Index Catalog // ScholarsArchive@OSU

Representationally Robust and Scalable Learning over Relational Databases

Creator:: Picado Leiva, Jose Manuel
Abstract:: Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Jose Manuel Picado Leiva

A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

Creator:: Azzouni, Abdullah
Abstract:: Continuous Improvement (CI) of academic computing programs is a main requirement of accreditation. Academic computing programs must have a well-documented CI plan in order to be granted accreditation. Based on the existing literature, we developed a comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty, research,...
Resource Type:: Dissertation

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:: Wei, Qi
Abstract:: Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
Resource Type:: Dissertation

Towards Direct Simultaneous Speech Translation

Creator:: Chen, Junkun
Abstract:: Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
Resource Type:: Dissertation

One-to-many node disjoint paths routing in generalized hypercube, dense Gaussian, and hexagonal mesh networks

Creator:: Alsaleh, Omar I.
Abstract:: Routing from a single source node to multiple destination nodes using node disjoint paths (NDP) has many important applications in parallel systems. For example, if a source node wants to send distinct messages to distinct destination nodes, then the one-to-many NDP routing is useful. Unlike parallel systems with shared-memory, each...
Resource Type:: Dissertation

High-Dimensional Reinforcement Learning with Human Feedback

Creator:: Curran, William
Abstract:: State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
Resource Type:: Dissertation

Enhancing Search-Based Techniques with Information Control Dependencies

Creator:: Aburas, Ali
Abstract:: Software testing is a very important task during software development and it can be used to improve the quality and reliability of the software system. One potential way to reduce the cost and increase the efficiency of software testing is to generate test data automatically. Search-based approaches successfully generate unit...
Resource Type:: Dissertation

Topics in toroidal interconnection networks

Creator:: Broeg, Robert Richard
Resource Type:: Dissertation

Variational Satisfiability Solving

Creator:: Young, Jeffrey M.
Abstract:: Over the last two decades, satisfiability and satisfiability-modulo theory (SAT/SMT) solvers have grown powerful enough to be general purpose reasoning engines throughout software engineering and computer science. However, most practical use cases of SAT/SMT solvers require not just solving a single SAT/SMT problem, but solving sets of related SAT/SMT problems....
Resource Type:: Dissertation

Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

Creator:: Ghadakchi, Vahid
Abstract:: Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
Resource Type:: Dissertation
Full Text:: particular Jose Picado from whom I learned a lot. I would also like to acknowledge OSU’s Engineering IT

ScholarsArchive@OSU

Representationally Robust and Scalable Learning over Relational Databases

A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Towards Direct Simultaneous Speech Translation

One-to-many node disjoint paths routing in generalized hypercube, dense Gaussian, and hexagonal mesh networks

High-Dimensional Reinforcement Learning with Human Feedback

Enhancing Search-Based Techniques with Information Control Dependencies

Topics in toroidal interconnection networks

Variational Satisfiability Solving

Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

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