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.
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Showing 1 to 20 of 36 for “"debiasing"”.
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Debiasing reasoning : a signal detection analysis
This thesis focuses on deductive reasoning and how the belief bias effect can be reduced or ameliorated. Belief bias is a phenomenon whereby the evaluation of the logical validity of an argument is skewed by the degree to which the reasoner believes the conclusion. There has been little research …
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Unsupervised Latent Debiasing of Time-Series Models
… using existing biased datasets. However, most debiasing techniques rely on explicit labels that encapsulate the bias, such as pairs of words along some worrying axis of bias such as race or gender for language models. We propose an unsupervised latent debiasing training regimen based on [2] …
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Debiasing Cyber Incidents – Correcting for Reporting Delays and Under-reporting
<p>This research addresses two key problems in the cyber insurance industry – reporting delays and under-reporting of cyber incidents. Both problems are important to understand the true picture of cyber incident rates. While reporting delays addresses the problem of delays in reporting due to …
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Social stereotypes in text-to-image generation: Examining user perceptions and debiasing strategies
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Emotion and the Tripartite Emotion-functioning Capacities in Debiasing Sunk-cost Fallacy: A Trait-level Review
… and three emotion-functioning capacities in debiasing sunk-cost fallacy at trait-level. An online survey was used to study 378 US adults and found that dispositional positive and negative affectivity, trait-mindfulness, trait-EI and reappraisal were associated with debiasing sunk-cost …
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Understanding Persuasive Communication: The Role of Heuristic Thinking, Context, and Debiasing in the Evaluation of Online Political Information
… contexts (i.e., a “cognitive scarcity” and a “debiasing” one, in which heuristic thinking and analytic reasoning were prompted respectively). Findings highlighted that both message features and the cognitive context in which evaluation is performed affect the likelihood of considering political …
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The financial planning journey: a grounded theory towards bias mitigation
… potential that financial advice may have toward debiasing investors. Debiasing investors has the potential to positively influence investor welfare and improving individuals' financial decisions has the potential to extend its positive effects on a broader scale. For instance, the South African …
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Achieving Health Equity: Mitigating Implicit Bias Among Healthcare Professionals
… through increased awareness and evidence-based debiasing strategies. The purpose of this project was to develop a didactic and experiential curriculum for healthcare professionals interested in deepening their understanding of implicit bias in health care and how to mitigate the impact in their …
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Analysing and Mitigating Classification Bias for Text-based Foundation Models
… systems. However, by considering reweighting debiasing schemes, we demonstrate that both zero-resource and our proposed unsupervised reweighting debiasing yield more robust performance and reduce the sensitivity to the choice of label words. Further, we illustrate that when …
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Multi-user detection for multi-rate DS/CDMA systems
… introduced in order to get better performance. A debiasing method is introduced to multi-rate multi-shot linear detectors. Debiasing method optimizes multi-rate detectors based on the multi-rate multi-shot model. Debiasing multi-shot MMSE detector for multi-rate signals can offer performance than …
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The Extended Preferred Ordering Theorem for Radar Tracking Using the Extended Kalman Filter
… course, some techniques have been proposed for "debiasing" them and making their mean squared errors "consistent" with the covariance matrices determined by the tracking filter. It is shown here, however, that the leading one for debiasing the LKF can make the biases worse; and a remedy for that …
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Language-Centric Medical Image Understanding
… and textual descriptions, (2) an adaptive debiasing method that uses language prior to improve the robustness of learning algorithms under noisy supervision, and (3) a novel approach for calibrating linguistic expressions of diagnostic certainty, enabling more reliable communication of …
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Corporate decision analysis : an engineering approach
… Grounded on the work of scholars, we develop a debiasing process for eliciting data. And consistent with our engineering approach, we consider the composite consisting of the organization, their knowledge, data bases, formal and informal procedures as a measurement system. We then use Gage …
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I-Con: A Unifying Framework for Representation Learning
… that I-Con can be used to derive principled debiasing methods which improve contrastive representation learners.
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Machine Learning for Causal Estimation
… requiring explicit characterizations of the debiasing terms, allowing for seamless integration with any ML algorithm. We extend the framework to generalized regressions, including high-dimensional generalized linear models (GLMs). To illustrate its practical value, we apply Riesz regression …
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Particle Filtering for Continuous Time Problems
… chapters. In Chapter 3, we introduce a novel debiasing particle filtering algorithm for a class of continuous-time diffusion processes observed through a Cox process, and show that the algorithm is unbiased in the continuous-time limit. In Chapter 4, we apply this debiasing approach within the …
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RESPONSIBLE AI GOVERNANCE: BALANCING THE GOALS OF BIAS MITIGATION AND PRIVACY PROTECTION THROUGH TRANSPARENCY
… focus: the interplay between the goals of debiasing AI systems and safeguarding privacy. While the development and use of AI systems offer significant benefits, they also present serious risks, including data-driven bias that reinforces social inequalities and improper data handling that …
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