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 262 for “"Tabular"”.
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Antarctic tabular icebergs in ocean waves
… account of our existing knowledge of Antarctic tabular icebergs and their development. Data from in situ field experiments and automatic stations placed on the surface of icebergs are presented and analysed. The data comprise information on the sea state, iceberg geometry, structure and other …
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Synthesizing tabular data using conditional GAN
… the ability to model the distribution of rows in tabular data and generate realistic synthetic data enables various important applications including data compression, data disclosure, and privacy-preserving machine learning. However, because tabular data usually contains a mix of discrete and …
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Synthesizing Tabular Time Series Data using Transformers
… the protection of privacy. However, synthesizing tabular data is difficult, since it is heterogeneous and might contain relationships between its columns and between its rows. While there has been much work dedicated towards generating synthetic tabular data with independent rows based on real …
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New Approaches to Synthetic Tabular Data Generation
… explore how to generate higher-quality synthetic tabular data through the following subproblems: (1) auto-regressive DNNs for synthetic table generation (STG), (2) large language models (LLMs) for adaptive STG with higher fidelity, (3) reducing in-context learning burden in STG via LLM priors, (4) …
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BayesDB : querying the probable implications of tabular data
… users query the probable implications of their tabular data as easily as an SQL database lets them query the data itself. Using the built-in Bayesian Query Language (BQL), users with little statistics knowledge can solve basic data science problems, such as detecting predictive relationships …
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End-User Customization by Direct Manipulation of Tabular Data
Customizing software should be as easy as using it. Unfortunately, most customization methods require users to abruptly shift from using a graphical interface to writing scripts in a programming language. We introduce data-driven customization, a new way for end users to extend software by direct …
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Tabular Machine Learning on Small-Size and High-Dimensional Data
… models on small-size and high-dimensional tabular datasets. Tabular data – tables where each row represents an individual record and each column represents features – is ubiquitous in critical fields such as medicine, scientific research and finance. However, these areas often face data …
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A Topology-Guided Diffusion Process for Synthetic Tabular Data Generation
Synthesizing realistic tabular data is crucial for any analytical application, including policy evaluation related to household energy use. However, detailed household-level consumption data, necessary for such evaluation, are scare at fine geographic scales, as public surveys like the U.S. …
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Optimizing Machine Learning Performance on Tabular Clinical Data: A Pipeline Approach
… machine learning solutions for mixed-type tabular clinical data. Such datasets, prevalent in healthcare, are characterized by a complex interplay of numerical and categorical features, often leading to intricate, non-linear dependencies that hinder traditional analysis and model efficacy. …
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Artificial Neural Networks-Driven High Precision Tabular Information Extraction from Datasheets
… Most critical information is laid out in tabular format in order to provide the information in a concise manner. Extracting this critical data and providing access to the latest information can help institutions to make evidence based and data driven decisions. Assembling such data for …
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Fast Registration of Tabular Document Images Using the Fourier-Mellin Transform
… scale, translation and/or shear) that maps one tabular document image to another, using the Fourier-Mellin Transform. Each component of the affine transform is recovered independantly from the others, dramatically reducing the parameter space of the problem, and improving upon standard …
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Advances in Few-Shot Learning for Image Classification and Tabular Data
… classes from limited labelled images, and ii) tabular data, focusing on producing probabilistic predictions for multiple target variables with heterogeneous data, given only a few examples. By emphasising parameter efficiency without compromising accuracy, our contributions aim to advance …
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Developing an interactive overview for non-visual exploration of tabular numerical information
… of obtaining overview information from complex tabular numerical data sets non-visually. Blind and visually impaired people need to access and analyse numerical data, both in education and in professional occupations. Obtaining an overview is a necessary first step in data analysis, for which …
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Beam models for the hangingwall of deep, tabular excavations in stratified rock
… or stope, considered in this study is tabular. The stope occurs in stratified rock with bedding planes at approximately 1 m intervals. The height of the stope is about 1 m to 1.5 m and the length increases to over 100 m as mining progresses. Shear fractures initiate ahead of the …
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Design and Evaluation of an AI-Driven Pipeline for Synthetic Tabular Data Generation
… However, generating realistic, high-quality tabular data is a non-trivial task, particularly when the source data is incomplete and messy. This thesis addresses these challenges by developing, implementing, and rigorously evaluating an end-to-end AI-driven pipeline for generating high-quality …
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A User-Centric Tabular Multi-Column Sorting Interface For Intact Transposition Of Columnar Data
… A good example of software usability involves tabular sorting in a spreadsheet. Single-column sorting, activated with a mouse click to a column header or toolbar button, often produces rearranged listings that reduce cognitive organization beyond the sorted column. Multi-column sorting, …
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Automatic generation of test cases and anticipated test outcome based on a tabular design specification
… document where the design is specified using a tabular notation. This specification is sufficiently detailed to enable execution by a machine. The tool generates a set of test cases and the anticipated test outcome for each test case by executing the tabular specification. Tabular specification …
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Numerical Modelling of Seismic Activity at Tabular Orebody Mines in South Africa using the Boundary Element Method
The deep gold mines that extract the tabular orebodies of the Witwatersrand Basin in South Africa are generally considered to have the highest seismic hazard in the world, and large seismic events at these mines often produce strong ground vibrations that pose risks of damage to mining excavations, …
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