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Visualization of recommendation system results in a relation-preserving space
(University of Missouri--Columbia, 2012)
When searching for content within a very large data set, a recommendation system is commonly used to target the most relevant information for a user. Large amounts of resources have been poured into the development of ...
Development of KBCommons : universal informatics framework for multi-omics translational research
(University of Missouri--Columbia, 2017)
Multi-level 'OMICS' data integration for multiple organisms has been one of the major challenges in the era of advanced next generation sequencing and high performance technologies. Biological data has been producing ...
Defining the undefinedness of C11 : practical semantics-based program analysis
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis extends the work of Ellison and Ros,u [13, 12] but focuses on the "negative" semantics of the C11 language--the semantics required to not ...
Significance linked connected component analysis plus
(University of Missouri--Columbia, 2018)
An image coding algorithm, SLCCA Plus, is introduced in this dissertation. SLCCA Plus is a wavelet-based subband coding method. In wavelet-based subband coding, the input images will go through a wavelet transform and be ...
Virtual web for PageRank computing
(University of Missouri--Columbia, 2018)
The enormous size and fast-evolving nature of World-Wide-Web has been demanding an even more efficient PageRank updating algorithm. Web evolution may involve two kinds: (1) link structure modification; (2) page insertion/deletion. ...
Multi-cloud performance and security driven federated workflow management
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In recent years, most scientific research in both academia and industry has become increasingly data-driven. According to market estimates, spending ...
Analysis of host-pathogen interactions via clustering, statistical analysis, and data visualization
(University of Missouri--Columbia, 2015)
Infectious diseases are caused by a variety of agents: viruses, bacteria, parasites, or even proteins. Using existing state-of-the-art methods and tools I developed myself, I studied aspects of infectious agents. To find ...
Genome data analysis, protein function and structure prediction by machine learning techniques
(University of Missouri--Columbia, 2016)
The raw information of a typical human genome has been generated at 2001 by Human Genome Project. However, since there are a huge amount of data, it is still a big challenge for people to understand them, and extract useful ...
Probabilistic graphical models for protein structure prediction
(University of Missouri--Columbia, 2016)
Computationally predicting the folded and functional three-dimensional structure of a protein molecule from its amino acid sequence with high degree of accuracy is critically important in structural bioinformatics and has ...
Multi-scale target detection based on morphological shared-weight neural network
(University of Missouri--Columbia, 2017)
Convolutional Neural Networks (CNN) are a popular neural network structure for image based applications. This thesis discusses an alternative network, the morphological shared-weight neural network (MSNN) for object ...
Out-of-core image techniques with extensions for WAMI
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Out-of-core image techniques provide for interactive visualization, analysis, and processing of extremely large images exceeding primary memory. This ...
Machine-aided analysis of vote privacy using computationally complete symbolic attacker
(University of Missouri--Columbia, 2019)
Security protocols employ cryptographic primitives such as encryption and digital signatures to provide security guarantees of confidentiality and authenticity in the presence of malicious attackers. Due to the complexities ...
Deep learning based nuclei detection for quantitative histopathology image analysis
(University of Missouri--Columbia, 2016)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Quantitative analysis of histopathology images is important for both clinical purposes (e.g. to reduce/eliminate inter- and intra-observer variations ...
Distributed frequent hierarchical pattern mining for robust and efficient large-scale association discovery
(University of Missouri--Columbia, 2017)
Frequent pattern mining is a classic data mining technique, generally applicable to a wide range of application domains, and a mature area of research. The fundamental challenge arises from the combinatorial nature of ...
Permutation compression with applications to genomic data
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] High Sequencing Technology generates data at an increasing rate. The technology is used widely in molecular biology. Technologies similar to this are ...
Relative depth estimation from single monocular images with deep convolutional network
(University of Missouri--Columbia, 2017)
Depth estimation from single monocular images is a theoretical challenge in computer vision as well as a computational challenge in practice. This thesis addresses the problem of depth estimation from single monocular ...
Local and deep texture features for classification of natural and biomedical images
(University of Missouri--Columbia, 2019)
Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image ...
The study of privacy issues in the use of cloud storage
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Cloud Computing has become increasingly popular with both consumers and businesses. Consumers use cloud provider offerings to store files, share content ...
Fuzzy-based conversational recommender for data-intensive science gateway applications
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Neuro-scientists are increasingly relying on parallel and distributed computing resources for analysis and visualization of their neuron simulations. ...
Privacy preservation in mobile social networks
(University of Missouri--Columbia, 2019)
In this day and age with the prevalence of smartphones, networking has evolved in an intricate and complex way. With the help of a technology-driven society, the term "social networking" was created and came to mean using ...