Kanit Wongsuphasawat

schoolApplebar_chart#2989 Global Rank

Total Papers

HCI Rank

#2989

Research Areas

Years Active

Recent Publications

Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels

The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances. We conduct formative research with machine learning practitioners at Apple and find that conventional confu…

UIST '205th+ AuthorInteractive Data Visualization +2

mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks

We aim to increase the flexibility at which a data worker can choose the right tool for the job, regardless of whether the tool is a code library or an interactive graphical user interface (GUI). To achieve this flexibility, we extend computational notebooks with a new API mage, which supports tools that can represent…

CHI '202nd AuthorInteractive Data Visualization +1

Understanding and Visualizing Data Iteration in Machine Learning

Successful machine learning (ML) applications require iterations on both modeling and the underlying data. While prior visualization tools for ML primarily focus on modeling, our interviews with 23 ML practitioners reveal that they improve model performance frequently by iterating on their data (e.g., collecting new d…

CHI '202nd AuthorInteractive Data Visualization +2

Tempura: Query Analysis with Structural Templates

Analyzing queries from search engines and intelligent assistants is difficult. A key challenge is organizing queries into interpretable, context-preserving, representative, and flexible groups. We present structural templates, abstract queries that replace tokens with their linguistic feature forms, as a query groupin…

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