Search Results - "Viegas, Fernanda B"

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  1. 1

    GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation by Kahng, Minsuk, Thorat, Nikhil, Chau, Duen Horng, Viegas, Fernanda B., Wattenberg, Martin

    “…Recent success in deep learning has generated immense interest among practitioners and students, inspiring many to learn about this new technology. While…”
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    Journal Article
  2. 2

    Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow by Wongsuphasawat, Kanit, Smilkov, Daniel, Wexler, James, Wilson, Jimbo, Mane, Dandelion, Fritz, Doug, Krishnan, Dilip, Viegas, Fernanda B., Wattenberg, Martin

    “…We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow machine intelligence platform. This tool helps users understand complex…”
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    Journal Article
  3. 3

    Participatory Visualization with Wordle by Viegas, F.B., Wattenberg, M., Feinberg, J.

    “…We discuss the design and usage of ldquoWordle,rdquo a Web-based tool for visualizing text. Wordle creates tag-cloud-like displays that give careful attention…”
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    Journal Article
  4. 4

    Bloggers' Expectations of Privacy and Accountability:
An Initial Survey by Viegas, Fernanda B

    Published in Journal of computer-mediated communication (01-04-2005)
    “…This article presents an initial snapshot, based on an online survey of weblog authors, of bloggers' subjective sense of privacy, and of their perceptions of…”
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    Journal Article
  5. 5

    The Word Tree, an Interactive Visual Concordance by Wattenberg, M., Viegas, F.B.

    “…We introduce the Word Tree, a new visualization and information-retrieval technique aimed at text documents. A Word Tree is a graphical version of the…”
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    Journal Article
  6. 6

    Mapping Text with Phrase Nets by van Ham, F., Wattenberg, M., Viegas, F.B.

    “…We present a new technique, the phrase net, for generating visual overviews of unstructured text. A phrase net displays a graph whose nodes are words and whose…”
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    Journal Article
  7. 7

    Talk Before You Type: Coordination in Wikipedia by Viegas, Fernanda B., Wattenberg, Martin, Kriss, Jesse, van Ham, Frank

    “…Wikipedia, the online encyclopedia, has attracted attention both because of its popularity and its unconventional policy of letting anyone on the Internet edit…”
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    Conference Proceeding
  8. 8

    ManyEyes: a Site for Visualization at Internet Scale by Viegas, F.B., Wattenberg, M., van Ham, F., Kriss, J., McKeon, M.

    “…We describe the design and deployment of Many Eyes, a public Web site where users may upload data, create interactive visualizations, and carry on discussions…”
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    Journal Article
  9. 9

    Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage  of Visualization Tools by Viegas, Fernanda B., Wattenberg, Martin, McKeon, Matt, van Ham, Frank, Kriss, Jesse

    “…This paper is a report on early user activity in Many Eyes, a public web site where users may upload data, create visualizations, and carry on discussions…”
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    Conference Proceeding
  10. 10

    Guest Editors' Introduction: Collaborative Visualization by van Ham, Frank, Viegas, Fernanda B.

    Published in IEEE computer graphics and applications (01-09-2009)
    “…This article introduces a special issue on collaborative visualization. The articles in this issue present ongoing research, covering topics ranging from…”
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    Magazine Article
  11. 11

    Relational Composition in Neural Networks: A Survey and Call to Action by Wattenberg, Martin, Viégas, Fernanda B

    Published 19-07-2024
    “…Many neural nets appear to represent data as linear combinations of "feature vectors." Algorithms for discovering these vectors have seen impressive recent…”
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    Journal Article
  12. 12

    Newsgroup Crowds and AuthorLines: visualizing the activity of individuals in conversational cyberspaces by Viegas, F.B., Smith, M.

    “…We discuss the design, implementation and evaluation of two related visualizations of authors' activities in Usenet newsgroups. Current Usenet news browsers…”
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    Conference Proceeding
  13. 13

    The Visual Side of Wikipedia by Viegas, F.B.

    “…The name "Wikipedia" has been associated with terms such as collaboration, volunteers, reliability, vandalism, and edit-war. Fewer people might think of…”
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    Conference Proceeding
  14. 14

    Artifacts of the Presence Era: Using Information Visualization to Create an Evocative Souvenir by Viegas, F.B., Perry, E., Howe, E., Donath, J.

    “…We present Artifacts of the Presence Era, a digital installation that uses a geological metaphor to visualize the events in a physical space over time. The…”
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    Conference Proceeding
  15. 15

    Parallel Tag Clouds to explore and analyze faceted text corpora by Collins, C., Viegas, F.B., Wattenberg, M.

    “…Do court cases differ from place to place? What kind of picture do we get by looking at a country's collection of law cases? We introduce parallel tag clouds:…”
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    Conference Proceeding
  16. 16

    Digital artifacts for remembering and storytelling: posthistory and social network fragments by Viegas, F.B., Boyd, D., Nguyen, D.H., Potter, J., Donath, J.

    “…As part of a long-term investigation into visualizing email, we have created two visualizations of email archives. One highlights social networks while the…”
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    Conference Proceeding
  17. 17

    Direct-Manipulation Visualization of Deep Networks by Smilkov, Daniel, Carter, Shan, Sculley, D, Viégas, Fernanda B, Wattenberg, Martin

    Published 12-08-2017
    “…The recent successes of deep learning have led to a wave of interest from non-experts. Gaining an understanding of this technology, however, is difficult…”
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    Journal Article
  18. 18

    Embedding Projector: Interactive Visualization and Interpretation of Embeddings by Smilkov, Daniel, Thorat, Nikhil, Nicholson, Charles, Reif, Emily, Viégas, Fernanda B, Wattenberg, Martin

    Published 16-11-2016
    “…Embeddings are ubiquitous in machine learning, appearing in recommender systems, NLP, and many other applications. Researchers and developers often need to…”
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    Journal Article
  19. 19

    TensorFlow.js: Machine Learning for the Web and Beyond by Smilkov, Daniel, Thorat, Nikhil, Assogba, Yannick, Yuan, Ann, Kreeger, Nick, Yu, Ping, Zhang, Kangyi, Cai, Shanqing, Nielsen, Eric, Soergel, David, Bileschi, Stan, Terry, Michael, Nicholson, Charles, Gupta, Sandeep N, Sirajuddin, Sarah, Sculley, D, Monga, Rajat, Corrado, Greg, Viégas, Fernanda B, Wattenberg, Martin

    Published 16-01-2019
    “…TensorFlow.js is a library for building and executing machine learning algorithms in JavaScript. TensorFlow.js models run in a web browser and in the Node.js…”
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    Journal Article
  20. 20