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Detecting Emergent Behavior in Scenario-Based Specifications using a Probabilistic Model., , and . MoDRE@RE, page 31-38. IEEE, (2020)Detecting Uncertainty of Mortality Prediction Using Confident Learning., and . EMBC, page 1719-1722. IEEE, (2021)Loud and Interactive Paper Prototyping in Requirements Elicitation: What is it Good for?, , , , , and . EmpiRE@RE, page 16-23. IEEE Computer Society, (2018)Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality Prediction., , , and . EMBC, page 5729-5732. IEEE, (2020)Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices., , and . EMBC, page 5446-5449. IEEE, (2020)Supporting analysts by dynamic extraction and classification of requirements-related knowledge., , , and . ICSE, page 442-453. IEEE / ACM, (2019)Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI., , , , , , , , , and 4 other author(s). npj Digit. Medicine, (2024)What are Practitioners Asking about Requirements Engineering? An Exploratory Analysis of Social Q&A Sites., , , , and . RE Workshops, page 334-343. IEEE Computer Society, (2016)Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions., , , , , , and . EMBC, page 1-4. IEEE, (2023)Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning., , , and . EMBC, page 2472-2475. IEEE, (2021)