Yee Ling Boo

31 papers C 2Misc 10Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 Misc ed.
Data Science and Machine Learning - 22nd Australasian Conference, AusDM 2024, Melbourne, VIC, Australia, November 25-27, 2024, Proceedings
AusDM
Thirunavukarasu Balasubramaniam, Kewen Liao, Varvara Vetrova, Diana Benavides-Prado, Yee Ling Boo, Yanchang Zhao
2026 Misc ed.
Data Science and Machine Learning - 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26-28, 2025, Proceedings
AusDM
Quang Vinh Nguyen, Yuefeng Li, Paul Kwan, Yanchang Zhao, Yee Ling Boo, Richi Nayak
2025 Misc conf
CarDamageEval: Benchmark Evaluation of Car Damage Assessment Using Vision Language Models.
AusDM
Md Jahid Hasan, Kha Cong Nguyen, Yee Ling Boo, Hamed Jahani, Kok-Leong Ong
2025 J jnl
Vehicle Damage Detection Using Artificial Intelligence: A Systematic Literature Review.
WIREs Data. Mining. Knowl. Discov.
Md Jahid Hasan, Kha Cong Nguyen, Yee Ling Boo, Hamed Jahani, Kok-Leong Ong
2024 Misc ed.
Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings
AusDM
Diana Benavides-Prado, Sarah M. Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh
2024 J jnl
GroundingCarDD: Text-Guided Multimodal Phrase Grounding for Car Damage Detection.
IEEE Access
Md Jahid Hasan, Agustinus Nalwan, Kok-Leong Ong, Hamed Jahani, Yee Ling Boo, Kha Cong Nguyen, Mahmudul Hasan
2024 — conf
Operationalising Analytics Through Resource Orchestration - An Empirical Examination.
ECIS
Abhinav Shrivastava, Humza Naseer, Stuart Black, Yee Ling Boo, Booi Kam, Kok-Leong Ong
2024 J jnl
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live".
Data Sci. Eng.
Yee Ling Boo, Manik Gupta, Weijia Zhang, Philippe Fournier-Viger
2024 — conf
Transforming Resources to Operationalize Analytics: An Empirical Investigation.
ACIS
Abhinav Shrivastava, Humza Naseer, Stuart Black, Booi Kam, Yee Ling Boo, Kok-Leong Ong
2023 — conf
Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility.
ECIS
Abhinav Shrivastava, Humza Naseer, Booi Kam, Yee Ling Boo, Kok-Leong Ong
2023 — conf
Selection of Cloud Service Providers: A Fuzzy-set Qualitative Comparative Analysis Approach.
TDIT (3)
Mohammad Alamgir Hossain, Alvedi Sabani, Sachithra Lokuge, Yee Ling Boo, Shahriar Kaisar
2022 Misc ed.
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
AusDM
Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. Williams, Simeon Simoff
2021 J jnl
DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit.
Decis. Support Syst.
Tahereh Pourhabibi, Kok-Leong Ong, Booi Hon Kam, Yee Ling Boo
2021 Misc ed.
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
AusDM
Yue Xu, X. Rosalind Wang, Anton R. Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham J. Williams
2021 J jnl
Detecting covert communities in multi-layer networks: A network embedding approach.
Future Gener. Comput. Syst.
Tahereh Pourhabibi, Kok-Leong Ong, Yee Ling Boo, Booi Kam
2020 J jnl
Framework and Literature Analysis for Crowdsourcing's Answer Aggregation.
J. Comput. Inf. Syst.
Alireza Moayedikia, William Yeoh, Kok-Leong Ong, Yee Ling Boo
2020 J jnl
Fraud detection: A systematic literature review of graph-based anomaly detection approaches.
Decis. Support Syst.
Tahereh Pourhabibi, Kok-Leong Ong, Booi Kam, Yee Ling Boo
2019 J jnl
Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach.
Decis. Support Syst.
Alireza Moayedikia, William Yeoh, Kok-Leong Ong, Yee Ling Boo
2018 Misc conf
Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network.
AusDM
Tahereh Pourhabibi, Yee Ling Boo, Kok-Leong Ong, Booi Kam, Xiuzhen Zhang
2018 Misc ed.
Data Mining - 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
AusDM
Yee Ling Boo, David Stirling, Lianhua Chi, Lin Liu, Kok-Leong Ong, Graham Williams
2018 J jnl
Task assignment in microtask crowdsourcing platforms using learning automata.
Eng. Appl. Artif. Intell.
Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William G. S. Yeoh
2017 J jnl
Feature selection for high dimensional imbalanced class data using harmony search.
Eng. Appl. Artif. Intell.
Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William G. S. Yeoh, Richard Jensen
2017 Misc conf
Meta-Heuristic Multi-objective Community Detection Based on Users' Attributes.
AusDM
Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William Yeoh
2016 C conf
Bee Colony Based Worker Reliability Estimation Algorithm in Microtask Crowdsourcing.
ICMLA
Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William Yeoh
2015 J jnl
A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness.
Australas. J. Inf. Syst.
Neil Foshay, William Yeoh, Yee Ling Boo, Kok-Leong Ong, David Mattie
2014 — ch.
Building Multi-modal Crime Profiles with Growing Self Organising Maps.
Computational Intelligence in Digital Forensics
Yee Ling Boo, Damminda Alahakoon
2013 J jnl
The Impact of Feature Selection: a Data-Mining Application in Direct Marketing.
Intell. Syst. Account. Finance Manag.
Ding-Wen Tan, William Yeoh, Yee Ling Boo, Soung-Yue Liew
2011 C conf
Clusters driven implementation of a brain inspired model for multi-view pattern identifications.
ISDA
Yee Ling Boo, Damminda Alahakoon
2011 Misc conf
Identifying multi-view patterns with hierarchy and granularity based multimodal (HGM) cogntive model.
GrC
Yee Ling Boo, Damminda Alahakoon
2009 — —
Cluster driven approach for pattern identification and understanding.
Yee Ling Boo
2008 — conf
Mining Multi-modal Crime Patterns at Different Levels of Granularity Using Hierarchical Clustering.
CIMCA/IAWTIC/ISE
Yee Ling Boo, Damminda Alahakoon