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Computer Science and Engineering: Theses, Dissertations, and Student Research

Classification

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Deep Learning And Transfer Learning In The Classification Of Eeg Signals, Jacob M. Williams Aug 2017

Deep Learning And Transfer Learning In The Classification Of Eeg Signals, Jacob M. Williams

Computer Science and Engineering: Theses, Dissertations, and Student Research

Deep learning is seldom used in the classification of electroencephalography (EEG) signals, despite achieving state of the art classification accuracies in other spatial and time series data. Instead, most research has continued to use manual feature extraction followed by a traditional classifier, such as SVMs or logistic regression. This is largely due to the low number of samples per experiment, high-dimensional nature of the data, and the difficulty in finding appropriate deep learning architectures for classification of EEG signals. In this thesis, several deep learning architectures are compared to traditional techniques for the classification of visually evoked EEG signals. We ...


Classification For Mass Spectra And Comprehensive Two-Dimensional Chromatograms, Xue Tian Aug 2011

Classification For Mass Spectra And Comprehensive Two-Dimensional Chromatograms, Xue Tian

Computer Science and Engineering: Theses, Dissertations, and Student Research

Mass spectra contain characteristic information regarding the molecular structure and properties of compounds. The mass spectra of compounds from the same chemically related group are similar. Classification is one of the fundamental methodologies for analyzing mass spectral data. The primary goals of classification are to automatically group compounds based on their mass spectra, to find correlation between the properties of compounds and their mass spectra, and to provide a positive identification of unknown compounds.

This dissertation presents a new algorithm for the classification of mass spectra, the most similar neighbor with a probability-based spectrum similarity measure (MSN-PSSM). Experimental results demonstrate ...