Jozef M. Zurada

54 papers B 2Journal 22Unranked 30
YearRankTypeTitle / Venue / Authors
2026 — conf
Introduction to the Minitrack on Artificial Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations.
HICSS
Celina M. Olszak, Jozef M. Zurada, Jan Kozak, Zahra Hatami
2026 — conf
Predicting Flight Delays Using Machine Learning.
HICSS
Kenney Snell, Jozef M. Zurada, Zahra Hatami, Celina M. Olszak, Jan Kozak
2025 J jnl
A multi-model approach to construction site safety: Fault trees, Bayesian networks, and ontology reasoning.
Expert Syst. Appl.
Donghui Shi, Shuling Gan, Jozef M. Zurada, Jian Guan, Feilong Wang, Pawel Weichbroth
2025 — conf
Exploration of Behavioral Patterns and Cognitive Biases among Stock Market Investors.
HICSS
Celina M. Olszak, Maciej Tkacz, Pawel Weichbroth, Jozef M. Zurada
2025 — conf
Introduction to the Minitrack on Artificial Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations.
HICSS
Celina M. Olszak, Jozef M. Zurada, Pawel Weichbroth
2025 J jnl
USER: User-Side modality representation enhancement for multimodal recommendation.
Knowl. Based Syst.
Yi Fan, Donghui Shi, José Lisandro Aguilar, Jozef M. Zurada
2024 — conf
Exploring the Benefits, Challenges, and Opportunities of Collaborative Business Intelligence.
HICSS
Pawel Weichbroth, Jozef M. Zurada, Celina M. Olszak
2024 — conf
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era.
HICSS
Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu, Pawel Weichbroth
2024 J jnl
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents.
Knowl. Inf. Syst.
Donghui Shi, Zhigang Li, Jozef M. Zurada, Andrew S. Manikas, Jian Guan, Pawel Weichbroth
2024 — conf
Research on the causes of earthwork foundation pit collapse based on Fault tree and Bayesian network.
HICSS
Donghui Shi, Shuling Gan, Jozef M. Zurada, Feilong Wang, Yuanyuan Wang, Jian Guan
2023 — conf
Deep Learning in Predicting Real Estate Property Prices: A Comparative Study.
HICSS
Donghui Shi, Hui Zhang, Jian Guan, Jozef M. Zurada, Zejun Chen, Xiyang Li
2023 B conf
Exploring Stock Traders' Cognitive Biases: Research Design and Simulator Framework.
KES
Maciej Tkacz, Jozef M. Zurada, Pawel Weichbroth
2023 — conf
Introduction to the Minitrack on Business Intelligence for Innovative, Collaborative and Sustainable Development of Organizations in Digital Era.
HICSS
Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu
2022 — conf
An Innovative Approach to Modeling Aviation Safety Incidents.
HICSS
Donghui Shi, Shuai Cao, Jozef M. Zurada, Jian Guan
2022 J jnl
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.
Celina M. Olszak, Jozef M. Zurada, Dilek Cetindamar
2022 — conf
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations.
HICSS
Celina M. Olszak, Dilek Kozanoglu, Jozef M. Zurada
2022 J jnl
Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance.
WIREs Data Mining Knowl. Discov.
Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan
2021 J jnl
Business Intelligence & Big Data for Innovative and Sustainable Development of Organizations.
Inf. Syst. Manag.
Celina M. Olszak, Jozef M. Zurada, Dilek Cetindamar
2021 — conf
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations.
HICSS
Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu
2021 J jnl
Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance.
IEEE Access
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutierrez-Franco, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Z. Ahram, Awad M. Aljuaid, Jozef M. Zurada
2021 J jnl
Text Guide: Improving the quality of long text classification by a text selection method based on feature importance.
CoRR
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutiérrez, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Z. Ahram, Awad M. Aljuaid, Jozef M. Zurada
2020 J jnl
Big Data in Capturing Business Value.
Inf. Syst. Manag.
Celina M. Olszak, Jozef M. Zurada
2020 J jnl
From the Special Issue Editors.
Inf. Syst. Manag.
Celina M. Olszak, Jozef M. Zurada
2020 — conf
Improving Prediction Models for Mass Assessment: A Data Stream Approach.
HICSS
Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan
2020 — conf
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations.
HICSS
Celina M. Olszak, Jozef M. Zurada, Dilek Kozanoglu
2019 J jnl
Batch and data streaming classification models for detecting adverse events and understanding the influencing factors.
Eng. Appl. Artif. Intell.
Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan, Erman Çakit
2019 — conf
Big Data-driven Value Creation for Organizations.
HICSS
Celina M. Olszak, Jozef M. Zurada
2019 — conf
Data Stream Models for Predicting Adverse Events in a War Theater.
HICSS
Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan
2019 — conf
Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations.
HICSS
Celina M. Olszak, Sandeep Goyal, Jozef M. Zurada
2017 J jnl
A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems.
J. Manag. Inf. Syst.
Donghui Shi, Jian Guan, Jozef M. Zurada, Andrew S. Manikas
2017 — conf
Identification of Human Factors in Aviation Incidents Using a Data Stream Approach.
HICSS
Donghui Shi, Jozef M. Zurada, Jian Guan
2017 — conf
Introduction to Streaming Data Analytics and Applications Minitrack.
HICSS
Mehmed M. Kantardzic, Jozef M. Zurada
2016 — conf
A Bayesian Network Approach to Classifying Bad Debt in Hospitals.
HICSS
Donghui Shi, Jozef M. Zurada, Jian Guan
2016 — conf
Introduction to Streaming Data Analytics and Applications Minitrack.
HICSS
Mehmed M. Kantardzic, Jozef M. Zurada
2015 — conf
A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry.
HICSS
Donghui Shi, Jozef M. Zurada, Jian Guan
2014 — conf
A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare.
HICSS
Donghui Shi, Jozef M. Zurada, Jian Guan
2014 J jnl
Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration.
J. Organ. Comput. Electron. Commer.
Jian Guan, Donghui Shi, Jozef M. Zurada, Alan S. Levitan
2013 — conf
A Fuzzy Neural Approach to Classifying Low Back Disorders Risks.
HICSS
Jozef M. Zurada, Donghui Shi, Jian Guan
2013 J jnl
An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs.
Expert Syst. Appl.
Donghui Shi, Jozef M. Zurada, Jian Guan
2012 J jnl
Classifying the risk of work related low back disorders due to manual material handling tasks.
Expert Syst. Appl.
Jozef M. Zurada
2012 — conf
Predicting the Risk of Low Back Disorders due to Manual Handling Tasks.
HICSS
Jozef M. Zurada
2011 — conf
Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions.
HICSS
Jozef M. Zurada, K. Niki Kunene
2011 J jnl
Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal.
Inf. Syst. Manag.
Jozef M. Zurada, Waldemar Karwowski
2010 — conf
Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?.
HICSS
Jozef M. Zurada
2010 — conf
Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study.
ICAISC (1)
Jozef M. Zurada, K. Niki Kunene
2008 J jnl
Experience-Consistent Modeling for Radial Basis Function Neural Networks.
Int. J. Neural Syst.
Witold Pedrycz, Partab Rai, Jozef M. Zurada
2002 — conf
Data Mining Techniques in Predicting Default Rates on Customer Loans.
BalticDB&IS
Jozef M. Zurada
2001 J jnl
A neuro-fuzzy approach for robot system safety.
IEEE Trans. Syst. Man Cybern. Syst.
Jozef M. Zurada, A. L. Wright, James H. Graham
2000 B conf
A two-stage algorithm for improved topography preservation in self-organizing maps.
SMC
James S. Kirk, Jozef M. Zurada
1997 — conf
A Flexible Computer System for Ergonomic Diagnosis.
HCI (1)
Ewa Gorska, Jozef M. Zurada
1996 J jnl
Automated tuning of an electronic circuit board using the artificial neural network approach.
J. Intell. Manuf.
Akio Ukita, Waldemar Karwowski, Gavriel Salvendy, Wookgee Lee, Jozef M. Zurada
1996 J jnl
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images.
IEEE Trans. Medical Imaging
Yasser M. Kadah, Amal A. Farag, Jozef M. Zurada, Ahmed M. Badawi, Abou Bakr M. Youssef
1996 J jnl
Intelligent Neural Network Based Decision Unit for Robot Safety.
J. Intell. Fuzzy Syst.
Jozef M. Zurada, James H. Graham, Waldemar Karwowski
1995 J jnl
Applications of fuzzy-based linguistic patterns for the assessment of computer screen design quality.
Int. J. Hum. Comput. Interact.
Jerzy Grobelny, Waldemar Karwowski, Jozef M. Zurada