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    AuthorAshayer, Alireza (1)Gudivada, Akhil (1)Khademorezaian, Kasra (1)Khanal, Rabindra (1)Lakshminarayana, Deepthi Hassan (1)Locklear, Trina Kay (1)Maleki Shoja, Babak (1)Pala, Venkatesh Reddy (1)Patel, Himaniben P (1)Patel, Vishwa (1)... View MoreSubjectMachine learning (7)Big data (2)Blockchains (Databases) (2)deep learning (2)adversarial machine learning (1)algorithms (1)Archival Document Processing (1)Archival materials--Digitization (1)autoencoder (1)Automatic abstracting (1)... View MoreDate Issued
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    MACHINE LEARNING BASED MEDICAL INFORMATION RETRIEVAL SYSTEMS 

    Gudivada, Akhil (East Carolina University, 2019-04-23)
    As many fields progress with the assistance of cognitive computing, the field of health care is also adapting, providing many benefits to all users. However, advancements in this area are hindered by several challenges ...
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    Personality assessment from social media data: An ensemble model 

    Taghikhani, Shahin (East Carolina University, 2019-05-01)
    The global prevalence of social media encourages people to upload and share a vast and recurrent amount of information about themselves through various mediums of communication such as text, pictures, audio, and video. ...
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    Modeling and Prediction of Cryptocurrency Prices Using Machine Learning Techniques 

    Ashayer, Alireza (East Carolina University, 2019-05-01)
    With the introduction of Bitcoin in the year 2008 as the first practical decentralized cryptocurrency, the interest in cryptocurrencies and their underlying technology, Blockchain, has skyrocketed. Their promise of security, ...
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    Software Technology Maturation and Software Security 

    Locklear, Trina Kay (East Carolina University, 2019-08-05)
    Software technology maturation, also referred to as technology transfer, is as difficult as it is rare, mostly because of the time scale involved. Software maturation is defined as the process of taking a piece of technology ...
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    Archival Document Processing using Cognitive Computing 

    Patel, Himaniben P (East Carolina University, 2019-07-22)
    The world, as we know it, is constructed in the form of knowledge. Our ancestors have passed their experiences to the next generation over time using handwritten documents. Although these old manuscripts are still available ...
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    Performance Analysis of Extractive Text Summarization 

    Patel, Vishwa (East Carolina University, 2019-07-22)
    In this era, data is increasing exponentially, and it is crucial for people to keep up with all of this information. The information is available in several different forms such as news articles, online blogs, etc., many ...
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    CUSTOMER REVENUE PREDICTION FROM GEOGRAPHICAL DATA 

    Khademorezaian, Kasra (East Carolina University, 2019-07-22)
    Online stores have created more opportunities for firms to offer different products and services to their customers. These online stores produce a tremendous amount of data that serve different purposes, including revenue ...
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    DYNAMIC DEFENSES AND THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES 

    Thomas, Sam (East Carolina University, 2019-05-02)
    Adversarial machine learning has been an important area of study for the securing of machine learning systems. However, for every defense that is made to protect these artificial learners, a more sophisticated attack emerges ...
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    CUSTOMER REVIEWS ANALYSIS WITH DEEP NEURAL NETWORKS FOR E-COMMERCE RECOMMENDER SYSTEMS 

    Maleki Shoja, Babak (East Carolina University, 2019-07-17)
    The first part of this thesis systematically reviews the trend of researches conducted from 2011 to 2018 in terms of challenges and problems regarding developing a recommendation system, areas of application, proposed ...
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    POSTGRESQL AS A MULTI-MODEL DATABASE 

    Khanal, Rabindra (East Carolina University, 2019-07-26)
    Data is being generated at unprecedented volume and speed, which is popularly known as Big Data. Most of this data is unstructured and requires natural language processing and information retrieval techniques to extract ...
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