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Theng-Jia Law

Observed name: Theng Jia Law
Observed institution: Multimedia University
ORCID: 0009-0001-2361-3614
Observed ORCID: 0009-0001-2361-3614
OpenAlex ID: A5010000723
Ensemble-SMOTE: Mitigating Class Imbalance in Graduate on Time Detection
2024 · Theng-Jia Law, Choo-Yee Ting, et al. · Journal of Informatics and Web Engineering · 15
A Review of Graduate on Time Prediction
2024 · Theng-Jia Law, Choo-Yee Ting, et al. · International Journal on Advanced Science Engineering and Information Technology · 3
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Improving Embeddings Representation via QED Approach for Enhancing Graduate on Time and Employability Prediction
2025 · Theng-Jia Law, Choo-Yee Ting, et al. · International Journal of Computational Intelligence Systems · 2
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A Multilingual BERT Embeddings Approach in Identifying Factors Influencing Employability Among Pre-University Students
2024 · Theng-Jia Law, Choo-Yee Ting, et al. · IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) · 1
Detecting Need-Attention Patients using Machine Learning
2024 · Theng Jia Law, Choo-Yee Ting, et al. · JOIV International Journal on Informatics Visualization · 1
Factors of Pre-University Study in Influencing Graduate on Time
2024 · Theng-Jia Law, Choo-Yee Ting, et al. · International Conference on Advanced Computational Intelligence (ICACI) · 1
Enriching structured dataset via reasoning embeddings with few-shot learning for enhancing complaint classification
2026 · Theng-Jia Law, Choo-Yee Ting · Discover Artificial Intelligence
A Multilabel Embedding-Based Framework for Predicting Short-Term Cross-Category Complaint Recurrence
2026 · Theng-Jia Law, Choo-Yee Ting, et al. · Informatics
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Enhancing complaint locations prediction with image-space embedding representations and customized large language models
2026 · Theng-Jia Law, Choo-Yee Ting, et al. · Scientific Reports
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Design of an artificial-intelligence based system for transmission planning
1994 · Theng-Jia Law, Kitpo Wong · UWA Profiles and Research Repository (UWA)
Works count: 10
Citation count: 23
H-index: 2
I10-index: 1
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