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ORCIDSarah S. Lam
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2020 – today
- 2024
[i3]Hajar Sakai, Sarah S. Lam, Mohammadsadegh Mikaeili, Joshua Bosire, Franziska Jovin:
Large Language Models for Patient Comments Multi-Label Classification. CoRR abs/2410.23528 (2024)- 2023
- [j19]Ahmed Gailan Qasem, Sarah S. Lam:
Prediction of wart treatment response using a hybrid GA-ensemble learning approach. Expert Syst. Appl. 221: 119737 (2023) - [j18]Khalid Y. Aram
, Sarah S. Lam, Mohammad T. Khasawneh:
Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm. Knowl. Based Syst. 267: 110421 (2023) - [j17]Odai Y. Dweekat, Sarah S. Lam:
Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes. Soft Comput. 27(10): 6205-6222 (2023) - 2022
- [j16]Khalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh:
Linear Cost-sensitive Max-margin Embedded Feature Selection for SVM. Expert Syst. Appl. 197: 116683 (2022) - [j15]Maryam Hosseini, Dana Bani-Hani, Sarah S. Lam:
Leukocytes Image Classification Using Optimized Convolutional Neural Networks. Expert Syst. Appl. 205: 117672 (2022) - [j14]Ahmed Gailan Qasem, Sarah S. Lam, Faisal Aqlan:
A Fuzzy-Based Approach for Cholera Risk Assessment and Vaccine Allocation. Int. J. Fuzzy Syst. 24(8): 3366-3383 (2022) - 2021
- [j13]Shrouq M. Alelaumi, Nourma Khader, Jingxi He, Sarah S. Lam, Sang Won Yoon:
Residue buildup predictive modeling for stencil cleaning profile decision-making using recurrent neural network. Robotics Comput. Integr. Manuf. 68: 102041 (2021) - 2020
- [j12]Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
t-PINE: tensor-based predictable and interpretable node embeddings. Soc. Netw. Anal. Min. 10(1): 46 (2020)
2010 – 2019
- 2019
- [j11]Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
SURREAL: Subgraph Robust Representation Learning. Appl. Netw. Sci. 4(1): 88:1-88:20 (2019) - 2018
- [c4]Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
t-PNE: Tensor-Based Predictable Node Embeddings. ASONAM 2018: 491-494 - [i2]Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
SURREAL: SUbgraph Robust REpresentAtion Learning. CoRR abs/1805.01509 (2018) - [i1]Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra, Evangelos E. Papalexakis, Sarah S. Lam:
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings. CoRR abs/1805.01889 (2018) - 2016
- [j10]Faisal Aqlan, Sarah S. Lam:
Supply chain optimization under risk and uncertainty: A case study for high-end server manufacturing. Comput. Ind. Eng. 93: 78-87 (2016) - [j9]Chanchal Saha, Faisal Aqlan, Sarah S. Lam, Warren Boldrin:
A decision support system for real-time order management in a heterogeneous production environment. Expert Syst. Appl. 60: 16-26 (2016) - [j8]Faisal Aqlan, Sarah S. Lam, Sreekanth Ramakrishnan:
Assessment of supply chain readiness for transformation. Int. J. Bus. Perform. Supply Chain Model. 8(3): 181-200 (2016) - 2015
- [j7]Bichen Zheng, Jinghe Zhang, Sang Won Yoon, Sarah S. Lam, Mohammad T. Khasawneh, Srikanth Poranki:
Predictive modeling of hospital readmissions using metaheuristics and data mining. Expert Syst. Appl. 42(20): 7110-7120 (2015) - [j6]Nasim Nezamoddini, Sarah S. Lam:
Reliability and topology based network design using pattern mining guided genetic algorithm. Expert Syst. Appl. 42(21): 7483-7492 (2015) - 2014
- [j5]Bichen Zheng, Sang Won Yoon, Sarah S. Lam:
Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms. Expert Syst. Appl. 41(4): 1476-1482 (2014) - 2012
- [j4]Soumyaroop Mitra, Sarah S. Lam:
A fuzzy hill-climbing algorithm for the development of a compact associative classifier. Int. J. Gen. Syst. 41(2): 187-213 (2012) - [c3]Nathan Gnanasambandam, Keith Thompson, Ion Florie Ho, Sarah S. Lam, Sang Won Yoon:
Towards situational pattern mining from microblogging activity. WWW (Companion Volume) 2012: 661-666 - 2011
- [j3]Shanthi Muthuswamy, Sarah S. Lam:
Discrete particle swarm optimization for the team orienteering problem. Memetic Comput. 3(4): 287-303 (2011) - [j2]Vikram Venkatadri, Venkatesh Arasanipalai Raghavan, Varun Kesavakumaran, Sarah S. Lam, Krishnaswami Srihari:
Simulation based alternatives for overall process improvement at the cardiac catheterization lab. Simul. Model. Pract. Theory 19(7): 1544-1557 (2011)
2000 – 2009
- 2007
- [j1]Zheng Chen, Susan Lu, Sarah S. Lam:
A hybrid system for SPC concurrent pattern recognition. Adv. Eng. Informatics 21(3): 303-310 (2007) - [c2]Bharat Upadrasta, Mohammad T. Khasawneh, Sarah S. Lam:
Advanced Technology Training for Operating the Microlithography Panel Printer. HCI (12) 2007: 998-1007 - [c1]Herby Dallard, Sarah S. Lam, Sadan Kulturel-Konak:
Solving the Orienteering Problem Using Attractive and Repulsive Particle Swarm Optimization. IRI 2007: 12-17
Coauthor Index
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