Applications of fuzzy-based linguistic patterns for the assessment of computer screen design quality. - Jerzy Grobelny; Waldemar Karwowski; Jozef M. Zurada (Int. J. Hum. Comput. Interact., 1995)

Intelligent Neural Network Based Decision Unit for Robot Safety. - Jozef M. Zurada; James H. Graham; Waldemar Karwowski (J. Intell. Fuzzy Syst., 1996)

Automated tuning of an electronic circuit board using the artificial neural network approach. - Akio Ukita; Waldemar Karwowski; Gavriel Salvendy; Wookgee Lee; Jozef M. Zurada (J. Intell. Manuf., 1996)

Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images. - Yasser M. Kadah; Amal A. Farag; Jozef M. Zurada; Ahmed M. Badawi; Abou Bakr M. Youssef (IEEE Trans. Medical Imaging, 1996)

A Flexible Computer System for Ergonomic Diagnosis. - Ewa Gorska; Jozef M. Zurada (HCI (1), 1997)

A two-stage algorithm for improved topography preservation in self-organizing maps. - James S. Kirk; Jozef M. Zurada (SMC, 2000)

A neuro-fuzzy approach for robot system safety. - Jozef M. Zurada; A. L. Wright; James H. Graham (IEEE Trans. Syst. Man Cybern. Syst., 2001)

Data Mining Techniques in Predicting Default Rates on Customer Loans. - Jozef M. Zurada (BalticDB&IS, 2002)

Experience-Consistent Modeling for Radial Basis Function Neural Networks. - Witold Pedrycz; Partab Rai; Jozef M. Zurada (Int. J. Neural Syst., 2008)

Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?. - Jozef M. Zurada (HICSS, 2010)

Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study. - Jozef M. Zurada; K. Niki Kunene (ICAISC (1), 2010)

Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions. - Jozef M. Zurada; K. Niki Kunene (HICSS, 2011)

Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal. - Jozef M. Zurada; Waldemar Karwowski (Inf. Syst. Manag., 2011)

Predicting the Risk of Low Back Disorders due to Manual Handling Tasks. - Jozef M. Zurada (HICSS, 2012)

Classifying the risk of work related low back disorders due to manual material handling tasks. - Jozef M. Zurada (Expert Syst. Appl., 2012)

A Fuzzy Neural Approach to Classifying Low Back Disorders Risks. - Jozef M. Zurada; Donghui Shi; Jian Guan 006 (HICSS, 2013)

An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs. - Donghui Shi; Jozef M. Zurada; Jian Guan 006 (Expert Syst. Appl., 2013)

A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare. - Donghui Shi; Jozef M. Zurada; Jian Guan 006 (HICSS, 2014)

Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration. - Jian Guan 006; Donghui Shi; Jozef M. Zurada; Alan S. Levitan (J. Organ. Comput. Electron. Commer., 2014)

A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry. - Donghui Shi; Jozef M. Zurada; Jian Guan 006 (HICSS, 2015)

A Bayesian Network Approach to Classifying Bad Debt in Hospitals. - Donghui Shi; Jozef M. Zurada; Jian Guan 006 (HICSS, 2016)

Introduction to Streaming Data Analytics and Applications Minitrack. - Mehmed M. Kantardzic; Jozef M. Zurada (HICSS, 2017)

Identification of Human Factors in Aviation Incidents Using a Data Stream Approach. - Donghui Shi; Jozef M. Zurada; Jian Guan 006 (HICSS, 2017)

A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems. - Donghui Shi; Jian Guan 006; Jozef M. Zurada; Andrew S. Manikas (J. Manag. Inf. Syst., 2017)

Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. - Celina M. Olszak; Sandeep Goyal; Jozef M. Zurada (HICSS, 2019)

Big Data-driven Value Creation for Organizations. - Celina M. Olszak; Jozef M. Zurada (HICSS, 2019)

Data Stream Models for Predicting Adverse Events in a War Theater. - Donghui Shi; Jozef M. Zurada; Waldemar Karwowski; Jian Guan 006 (HICSS, 2019)

Batch and data streaming classification models for detecting adverse events and understanding the influencing factors. - Donghui Shi; Jozef M. Zurada; Waldemar Karwowski; Jian Guan 006; Erman Çakit (Eng. Appl. Artif. Intell., 2019)

Improving Prediction Models for Mass Assessment: A Data Stream Approach. - Donghui Shi; Jian Guan 006; Jozef M. Zurada; Alan S. Levitan (HICSS, 2020)

From the Special Issue Editors. - Celina M. Olszak; Jozef M. Zurada (Inf. Syst. Manag., 2020)

Big Data in Capturing Business Value. - Celina M. Olszak; Jozef M. Zurada (Inf. Syst. Manag., 2020)

Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations. - Celina M. Olszak; Jozef M. Zurada; Dilek Kozanoglu (HICSS, 2021)

Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance. - Krzysztof Fiok; Waldemar Karwowski; Edgar Gutierrez-Franco; Mohammad Reza Davahli; Maciej Wilamowski; Tareq Z. Ahram; Awad M. Aljuaid; Jozef M. Zurada (IEEE Access, 2021)

Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations. - Celina M. Olszak; Jozef M. Zurada; Dilek Cetindamar (Inf. Syst. Manag., 2021)

An Innovative Approach to Modeling Aviation Safety Incidents. - Donghui Shi; Shuai Cao; Jozef M. Zurada; Jian Guan 006 (HICSS, 2022)

Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations: Special Issue (SI) Editors: Celina M. Olszak, Jozef Zurada, Dilek Cetindamar. - Celina M. Olszak; Jozef M. Zurada; Dilek Cetindamar (Inf. Syst. Manag., 2022)

Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance. - Donghui Shi; Jian Guan 006; Jozef M. Zurada; Alan S. Levitan (WIREs Data Mining Knowl. Discov., 2022)

Introduction to the Minitrack on Business Intelligence for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era. - Celina M. Olszak; Jozef M. Zurada; Dilek Kozanoglu (HICSS, 2023)

Deep Learning in Predicting Real Estate Property Prices: A Comparative Study. - Donghui Shi; Hui Zhang; Jian Guan 006; Jozef M. Zurada; Zejun Chen; Xiyang Li (HICSS, 2023)

Exploring Stock Traders' Cognitive Biases: Research Design and Simulator Framework. - Maciej Tkacz; Jozef M. Zurada; Pawel Weichbroth (KES, 2023)

Introduction to the Minitrack on Business Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era. - Celina M. Olszak; Jozef M. Zurada; Dilek Kozanoglu; Pawel Weichbroth (HICSS, 2024)

Research on the causes of earthwork foundation pit collapse based on Fault tree and Bayesian network. - Donghui Shi; Shuling Gan; Jozef M. Zurada; Feilong Wang; Yuanyuan Wang; Jian Guan 006 (HICSS, 2024)

Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence. - Pawel Weichbroth; Jozef M. Zurada; Celina M. Olszak (HICSS, 2024)

Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents. - Donghui Shi; Zhigang Li; Jozef M. Zurada; Andrew S. Manikas; Jian Guan 006; Pawel Weichbroth (Knowl. Inf. Syst., 2024)

A multi-model approach to construction site safety: Fault trees, Bayesian networks, and ontology reasoning. - Donghui Shi; Shuling Gan; Jozef M. Zurada; Jian Guan 006; Feilong Wang; Pawel Weichbroth (Expert Syst. Appl., 2025)