activity
20202023
most citedCNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

341 citations · 487 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.CL2020★ 3 cited

Examining the Ordering of Rhetorical Strategies in Persuasive Requests

Omar Shaikh, Jiaao Chen, Jon Saad-Falcon +2

Interpreting how persuasive language influences audiences has implications across many domains like advertising, argumentation, and propaganda. Persuasion relies on more than a mes…

cs.DL2020

Mapping Researchers with PeopleMap

Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang +3

Discovering research expertise at universities can be a difficult task. Directories routinely become outdated, and few help in visually summarizing researchers' work or supporting…

cs.HC2020★ 8 cited

Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers

Siwei Li, Zhiyan Zhou, Anish Upadhayay +7

Graph data have become increasingly common. Visualizing them helps people better understand relations among entities. Unfortunately, existing graph visualization tools are primaril…

cs.DL2020★ 3 cited

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing

Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang +3

Discovering research expertise at institutions can be a difficult task. Manually curated university directories easily become out of date and they often lack the information necess…

cs.HC2020★ 341 cited

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Zijie J. Wang, Robert Turko, Omar Shaikh +5

Deep learning's great success motivates many practitioners and students to learn about this exciting technology. However, it is often challenging for beginners to take their first…

cs.HC2020★ 26 cited

CNN 101: Interactive Visual Learning for Convolutional Neural Networks

Zijie J. Wang, Robert Turko, Omar Shaikh +5

The success of deep learning solving previously-thought hard problems has inspired many non-experts to learn and understand this exciting technology. However, it is often challengi…

cs.CL2020★ 3 cited

RECAST: Interactive Auditing of Automatic Toxicity Detection Models

Austin P. Wright, Omar Shaikh, Haekyu Park +5

As toxic language becomes nearly pervasive online, there has been increasing interest in leveraging the advancements in natural language processing (NLP), from very large transform…