Advanced Technology Training for Operating the Microlithography Panel Printer. - Bharat Upadrasta; Mohammad T. Khasawneh; Sarah S. Lam (HCI (12), 2007)

Solving the Orienteering Problem Using Attractive and Repulsive Particle Swarm Optimization. - Herby Dallard; Sarah S. Lam; Sadan Kulturel-Konak (IRI, 2007)

A hybrid system for SPC concurrent pattern recognition. - Zheng Chen; Susan Lu; Sarah S. Lam (Adv. Eng. Informatics, 2007)

Discrete particle swarm optimization for the team orienteering problem. - Shanthi Muthuswamy; Sarah S. Lam (Memetic Comput., 2011)

Simulation based alternatives for overall process improvement at the cardiac catheterization lab. - Vikram Venkatadri; Venkatesh Arasanipalai Raghavan; Varun Kesavakumaran; Sarah S. Lam; Krishnaswami Srihari (Simul. Model. Pract. Theory, 2011)

Towards situational pattern mining from microblogging activity. - Nathan Gnanasambandam; Keith Thompson; Ion Florie Ho; Sarah S. Lam; Sang Won Yoon (WWW (Companion Volume), 2012)

A fuzzy hill-climbing algorithm for the development of a compact associative classifier. - Soumyaroop Mitra; Sarah S. Lam (Int. J. Gen. Syst., 2012)

Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms. - Bichen Zheng; Sang Won Yoon; Sarah S. Lam (Expert Syst. Appl., 2014)

Reliability and topology based network design using pattern mining guided genetic algorithm. - Nasim Nezamoddini; Sarah S. Lam (Expert Syst. Appl., 2015)

Predictive modeling of hospital readmissions using metaheuristics and data mining. - Bichen Zheng; Jinghe Zhang; Sang Won Yoon; Sarah S. Lam; Mohammad T. Khasawneh; Srikanth Poranki (Expert Syst. Appl., 2015)

Supply chain optimization under risk and uncertainty: A case study for high-end server manufacturing. - Faisal Aqlan; Sarah S. Lam (Comput. Ind. Eng., 2016)

A decision support system for real-time order management in a heterogeneous production environment. - Chanchal Saha; Faisal Aqlan; Sarah S. Lam; Warren Boldrin (Expert Syst. Appl., 2016)

Assessment of supply chain readiness for transformation. - Faisal Aqlan; Sarah S. Lam; Sreekanth Ramakrishnan (Int. J. Bus. Perform. Supply Chain Model., 2016)

t-PNE: Tensor-Based Predictable Node Embeddings. - Saba A. Al-Sayouri; Ekta Gujral; Danai Koutra; Evangelos E. Papalexakis; Sarah S. Lam (ASONAM, 2018)

SURREAL: Subgraph Robust Representation Learning. - Saba A. Al-Sayouri; Danai Koutra; Evangelos E. Papalexakis; Sarah S. Lam (Appl. Netw. Sci., 2019)

t-PINE: tensor-based predictable and interpretable node embeddings. - Saba A. Al-Sayouri; Ekta Gujral; Danai Koutra; Evangelos E. Papalexakis; Sarah S. Lam (Soc. Netw. Anal. Min., 2020)

Residue buildup predictive modeling for stencil cleaning profile decision-making using recurrent neural network. - Shrouq M. Alelaumi; Nourma Khader; Jingxi He; Sarah S. Lam; Sang Won Yoon (Robotics Comput. Integr. Manuf., 2021)

Linear Cost-sensitive Max-margin Embedded Feature Selection for SVM. - Khalid Y. Aram; Sarah S. Lam; Mohammad T. Khasawneh (Expert Syst. Appl., 2022)

Leukocytes Image Classification Using Optimized Convolutional Neural Networks. - Maryam Sadat Hosseini; Dana Bani-Hani; Sarah S. Lam (Expert Syst. Appl., 2022)

A Fuzzy-Based Approach for Cholera Risk Assessment and Vaccine Allocation. - Ahmed Gailan Qasem; Sarah S. Lam; Faisal Aqlan (Int. J. Fuzzy Syst., 2022)

Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm. - Khalid Y. Aram; Sarah S. Lam; Mohammad T. Khasawneh (Knowl. Based Syst., 2023)

Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes. - Odai Y. Dweekat; Sarah S. Lam (Soft Comput., 2023)

Prediction of wart treatment response using a hybrid GA-ensemble learning approach. - Ahmed Gailan Qasem; Sarah S. Lam (Expert Syst. Appl., 2023)

Large Language Models for Patient Comments Multi-Label Classification. - Hajar Sakai; Sarah S. Lam; Mohammadsadegh Mikaeili; Joshua Bosire; Franziska Jovin (CoRR, 2024)

QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification. - Hajar Sakai; Sarah S. Lam (CoRR, 2025)

Large Language Models for Healthcare Text Classification: A Systematic Review. - Hajar Sakai; Sarah S. Lam (CoRR, 2025)

HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling. - Hajar Sakai; Sarah S. Lam (CoRR, 2025)

KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification. - Hajar Sakai; Sarah S. Lam (CoRR, 2025)