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 566 for “"black-box"”.
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Innovation and institutions: Examining the black box
<p>This dissertation contributes to the literature by investigating the links between institutions and innovation from both a theoretical and an empirical standpoint. Specifically, this dissertation (i) develops a theoretical growth model that explicitly accounts for the influences of institutions …
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Black-box printer models and their applications
… development. All these models are referred to as Black Box Model (BBM) since they are based solely on measuring what is on the printed page, and do not incorporate any information about the marking process itself. We developed two different types of printer models Standard Definition (SD) BBM and …
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Opening the Black Box: Understanding Adult Inpatient Falls
<p>Within the United States, falls are the largest category of adverse events reported in hospitals. Injuries associated with falls include increased costs, extended length of stays, increased mortality and morbidity, and liability to hospitals. The purpose of this study was to discover, describe, …
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Unravelling black box machine learning methods using biplots
… is currently limited because they are seen as “black box” models, which gives predictions without justifications and which are therefore not understood and cannot be trusted. The goal of this dissertation is to expand on the theory and use of biplots to visualise the impact of the various input …
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Surrogate modeling for large-scale black-box systems
… method to reduce the complexity of large-scale blackbox systems for which the governing equations are unavailable. For such systems, surrogate models are critical for many applications, such as Monte Carlo simulations; however, existing surrogate modeling methods often are not applicable, …
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Automated and Provable Privatization for Black-Box Processing
… that models leakage as the output of a black-box processing function and produces rigorous privacy analysis based entirely on end-to-end simulation. At a high level, we demonstrate the following results: Given access to the underlying black-box secret generation, through mechanized …
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Interpreting black-box models through sufficient input subsets
… the field a reputation of producing opaque, "black-box" models. While deep neural networks are often able to achieve superior predictive accuracy over traditional models, the functions and representations they learn are usually highly nonlinear and difficult to interpret. This lack of …
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Efficient and Robust Black-box Integral-approximation and Optimization
Black-box optimization and black-box integral approximation are important techniques for machine learning, industrial design, and simulation in science. This thesis investigates black-box integral approximation and black-box optimization by considering the closed relationship between them. For …
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Techniques for Interpretability and Transparency of Black-Box Models
The last decade witnessed immense progress in machine learning, which has been deployed in many domains such as healthcare, finance and justice. However, recent advances are largely powered by deep neural networks, whose opacity hinders people's ability to inspect these models. Furthermore, legal …
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Adaptive algorithms for problems involving black-box Lipschitz functions
Suppose we are given a black-box evaluator (an oracle that returns the function value at a given point) for a Lipschitz function with a known Lipschitz constant. We consider queries that can be answered about the function by using a finite number of black-box evaluations. Specifically, we study the …
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Scalable black-box model explainability through low-dimensional visualizations
… to provide visual intuitive explanations for how black-box models work. The first is a projection pursuit-based method that seeks to provide data-point specific explanations. The second is a generalized additive model approach that seeks to explain the model on a more holistic level, enabling …
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Explaining Black-Box Classifiers by Implicitly Learning Decision Trees
… of objects that explain the classification of a black-box model f : {±1}^d → {±1} on an instance x ∈ {±1}^d . The first is a certificate: a small set of x’s features that in conjunction essentially determines f(x). The second is a counterfactual: a nearest instance x′ for which f(x′) ≠ f(x). We …
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Black-Box Fuzzing of the REDHAWK Software Communications Architecture
As the complexity of software increases, so does the complexity of software testing. This challenge is especially true for modern military communications as radio functionality becomes more digital than analog. The Software Communications Architecture was introduced to manage the increased …
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System Level Black-Box Models for DC-DC Converters
The aim of this work is to develop a two-port black-box dc-dc converter modeling methodology for system level simulation and analysis. The models do not require any information about the components, structure, or control parameters of the converter. Instead, all the information needed to build the …
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Working Inside the Black Box: Refinement of Pre-Existing Skills
This thesis aimed to address and inform the gap in current sport psychology/coaching research, knowledge and practice related to the implementation of technical refinement in already learnt, well-established and self-paced skills. This was achieved through a series of studies conducted within golf. …
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Black Box Modeling of Passive Systems by Rational Function Approximation
… phase, all pass, and delay (MAD) method for black-box modeling is proposed and validated. Using this method, a black-box system is modeled as three parts, a minimum phase subsystem, an all-pass subsystem, and a delay term. Since this model precisely capture the physical characteristics of …
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A data-driven method for improving a black-box controller
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Probing the black box : experiments in design and design education
Conventional analysis and design methods based on preexisting methods and assumptions preconditions and limits the designer's level of engagement with the specific context that is under investigation. A structural analysis is concerned with the disclosure of [subconscious] tendencies and agendas …
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