The Computing and Information Sciences Program is a PhD program housed in the B. Thomas Golisano College of Computing and Information Sciences.

Dates of Existence

2006-present

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Documents from 2017

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Election-Attack Complexity for More Natural Models, Zack Fitzsimmons

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Discovering a Domain Knowledge Representation for Image Grouping: Multimodal Data Modeling, Fusion, and Interactive Learning, Xuan Guo

Documents from 2016

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Understanding the Impact of Diversity in Software Bugs on Bug Prediction Models, Harold Valdivia-Garcia

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Bayesian Inference with Combined Dynamic and Sparsity Models: Application in 3D Electrophysiological Imaging, Jingjia Xu

Documents from 2015

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The Role of Situation Awareness Metrics in the Assessment of Indoor Orientation Assistive Technologies that Aid Blind Individuals in Unfamiliar Indoor Environments, Abdulrhman A. Alkhanifer

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Effects of Virtual Humans’ Facial Emotional Displays on Persuasion, Yuqiong Wang

Documents from 2014

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Probabilistic Modeling and Inference for Obfuscated Network Attack Sequences, Haitao Du

Documents from 2013

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Joint optimization of manifold learning and sparse representations for face and gesture analysis, Raymond Ptucha

Documents from 2012

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Solving hard problems in election systems, Andrew Lin

Documents from 2010

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From medical images to individualized cardiac mechanics: A Physiome approach, Chun Wong

Documents from 2009

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Intelligent deployment strategies for passive underwater sensor networks, Erik Golen

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Personalized noninvasive imaging of volumetric cardiac electrophysiology, Linwei Wang