Alessandra Marli M. Morais

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Web-based citizen science projects collect logs of interactions between volunteers and project websites. In this article, the authors present visualization techniques that can be used to infer volunteer behavior in such projects, using the Galaxy Zoo astronomy citizen science project as a test case. This information could be used to shed light on why(More)
One of the most used neural network model for clustering data is the Self-Organizing Map (SOM). Over the years, it has been applied in many areas, from computing to biology, and therefore a wide range of data types have been considered. Originally, the SOM was developed to take real-valued data into account. Thus, learning other data types, such as binary(More)
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