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Filtering by: Creator Martin, Olga Committee Member Fern, Xiaoli Language English [eng]

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Creator:

Yao, Yao

Abstract:

We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...

Resource Type:

Dissertation
Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

Creator:

Alsulaimawi, Zahir Ahmed Hussein

Abstract:

Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...

Resource Type:

Dissertation
New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

Creator:

Ma, Chao

Abstract:

This thesis studies the problem of structured prediction (SP), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech tagging sequence for an input sentence). Many important applications including machine translation in natural language processing (NLP) and image interpretation in computer vision can be...

Resource Type:

Dissertation