Search Results for author: Shah Rukh Humayoun

Found 4 papers, 1 papers with code

MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes

no code implementations9 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.

Classification

Circles: Inter-Model Comparison of Multi-Classification Problems with High Number of Classes

no code implementations8 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.

Classification

CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs

1 code implementation7 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.

Data Augmentation Knowledge Graphs

A User-based Visual Analytics Workflow for Exploratory Model Analysis

no code implementations27 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.

AutoML Model Selection

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