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 19 of 19 for “"dataset generation"”.
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Privacy-Preserving Natural Language Dataset Generation
… data through these attacks, we propose the generation of private synthetic datasets to replace the original datasets in training and testing the model. These synthetic datasets will have the same semantic and statistical distribution as the original dataset, but will be differentially …
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ProgGen: Automatic Dataset Generation for the Halide Domain Specific Language
… languages rely on large real-world program datasets to train their cost models. However, cost models for domain-specific languages often have to use program generators due to a lack of large datasets of real-world programs. Program dataset generators are typically manually constructed or …
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Fast Supervised Annotation and Active Learning with Uncertainty for Cloud Mask Dataset Generation
… due to difficulty generating robust, labeled datasets for complex learners. Variation in data and diverse tasks make it difficult to both generally crowd source to build such datasets, and to offload this responsibility to the small number of expert annotators that exist. Currently, no general …
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Assessing and Improving the Representation of Hydrologic Processes in Atmospheric, Ocean, and Land Modeling and Dataset Generation
… importance, its representation in modeling and dataset generation is problematic. Here, the depiction of three phenomena, ocean surface turbulent fluxes, humidity inversions, and groundwater, are assessed, and suggestions for improvements of their representations are made. First, ocean surface …
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Visual datasets for artificial intelligence agents
… thesis, I designed and implemented two visual dataset generation tool frameworks. With these tools, I introduce procedurally generated new data to test VQA agents and other visual Al models on. The first tool is Spatial IQ Generative Dataset (SIQGD). This tool generates images based on the …
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A supervised machine learning-based framework to detect low-level fault injections in software systems
… software fault injections consisting of labelled dataset generation using an instruction-level software fault injection tool to simulate attack effects. The framework is implemented on two software systems and the results demonstrate its feasibility. The thesis explores system-level threat …
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Data curation for foundation model training
… we will examine ways to increase the quality of datasets in image-text and language domains, with a focus on dataset curation and filtering. Given the amount of readily available data on the web, these techniques can be reliably applied as methods to increase the downstream performance of models, …
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An Axiomatic Perspective on Anomaly Detection
… these experimental evaluations, a tool for dataset generation, experimentation and visualization was built, which is an additional contribution of this work.
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Affordable Quantum Chemistry via Data-Driven and Local Approximations to Non-Covalent Interactions
… open questions exist about functional forms, dataset generation, accuracy, and generalizability. In this thesis, the development of NNs specific to the prediction of long-range, non-local intermolecular interactions--which existing models are not equipped to capture--is explored. Throughout …
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Enabling Accurate and High-Throughput Kinetics Predictions via Message Passing Neural Networks
… into three main categories: 1. Large-scale dataset generation, with an emphasis on high-quality methods and reaction diversity. Although much of the presented work studies reactions in the gas phase, this thesis also contributes a large dataset calculated in many popular solvents. 2. Train …
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Information and generative deep learning with applications to medical time-series
… artefact detection, imputation and synthetic dataset generation. The latter is especially important in the future of critical care research, because of the inherent challenges in publishing clinical datasets. However, I showed that that there are many obstacles that must be addressed before …
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Development of human body pose detection algorithms for in-car scenario, and validation with suitable ground-truth system
… One of its downsides is the need for a large dataset to train, to achieve high accuracy. To allow a robust algorithmic training and validation, an algorithmic development pipeline able to generate both real and synthetic datasets in the in-car scenario needs to be established, together with …
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A fast selective grasping algorithm with deep learning and autonomous dataset creation on point cloud
… To expedite the training process, an autonomous dataset generation method is proposed. This method eliminates the need for manual annotation by autonomously generating data, and training is conducted within a simulation environment, such as Isaac Sim or any other simulation that allows object …
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User behavior pattern based security provisioning for distributed systems
… evaluate the proposed approach, a behavior-based dataset generator is developed to simulate audit logs containing designed user behavior patterns. Moreover, two real world datasets collected from distributed medical imaging systems and public cloud services are respectively applied to test the …
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emrQA: A large corpus for question answering on electronic medical records
… large-scale question answering (QA) datasets by re-purposing existing annotations for other NLP tasks. We demonstrate an instance of this methodology in generating a large-scale QA dataset for electronic medical records by leveraging existing expert annotations on clinical notes for …
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Learning to Learn Concept Descriptions
… this transformation. Since no pre-existing dataset was available to adequately train Neural Networks for this task, we designed a data generation pipeline to produce datasets to train and evaluate the architectures proposed in this thesis. These datasets provide therefore a first reference …
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Real-World Considerations for RFML Applications
… partially due to the lack of available datasets upon which to train models and understand their limitations. This thesis covers the practical considerations for systems that can create high-quality datasets for RFML tasks, how variances from real-world effects in these datasets affect …