no code implementations • 9 Sep 2023 • Syed Ahsan Ali Dilawer, Shah Rukh Humayoun
Visual exploration of multi-classification models with large number of classes would help machine learning experts in identifying the root cause of a problem that occurs during learning phase such as miss-classification of instances.
no code implementations • 8 Sep 2023 • Nina Mir, Ragaad Altarawneh, Shah Rukh Humayoun
The recent advancements in machine learning have motivated researchers to generate classification models dealing with hundreds of classes such as in the case of image datasets.
1 code implementation • 7 Sep 2020 • Dylan Cashman, Shenyu Xu, Subhajit Das, Florian Heimerl, Cong Liu, Shah Rukh Humayoun, Michael Gleicher, Alex Endert, Remco Chang
In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis.
no code implementations • 27 Sep 2018 • Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John Stasko, Alex Endert, Michael Gleicher, Remco Chang
We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.