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

Dimensionality Reduction Techniques for Compositional Data : An Empirical Study

Creator:: George, Rogen
Abstract:: Compositional data is a type of data where the features are non-negative and always sum to a constant. This type of data is frequently encountered in many ﬁelds such as microbiology, geology, economics and natural language processing. Compositional data has unique statistical properties that makes it difficult to apply standard...
Resource Type:: Masters Thesis
Full Text:: -PCA and CoDa Auto-encoder Avalos-Fernandez et al. [2018] and compare them on different data sets. The

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

Hierarchical graphical models for activity recognition in videos

Creator:: Amer, Mohamed R.
Abstract:: This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by variable space-time arrangements of actions, and conducted by a variable number of actors. These activities occur frequently in sports and surveillance videos. They may appear...
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

Rapid Grid State Estimation using Singular Value Decomposition

Creator:: Kulkarni, Janhavi
Abstract:: Synchrophasor technology has gained great momentum with the widely adopted concept of smart grids in power systems at transmission and generation level. This has led to an improved state estimation of a power system with the advent of Phasor Measurement Units (PMU). PMUs contribute in providing real-time information about the...
Resource Type:: Masters Thesis

Sensor Interface Circuit Design towards CMOS Scaling

Creator:: Liu, Jialin
Abstract:: Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
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

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

Dimensionality Reduction Techniques for Compositional Data : An Empirical Study

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

Towards Direct Simultaneous Speech Translation

Hierarchical graphical models for activity recognition in videos

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

Rapid Grid State Estimation using Singular Value Decomposition

Sensor Interface Circuit Design towards CMOS Scaling

High-Dimensional Reinforcement Learning with Human Feedback

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