Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 8 of 8 for “"Mitigating bias"”.
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Mitigating Bias in Medical Education at the Intersection of Standardized Patients and Medical Students
… underrepresented in medicine [URiM] experience bias, due in part to the inherent subjectivity of an SP’s evaluation of the doctor-patient interaction. In most training programs, medical students are assessed on their clinical and interpersonal skills via simulated encounters where students …
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Color Invariant Skin Segmentation
… across different ethnicities and reduces bias to any skin tones. Therefore, this work has strong potential to aid in mitigating bias in automated systems that can be applied to many applications including surveillance and biometrics.
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INTEGRATING CULTURALLY SUSTAINING PEDAGOGY TO DISRUPT OPPRESSIVE PRACTICE
… of all learners will require identifying and mitigating bias among the staff, incorporating the voices of the South Asian parents, and mobilizing the knowledge of community stakeholders to integrate culturally relevant curriculum into daily practice. At the heart of my approach to solving the …
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Locality of Topographic Ground Truth Data for Salt Marsh Lidar DEM Elevation Bias Mitigation Using Machine Learning
… that local ground truth data are necessary for mitigating bias in salt marsh lidar DEMs, although future work should investigate if increasing the data set size could narrow the accuracy gap. This mitigation adjustment technique can be replicated in other coastal regions with similar vegetation …
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Investigating user experience and bias mitigation of the multi-modal retrieval of historical data
… artefact data, where the data contains the bias of the curators of the artefacts and there are primary concerns surrounding the social responsibility of these systems. Historians have argued that common information retrieval algorithms may further bias results presented to users. While …
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Analysing and Mitigating Classification Bias for Text-based Foundation Models
… to spurious correlations and implicit model bias. This thesis analyses the forms of bias and spurious correlations that are present when NLP foundation models are applied to text classification tasks. We analyse particular biases present in the systems, determine what impact these biases have …