Mining Multi-modal Crime Patterns at Different Levels of Granularity Using Hierarchical Clustering. - Yee Ling Boo; Damminda Alahakoon (CIMCA/IAWTIC/ISE, 2008)

Cluster driven approach for pattern identification and understanding. - Yee Ling Boo (2009)

Identifying multi-view patterns with hierarchy and granularity based multimodal (HGM) cogntive model. - Yee Ling Boo; Damminda Alahakoon (GrC, 2011)

Clusters driven implementation of a brain inspired model for multi-view pattern identifications. - Yee Ling Boo; Damminda Alahakoon (ISDA, 2011)

The Impact of Feature Selection: a Data-Mining Application in Direct Marketing. - Ding-Wen Tan; William Yeoh 002; Yee Ling Boo; Soung-Yue Liew (Intell. Syst. Account. Finance Manag., 2013)

Building Multi-modal Crime Profiles with Growing Self Organising Maps. - Yee Ling Boo; Damminda Alahakoon (Computational Intelligence in Digital Forensics, 2014)

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness. - Neil Foshay; William Yeoh 002; Yee Ling Boo; Kok-Leong Ong; David Mattie (Australas. J. Inf. Syst., 2015)

Bee Colony Based Worker Reliability Estimation Algorithm in Microtask Crowdsourcing. - Alireza Moayedikia; Kok-Leong Ong; Yee Ling Boo; William Yeoh 002 (ICMLA, 2016)

Meta-Heuristic Multi-objective Community Detection Based on Users' Attributes. - Alireza Moayedikia; Kok-Leong Ong; Yee Ling Boo; William Yeoh 002 (AusDM, 2017)

Feature selection for high dimensional imbalanced class data using harmony search. - Alireza Moayedikia; Kok-Leong Ong; Yee Ling Boo; William G. S. Yeoh; Richard Jensen (Eng. Appl. Artif. Intell., 2017)

Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network. - Tahereh Pourhabibi; Yee Ling Boo; Kok-Leong Ong; Booi Kam 001; Xiuzhen Zhang 001 (AusDM, 2018)

Task assignment in microtask crowdsourcing platforms using learning automata. - Alireza Moayedikia; Kok-Leong Ong; Yee Ling Boo; William G. S. Yeoh (Eng. Appl. Artif. Intell., 2018)

Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach. - Alireza Moayedikia; William Yeoh 002; Kok-Leong Ong; Yee Ling Boo (Decis. Support Syst., 2019)

Fraud detection: A systematic literature review of graph-based anomaly detection approaches. - Tahereh Pourhabibi; Kok-Leong Ong; Booi Kam 001; Yee Ling Boo (Decis. Support Syst., 2020)

Framework and Literature Analysis for Crowdsourcing's Answer Aggregation. - Alireza Moayedikia; William Yeoh 002; Kok-Leong Ong; Yee Ling Boo (J. Comput. Inf. Syst., 2020)

DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit. - Tahereh Pourhabibi; Kok-Leong Ong; Booi Hon Kam; Yee Ling Boo (Decis. Support Syst., 2021)

Detecting covert communities in multi-layer networks: A network embedding approach. - Tahereh Pourhabibi; Kok-Leong Ong; Yee Ling Boo; Booi Kam 001 (Future Gener. Comput. Syst., 2021)

Selection of Cloud Service Providers: A Fuzzy-set Qualitative Comparative Analysis Approach. - Mohammad Alamgir Hossain; Alvedi Sabani; Sachithra Lokuge; Yee Ling Boo; Shahriar Kaisar (TDIT (3), 2022)

Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility. - Abhinav Shrivastava; Humza Naseer; Booi Kam 001; Yee Ling Boo; Kok-Leong Ong (ECIS, 2023)

Transforming Resources to Operationalize Analytics: An Empirical Investigation. - Abhinav Shrivastava; Humza Naseer; Stuart Black; Booi Kam 001; Yee Ling Boo; Kok-Leong Ong (ACIS, 2024)

Operationalising Analytics Through Resource Orchestration - An Empirical Examination. - Abhinav Shrivastava; Humza Naseer; Stuart Black; Yee Ling Boo; Booi Kam 001; Kok-Leong Ong (ECIS, 2024)

GroundingCarDD: Text-Guided Multimodal Phrase Grounding for Car Damage Detection. - Md Jahid Hasan; Agustinus Nalwan; Kok-Leong Ong; Hamed Jahani; Yee Ling Boo; Kha Cong Nguyen; Mahmudul Hasan 018 (IEEE Access, 2024)

Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live". - Yee Ling Boo; Manik Gupta; Weijia Zhang; Philippe Fournier-Viger (Data Sci. Eng., 2024)

Vehicle Damage Detection Using Artificial Intelligence: A Systematic Literature Review. - Md Jahid Hasan; Kha Cong Nguyen; Yee Ling Boo; Hamed Jahani; Kok-Leong Ong (WIREs Data. Mining. Knowl. Discov., 2025)