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81
Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization
Published 2023“…Decision tree regressor, linear regression, MLP regressor, random forest regressor, SGD regressor, voting regressor, and Xgboost regressor were employed as predictive models. …”
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Article -
82
Extended features based random vector functional link network for classification problem
Published 2022“…The outcome of the base models is integrated via average voting scheme. Empirical evaluation over <inline-formula> <tex-math notation="LaTeX">$46$</tex-math> </inline-formula> UCI classification datasets demonstrates that the proposed efRVFL and en-efRVFL models have better performance than RVFL and other given deep models. …”
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Journal Article -
83
以文图学解析1930-1960年代《南洋商报》的美禄广告 = A study of milo advertisement published in Nanyang Siang Pau (1930s-1960s) from the perspective of text and image studies...
Published 2020“…Milo is a tonic drink developed by Nestle in Switzerland. In 2017, Milo was voted as Singapore's consumers favourite brand. Milo is significant part of Singapore's food culture and plays an important role in forging our Singaporean identity. …”
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Final Year Project (FYP) -
84
Efficient optimization of network metrics in large uncertain graphs
Published 2022“…The final problem is a novel variant of the well-known opinion maximization problem where, given a social network of users with real-valued opinions (about different candidates) which diffuse according to a specified model starting from time 0, the goal is to choose the top-k seed users maximizing a specific voting-based score for the target candidate at a given finite time horizon. …”
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Thesis-Doctor of Philosophy -
85
Detection of false data injection attacks in smart grid cyber-physical systems
Published 2019“…Neighboring HMs make use of the majority voting algorithm based on a set of predefined normal behavior rules to identify the existence of abnormal measurement data collected by PMUs. …”
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Thesis -
86
Semantic scene understanding on 3D point clouds
Published 2025“…To produce robust 3D semantic pseudo labels, we introduce a semantic label fusion strategy that effectively combines all results through voting. Our investigation encompasses various scenarios, including zero-shot learning and limited guidance from sparse 2D point labels, allowing us to evaluate the strengths and limitations of different vision foundation models. …”
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Thesis-Doctor of Philosophy