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

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.

Data Augmentation Knowledge Graphs

Boxer: Interactive Comparison of Classifier Results

no code implementations • 16 Apr 2020 • Michael Gleicher, Aditya Barve, Xinyi Yu, Florian Heimerl

The approach focuses on allowing the user to identify interesting subsets of training and testing instances and comparing performance of the classifiers on these subsets.

Fairness Model Selection

embComp: Visual Interactive Comparison of Vector Embeddings

no code implementations • 5 Nov 2019 • Florian Heimerl, Christoph Kralj, Torsten Möller, Michael Gleicher

Summarizing these local metrics over the embeddings provides global overviews of similarities and differences.

A User-based Visual Analytics Workflow for Exploratory Model 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.

AutoML Model Selection

FeatureForge: A Novel Tool for Visually Supported Feature Engineering and Corpus Revision

no code implementations • COLING 2012 • Florian Heimerl, Charles Jochim, Steffen Koch, Thomas Ertl

Feature Engineering

Active Learning for Coreference Resolution

no code implementations • NAACL 2012 • Florian Laws, Florian Heimerl, Hinrich Sch{\"u}tze

Active Learning coreference-resolution +2