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Filtering by: License Label Attribution-ShareAlike 4.0 (CC BY-SA 4.0) Remove constraint License Label: Attribution-ShareAlike 4.0 (CC BY-SA 4.0) Degree Field Computer Science Remove constraint Degree Field: Computer Science Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation
    Full Text:
    BY-SA 4.0 Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response

  • On Avoiding Power-Seeking by Artificial Intelligence

    Creator:
    Turner, Alexander M.
    Abstract:
    We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
    Resource Type:
    Dissertation
    Full Text:
    procedures. ©Copyright by Alexander Matt Turner May 27, 2022 Attribution 4.0 (CC BY 4.0) On

  • The Evolution of Software Entropy in Open Source projects: An Empirical Study

    Creator:
    Mannan, Umme Ayda
    Abstract:
    Software entropy impacts the overall quality of software systems. High entropy hinders developers from understanding the purpose of a piece of code and can cause developers to make sub-optimal changes and introduce bugs. Researchers have used entropy scores to measure the naturalness of code. However, thus far, no one has...
    Resource Type:
    Technical Report
    Full Text:
    it by entropy. If a code snippet has high entropy, that means the code is drifting from its natural