Articles with public access mandates - Minsuk KahngLearn more
Available somewhere: 28
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
F Hohman, M Kahng, R Pienta, DH Chau
IEEE Transactions on Visualization and Computer Graphics 25 (8), 2674-2693, 2019
Mandates: US National Science Foundation, US National Institutes of Health, US …
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
M Kahng, P Andrews, A Kalro, DH Chau
IEEE Transactions on Visualization and Computer Graphics 24 (1), 88-97, 2018
Mandates: US National Science Foundation
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
IEEE Transactions on Visualization and Computer Graphics 27 (2), 1396-1406, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
ÁA Cabrera, W Epperson, F Hohman, M Kahng, J Morgenstern, DH Chau
2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 46-56, 2019
Mandates: US National Science Foundation, US National Aeronautics and Space Administration
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
M Kahng, N Thorat, DH Chau, FB Viégas, M Wattenberg
IEEE Transactions on Visualization and Computer Graphics 25 (1), 310-320, 2019
Mandates: US National Science Foundation
Visual Exploration of Machine Learning Results using Data Cube Analysis
M Kahng, D Fang, DH Chau
Proceedings of the Workshop on Human-In-the-Loop Data Analytics (Co-located …, 2016
Mandates: US National Science Foundation
MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mapping
Z Lin, M Kahng, KM Sabrin, DHP Chau, H Lee, U Kang
IEEE International Conference on Big Data, 2014
Mandates: US National Institutes of Health
A visual analytics approach to understanding care process variation and conformance
RC Basole, H Park, M Gupta, ML Braunstein, DH Chau, ...
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare, 1-8, 2015
Mandates: US National Institutes of Health
GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration
CD Stolper, M Kahng, Z Lin, F Foerster, A Goel, J Stasko, DH Chau
IEEE Transactions on Visualization and Computer Graphics 20 (12), 2320-2328, 2014
Mandates: US National Institutes of Health
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
D Bertucci, MM Hamid, Y Anand, A Ruangrotsakun, D Tabatabai, M Perez, ...
IEEE Transactions on Visualization and Computer Graphics 29 (1), 320-330, 2022
Mandates: US National Science Foundation, US Department of Defense, US Department of …
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
V Shitole, F Li, M Kahng, P Tadepalli, A Fern
Advances in Neural Information Processing Systems 34, 11352-11363, 2021
Mandates: US National Science Foundation, US Department of Defense
Chronodes: Interactive Multifocus Exploration of Event Sequences
PJ Polack Jr, ST Chen, M Kahng, KD Barbaro, R Basole, M Sharmin, ...
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (1), 2:1-2:21, 2018
Mandates: US National Institutes of Health
CNN 101: Interactive visual learning for convolutional neural networks
ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ...
Extended abstracts of the 2020 CHI conference on human factors in computing …, 2020
Mandates: US National Science Foundation, US Department of Defense, US National …
TimeStitch: Interactive Multi-focus Cohort Discovery and Comparison
PJ Polack Jr, ST Chen, M Kahng, M Sharmin, DH Chau
IEEE Conference on Visual Analytics Science and Technology (VAST), 209-210, 2015
Mandates: US National Institutes of Health
Finding AI’s Faults with AAR/AI: An Empirical Study
R Khanna, J Dodge, A Anderson, R Dikkala, J Irvine, Z Shureih, K Lam, ...
ACM Transactions on Interactive Intelligent Systems (TiiS) 12 (1), 1-33, 2022
Mandates: US National Science Foundation, US Department of Defense, US Department of …
Contrastive Identification of Covariate Shift in Image Data
ML Olson, TV Nguyen, G Dixit, N Ratzlaff, WK Wong, M Kahng
IEEE Visualization Conference (VIS), 2021
Mandates: US Department of Defense
From “No Clear Winner” to an Effective XAI Process: An Empirical Journey
J Dodge, A Anderson, R Khanna, J Irvine, R Dikkala, KH Lam, ...
Applied AI Letters 2 (4), e36, 2021
Mandates: US Department of Defense
Constructing compact and effective graphs for recommender systems via node and edge aggregations
S Lee, M Kahng, S Lee
Expert Systems with Applications, 2014
Mandates: US Department of Energy
Towards Scalable Graph Computation on Mobile Devices
Y Chen, Z Lin, R Pienta, M Kahng, DH Chau
The 2nd Workshop on Scalable Machine Learning: Theory and Applications, 2014
Mandates: US National Institutes of Health
mHealth Visual Discovery Dashboard
D Fang, F Hohman, P Polack, H Sarker, M Kahng, M Sharmin, M al'Absi, ...
Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017
Mandates: US National Science Foundation, US National Institutes of Health
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