DSpace@RPI is a repository of Rensselaer Polytechnic Institute's theses and dissertations which are available in digital format, largely from 2006 to present, along with other selected resources.

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  • DeFi Survival Analysis: Insights into Risks and User Behavior 

    Green, Aaron; Cammilleri, Christopher; Erickson, John; Seneviratne, Oshani; Bennett, Kristin (Springer, 2022-06)
    We propose a decentralized finance (DeFi) survival analysis approach for discovering and characterizing user behavior and risks in lending protocols. We demonstrate how to gather and prepare DeFi transaction data for ...
  • Semantic Technologies for Clinically Relevant Personal Health Applications 

    Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, Jim; McGuinness, Deborah L; Monti, Marco; Rastogi, Nidhi; Seneviratne, Oshani; Zaki, Mohammed J (Springer, 2022-11-23)
    Despite recent advances in digital health solutions and machine learning, personal health applications that aim to modify health behaviors are still limited in their ability to offer more personalized decision support. ...
  • Foundations of Explainable Knowledge-Enabled Systems 

    Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel M.; McGuinness, Deborah (IOS Press, 2020-04)
    Explainability has been an important goal since the early days of Artificial Intelligence. Several approaches for producing explanations have been developed. However, many of these approaches were tightly coupled with the ...
  • Drug and gene delivery from electrospun fibers for neural repair 

    Puhl, Devan, L. (Rensselaer Polytechnic Institute, Troy, NY, 2022-05)
    Peripheral nerve injury (PNI) affects millions of individuals in the United States alone and can result in loss of motor and sensory function. The native repair response in the peripheral nervous system (PNS) enables ...
  • Enabling Trust in Clinical Decision Support Recommendations through Semantics 

    Seneviratne, Oshani; Das, Amar K.; Agu, Nkechinyere; Rashid, Sabbir M.; Chen, Ching-Hua; McCusker, Jamie P.; Hendler, Jim; McGuinness, Deborah (CEUR Workshop Proceedings (CEUR-WS.org), 2019)
    In an ideal world, the evidence presented in a clinical guideline would cover all aspects of patient care and would apply to all types of patients; however, in practice, this rarely is the case. Existing medical decision ...

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