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Advance : adversarial collaborative learning for detection and verification of artificially created examples
(University of Missouri--Columbia, 2023)
regarding the authenticity of information consumed by the general public, exemplified by the prevalence of deepfakes. Consequently, various approaches have been proposed to detect adversarial generated data, aiming to address this challenge. However, a...
Clinical content tracking system: an efficient request tracking via a graphical user interface
(University of Missouri--Columbia, 2007)
. Moreover, a working product can be made of a request in a relatively faster pace. CCTS, the ability of gathering, computing and analyzing data with just a few clicks is very feasible. This will facilitate gathering information and transform data...
Mining progressive user behavior for e-commerce using virtual reality technique
(University of Missouri--Columbia, 2007)
behavior through VR tools, and 3) vast amount of information to mine and efficient summarization of the results to guide user's navigation. To overcome these obstacles, several techniques from the fields of Information Retrieval and Data Mining & Knowledge...
Dashboard design and usability study for geospatially enabled information seeking to assist pandemic response and resilience
(University of Missouri--Columbia, 2021)
Counties in Missouri are primarily rural. Rural communities often consist of individuals with poor health, lower economic status, and lack of public health infrastructure. During the COVID- 19 pandemic, most research was centered around urban...
Content extraction, analysis, and retrieval for plant visual traits studies
(University of Missouri--Columbia, 2008)
In recent years, automatic content extraction, analysis and retrieval for plant visual trait studies play a more important role than ever before, because traditional manual processing suffers two major issues: excessive ...
Knowledge-driven multidimensional indexing for content-based information retrieval
(University of Missouri--Columbia, 2008)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Media data are being generated at rates unimaginable only years ago. We face challenges in providing efficient and accurate access to media content, ...
Temporal mining framework for risk reduction and early detection of chronic diseases
(University of Missouri--Columbia, 2010)
Chronic diseases significantly affect the quality of life of over 25 million Americans and are among the most common health problems. Due to the complexity of these diseases, it is difficult for clinicians to analyze trends ...
Domain-concept mining : an efficient on-demand data mining approach
(University of Missouri--Columbia, 2008)
Traditional brute-force association mining approaches, when applied to large datasets, are thorough but inefficient due to computational complexity. A low global minimum probability threshold can worsen this complexity by ...
Explainable cohort discoveries driven by exploratory data mining and efficient risk pattern detection
(University of Missouri--Columbia, 2022)
stage. The development of machine learning and data mining algorithms sheds light on many areas. However, most high-performing approaches do not provide the interpretability for eXplainable artificial intelligence (XAI). These black box approaches often...