Awad M. Aljuaid, Jozef M. Zurada:
Text Guide: Improving the quality of long text classification by a text selection method based on feature importance. CoRR abs/2104.07225 (2021) - 2020
- [j14]Celina M. Olszak
From the Special Issue Editors. Inf. Syst. Manag. 37(3): 184-185 (2020) - [j13]Celina M. Olszak
Big Data in Capturing Business Value. Inf. Syst. Manag. 37(3): 240-254 (2020) - [c19]Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS 2020: 1-2 - [c18]Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan:
Improving Prediction Models for Mass Assessment: A Data Stream Approach. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j12]Donghui Shi
Batch and data streaming classification models for detecting adverse events and understanding the influencing factors. Eng. Appl. Artif. Intell. 85: 72-84 (2019) - [c17]Celina M. Olszak, Sandeep Goyal, Jozef M. Zurada:
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. HICSS 2019: 1-2 - [c16]Celina M. Olszak
Big Data-driven Value Creation for Organizations. HICSS 2019: 1-10 - [c15]Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan:
Data Stream Models for Predicting Adverse Events in a War Theater. HICSS 2019: 1-10 - 2017
- [j11]Donghui Shi
A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems. J. Manag. Inf. Syst. 34(4): 1054-1081 (2017) - [c14]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2017: 1 - [c13]Donghui Shi, Jozef M. Zurada, Jian Guan:
Identification of Human Factors in Aviation Incidents Using a Data Stream Approach. HICSS 2017: 1-10 - 2016
- [c12]Mehmed M. Kantardzic
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2016: 1729 - [c11]Donghui Shi, Jozef M. Zurada, Jian Guan:
A Bayesian Network Approach to Classifying Bad Debt in Hospitals. HICSS 2016: 3298-3307 - 2015
- [c10]Donghui Shi, Jozef M. Zurada, Jian Guan:
A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry. HICSS 2015: 3115-3124 - 2014
- [j10]Jian Guan, Donghui Shi, Jozef M. Zurada, Alan S. Levitan:
Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration. J. Organ. Comput. Electron. Commer. 24(1): 94-112 (2014) - [c9]Donghui Shi, Jozef M. Zurada, Jian Guan:
A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare. HICSS 2014: 2888-2897 - 2013
- [j9]Donghui Shi
An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs. Expert Syst. Appl. 40(14): 5490-5500 (2013) - [c8]Jozef M. Zurada, Donghui Shi, Jian Guan:
A Fuzzy Neural Approach to Classifying Low Back Disorders Risks. HICSS 2013: 2382-2388 - 2012
- [j8]Jozef M. Zurada:
Classifying the risk of work related low back disorders due to manual material handling tasks. Expert Syst. Appl. 39(12): 11125-11134 (2012) - [c7]Jozef M. Zurada:
Predicting the Risk of Low Back Disorders due to Manual Handling Tasks. HICSS 2012: 1080-1088 - 2011
- [j7]Jozef M. Zurada, Waldemar Karwowski
Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal. Inf. Syst. Manag. 28(3): 258-274 (2011) - [c6]Jozef M. Zurada, K. Niki Kunene:
Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions. HICSS 2011: 1-10 - 2010
- [c5]Jozef M. Zurada:
Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?. HICSS 2010: 1-9 - [c4]Jozef M. Zurada, K. Niki Kunene:
Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study. ICAISC (1) 2010: 495-502
2000 – 2009
- 2008
- [j6]Witold Pedrycz, Partab Rai, Jozef M. Zurada:
Experience-Consistent Modeling for Radial Basis Function Neural Networks. Int. J. Neural Syst. 18(4): 279-292 (2008) - 2002
- [c3]Jozef M. Zurada:
Data Mining Techniques in Predicting Default Rates on Customer Loans. BalticDB&IS 2002: 177-188 - 2001
- [j5]Jozef M. Zurada, A. L. Wright, James H. Graham:
A neuro-fuzzy approach for robot system safety. IEEE Trans. Syst. Man Cybern. Syst. 31(1): 49-64 (2001) - 2000
- [c2]James S. Kirk, Jozef M. Zurada:
A two-stage algorithm for improved topography preservation in self-organizing maps. SMC 2000: 2527-2532
1990 – 1999
- 1997
- [c1]Ewa Gorska, Jozef M. Zurada:
A Flexible Computer System for Ergonomic Diagnosis. HCI (1) 1997: 679-682 - 1996
- [j4]Jozef M. Zurada, James H. Graham, Waldemar Karwowski
Intelligent Neural Network Based Decision Unit for Robot Safety. J. Intell. Fuzzy Syst. 4(3): 177-191 (1996) - [j3]Akio Ukita, Waldemar Karwowski
Automated tuning of an electronic circuit board using the artificial neural network approach. J. Intell. Manuf. 7(4): 329-339 (1996) - [j2]Yasser M. Kadah
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images. IEEE Trans. Medical Imaging 15(4): 466-478 (1996) - 1995
- [j1]Jerzy Grobelny
Applications of fuzzy-based linguistic patterns for the assessment of computer screen design quality. Int. J. Hum. Comput. Interact. 7(3): 193-212 (1995)
Coauthor Index
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