Browsing by Author "Zaki, Mohammed, J."

Now showing items 1-4 of 4

    • Associative learning for text and graph data 

      Liang, Yuchen (Rensselaer Polytechnic Institute, Troy, NY, 2023-05)
      This dissertation focuses on the application of associative learning into text data and graphstructured data. Associative learning is the process of learning to associate two stimuli. If the connection between two events ...

    • Employing ensemble reasoning to support clinical decision-making 

      Rashid, Sabbir, Muhammed (Rensselaer Polytechnic Institute, Troy, NY, 2023-05)
      The combination of multiple forms of reasoning in conjunction is often used by physicians making clinical decisions. The Select and Test Model, which involves various forms of reasoning including abstraction, deduction, ...

    • Generating natural language summaries from temporal personal health data 

      Harris, Jonathan (Rensselaer Polytechnic Institute, Troy, NY, 2022-12)
      Within the personal health domain, there is a vast amount of temporal knowledge that can be collected about an individual (e.g., their time-stamped heart rate and step count data) due to the recent surge in the production ...

    • Natural language understanding with semantic parsing 

      Liang, Zhicheng (Rensselaer Polytechnic Institute, Troy, NY, 2022-12)
      As a branch of natural language processing (NLP), natural language understanding (NLU) involves transforming natural language into a structured, machine-readable format. Typical target formats vary depending on the domain ...