Jian Guan

22 papers Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
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
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
2022 — conf
An Innovative Approach to Modeling Aviation Safety Incidents.
HICSS
Donghui Shi, Shuai Cao, Jozef M. Zurada, Jian Guan
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
2020 — conf
Improving Prediction Models for Mass Assessment: A Data Stream Approach.
HICSS
Donghui Shi, Jian Guan, Jozef M. Zurada, Alan S. Levitan
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
Data Stream Models for Predicting Adverse Events in a War Theater.
HICSS
Donghui Shi, Jozef M. Zurada, Waldemar Karwowski, Jian Guan
2018 J jnl
Text Mining Using Latent Semantic Analysis: An Illustration through Examination of 30 Years of Research at
J. Inf. Syst.
Jian Guan, Alan S. Levitan, Sandeep Goyal
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
2016 — conf
A Bayesian Network Approach to Classifying Bad Debt in Hospitals.
HICSS
Donghui Shi, Jozef M. Zurada, Jian Guan
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
2013 J jnl
How AIS can progress along with ontology research in IS.
Int. J. Account. Inf. Syst.
Jian Guan, Alan S. Levitan, John R. Kuhn Jr.
2012 J jnl
A Model for Investigating Internal Control Weaknesses.
Commun. Assoc. Inf. Syst.
Jian Guan, Alan S. Levitan
2008 J jnl
Modeling an Object-Oriented Accounting System with Computer-Aided Software Engineering.
J. Inf. Syst.
Alan S. Levitan, Jian Guan, Andrew Cobb
2006 — conf
An Ontological Model for Accounting Information Systems.
AMCIS
Jian Guan, Andrew Cobb, Alan S. Levitan