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    AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy by Schoenegger, Philipp, Park, Peter, Karger, Ezra, Trott, Sean, Tetlock, Philip

    Published 2025
    “…Exploratory analyses showed a pronounced outlier effect in one forecasting item, without which we find that the superforecasting assistant increased accuracy by 41%, compared with 29% for the noisy assistant. …”
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    Article
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    Detection of road markings for advanced driver assistance by Suchitra Sathyanarayana

    Published 2013
    “…Automatic detection of road markings will enhance the capabilities of Advanced Driver Assistance Systems (ADAS) as road markings denote vital information pertaining to traffic safety and navigation. …”
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    Thesis
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    AI assisted indoor localization by Lee, Yih Jie

    Published 2023
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    Final Year Project (FYP)
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    The effect of inter-municipal cooperation on social assistance programs: evidence from housing allowances in England by Elston, T, Bel, G, Wang, H

    Published 2024
    “…Decentralized implementation of means-tested social assistance programs requires significant organizational capacity among local governments. …”
    Journal article
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    Robust Eye-Based Dwell-Free Typing by Liu, Yi, Lee, Bu-Sung, McKeown, Martin J.

    Published 2016
    “…For a subset of physically challenged people, assistive technologies, such as alternative form of text entry, can be of tremendous benefit. …”
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    Journal Article
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    Value investing with machine learning: the South American market by Chen, Ye

    Published 2024
    “…This paper compares the training speed and prediction accuracy of models using different numbers of layers and neurons. …”
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    Thesis-Master by Coursework
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    System design and development of human-robot interaction control scheme for assistive robotic Arm extender by Yang, Sibo

    Published 2025
    “…Patients wore robots and performed ADL tasks in two conditions: with assistance from the robot (With Robot) and without assistance (No Robot). …”
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    Thesis-Doctor of Philosophy
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    Machine-learning-assisted optimization of a single-atom coordination environment for accelerated fenton catalysis by Fu, Haoyang, Li, Ke, Zhang, Chenfei, Zhang, Jianghong, Liu, Jiyuan, Chen, Xi, Chen, Guoliang, Sun, Yongyang, Li, Shuzhou, Ling, Lan

    Published 2023
    “…Here, we broaden the use of ML to assist the construction of Fenton-like single-atom catalysts (SACs) by developing a methodology including model building, training, and prediction. …”
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    Journal Article