Generative model based resource efficient monitoring is an emerging data collection technique that has been shown to have compression ratio of around 40 in simulation environment on medical grade data from MIT BIH dat...
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Since its inception, web application development has undergone constant evolution, and with it the evolution of the web application software developer. Developers are increasingly specialized in the frameworks and too...
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In this work we describe the system from Natural Language Processing group at Arizona State University for the TextGraphs 2019 Shared Task. The task focuses on Explanation Regeneration, an intermediate step towards ge...
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In Model Based Development (MBD) of embedded systems, it is often desirable to not only verify/falsify certain formal system specifications, but also to automatically explore the properties that the system satisfies. ...
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Social media services have become a prominent source of research data for both academia and corporate applications. Data from social media services is easy to obtain, highly structured, and comprises opinions from a l...
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Social media is becoming popular as a key source of information on disasters and crisis situations. Humanitarian Aid and Disaster Relief (HADR) respondents can gain valuable insights and situational awareness by monit...
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My research broadly lies within the area of computational technologies for learning, specifically focused on how technologies can be designed and applied to be more effective in computer science education. The core re...
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From self-supervised, vision-only models to contrastive visual-language frameworks, computational pathology has rapidly evolved in recent years. Generative AI "co-pilots" now demonstrate the ability to mine ...
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The Extended Ant Colony Optimization (EACO) metaheuristic is applied to the problem of Metric Temporal Logic (MTL) falsification of nonautonomous hybrid systems. The goal of the MTL falsification problem is to detect ...
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We conduct an eye tracking study to investigate perception text-embellished narrative visualizations under different task *** stimuli are data visualizations embellished with text-based elements:annotations,captions,l...
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We conduct an eye tracking study to investigate perception text-embellished narrative visualizations under different task *** stimuli are data visualizations embellished with text-based elements:annotations,captions,labels,and descriptive *** consider three common viewing tasks that occur when these types of graphics are viewed:(1)simple observation,(2)active search to answer a query,and(3)information memorization for later *** overarching goal is to understand,at a perceptual level,if and how task affects how these visualizations are interacted *** analyzing collected gaze data and conducting advanced semantic scanpath analysis,we find,at a high level,diverse patterns of gaze behavior:simple observation and information memorization lead to similar optical viewing strategies,while active search significantly diverges,both in regards to which areas of the visualization are focused upon and how often embellishments are interacted *** discuss study outcomes in the context of embellishing visualizations with text for various usage scenarios.
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