What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
Her primary areas of study are World Wide Web, Visualization, The Internet, Artificial intelligence and Data visualization.
Her Participatory culture study in the realm of World Wide Web interacts with subjects such as Expression, Thriving and Context.
Her Artificial intelligence research includes themes of Machine learning and Data mining.
Fernanda B. Viégas has researched Machine learning in several fields, including Inference and Mobile device.
Her Data visualization research is multidisciplinary, incorporating elements of Citizen journalism, Tag cloud, Typography and Text mining.
Her Deep learning study combines topics in areas such as Information extraction and Distributed computing.
Her most cited work include:
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (5091 citations)
- Studying cooperation and conflict between authors with history flow visualizations (714 citations)
- Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (708 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Visualization, World Wide Web, Data visualization, Artificial intelligence and Human–computer interaction.
The Information visualization research Fernanda B. Viégas does as part of her general Visualization study is frequently linked to other disciplines of science, such as Public space, Metaphor, Government and Software deployment, therefore creating a link between diverse domains of science.
Her work on The Internet, Upload and Social data analysis as part of general World Wide Web study is frequently connected to Context and Online encyclopedia, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
As part of one scientific family, she deals mainly with the area of Data visualization, narrowing it down to issues related to the Tag cloud, and often Text mining.
Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Natural language processing.
Fernanda B. Viégas has included themes like Contextual image classification and Interpretation in her Artificial neural network study.
She most often published in these fields:
- Visualization (43.37%)
- World Wide Web (37.35%)
- Data visualization (25.30%)
What were the highlights of her more recent work (between 2018-2021)?
- Artificial intelligence (24.10%)
- Machine learning (12.05%)
- Deep learning (12.05%)
In recent papers she was focusing on the following fields of study:
Artificial intelligence, Machine learning, Deep learning, Image and Attribution are her primary areas of study.
Her Artificial intelligence research is multidisciplinary, relying on both Human–computer interaction and Search algorithm.
The Machine learning study combines topics in areas such as World Wide Web and JavaScript.
The concepts of her Deep learning study are interwoven with issues in Algorithm and Image retrieval.
Her study looks at the relationship between Image and fields such as Salience, as well as how they intersect with chemical problems.
Her studies in Data visualization integrate themes in fields like Data modeling and Interactive visualization.
Between 2018 and 2021, her most popular works were:
- Visualizing and Measuring the Geometry of BERT (146 citations)
- The What-If Tool: Interactive Probing of Machine Learning Models (94 citations)
- Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making (81 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- World Wide Web
The scientist’s investigation covers issues in Artificial intelligence, Syntax, Geometry, Linear subspace and Transformer.
Her Artificial intelligence study combines topics from a wide range of disciplines, such as Data modeling and Machine learning.
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