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    Identification of DNA Methylation Markers Using Feature Selection and Deep Learning 

    Huber, Aaron; Gomes, Rahul (2021-04)
    Current tools used to gather DNA methylation data can now retrieve well over 850,000 unique methylation values per sample. As these datasets tend to be too large for a human to reasonably parse through by themselves, ...
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    Optimizing Deep Learning Architecture for Remote Sensing Image Analysis 

    Mohan, Pavithra Devy; DeWitte, Matthew; Rozario, Papia F.; Gomes, Rahul (2021-04)
    Deep Learning tools have become very efficient in high-resolution image analysis compared to traditional classification models. One such example is the implementation of semantic segmentation using a Convolutional Neural ...
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    Continuous, Dynamic User Authentication Using Mobile Touch Dynamics Based on Machine Learning 

    DeRidder, Zach; Pelto, Brendan; Dave, Rushit (2022-04)
    Modern user authentication measures on mobile devices often include biometric authentication (facial and fingerprint), multi-factor authentication, and password entry as ways of authenticating users. These authentication ...
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    A Bibliographic Overview of Colorectal Cancer Detection and Prevention Using Machine Learning Techniques 

    Bourget, Elena; Mahan, Oliver; Fenno, Emily; Islam, Rakib (2022-04)
    The idea of using machine learning techniques to identify colorectal cancer is a relatively new one, with most of the research being done in the last ten years. To determine the current state of research in this field, an ...
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    A Deep Learning Model for Pancreatic Ductal Adenocarcinoma Chemotherapy Outcome Prediction 

    He, Nichol; Kamrowski, Connor; Varatharajan, Thulasi; Syzmoniak, Amy; Lathiya, Maulik K.; Gomes, Rahul (2022-04)
    Pancreatic Ductal Adenocarcinoma (PDAC) is an aggressive abdominal malignancy, with an overall 8.5% 5-year survival rate. PDAC is often detected too late for surgical resection and associated with resistance to chemotherapy ...
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    Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication 

    Kokal, Sara; Pryor, Laura; Dave, Rushit (2022)
    Today’s research finds that behavioral biometrics, a method that makes a decision based on the user’s behaviors, can provide a secure authentication method for mobile devices. This presentation will provide a review on the ...
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    Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications : AIMS (Artificial Intelligence, Machine Learning, and Security) Research Group 

    Lasky, Nicholas; Hallis, Benjamin (2022-04)
    As cyber-attacks increase in volume and sophistication, the current state of cybersecurity solutions is inadequate. According to Red Canary, Advanced Persistent Threat (APT) attacks have increased from approximately 500 ...

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    AuthorDave, Rushit (2)Gomes, Rahul (2)Bourget, Elena (1)DeRidder, Zach (1)DeWitte, Matthew (1)Fenno, Emily (1)Gomes, Rahul (1)Hallis, Benjamin (1)He, Nichol (1)Huber, Aaron (1)... View MoreSubject
    Department of Computer Science (7)
    Machine learning (7)
    Posters (7)Authentication (2)Computer security (2)Bibliographic analysis (1)Cancer detection (1)Chemotherapy (1)Colorectal cancer (1)Cybersecurity (1)... View MoreDate Issued2022 (5)2021 (2)Has File(s)Yes (7)

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