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Full-Text Articles in Physical Sciences and Mathematics
A Computational Framework For Learning From Complex Data: Formulations, Algorithms, And Applications, Wenlu Zhang
A Computational Framework For Learning From Complex Data: Formulations, Algorithms, And Applications, Wenlu Zhang
Computer Science Theses & Dissertations
Many real-world processes are dynamically changing over time. As a consequence, the observed complex data generated by these processes also evolve smoothly. For example, in computational biology, the expression data matrices are evolving, since gene expression controls are deployed sequentially during development in many biological processes. Investigations into the spatial and temporal gene expression dynamics are essential for understanding the regulatory biology governing development. In this dissertation, I mainly focus on two types of complex data: genome-wide spatial gene expression patterns in the model organism fruit fly and Allen Brain Atlas mouse brain data. I provide a framework to explore …
Machine Learning Methods For Brain Image Analysis, Ahmed Fakhry
Machine Learning Methods For Brain Image Analysis, Ahmed Fakhry
Computer Science Theses & Dissertations
Understanding how the brain functions and quantifying compound interactions between complex synaptic networks inside the brain remain some of the most challenging problems in neuroscience. Lack or abundance of data, shortage of manpower along with heterogeneity of data following from various species all served as an added complexity to the already perplexing problem. The ability to process vast amount of brain data need to be performed automatically, yet with an accuracy close to manual human-level performance. These automated methods essentially need to generalize well to be able to accommodate data from different species. Also, novel approaches and techniques are becoming …