Jina Suh
Jina Suh
Microsoft Research, University of Washington
Verified email at microsoft.com
TitleCited byYear
Modeltracker: Redesigning performance analysis tools for machine learning
S Amershi, M Chickering, SM Drucker, B Lee, P Simard, J Suh
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015
The value of semantic parse labeling for knowledge base question answering
W Yih, M Richardson, C Meek, MW Chang, J Suh
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Squares: Supporting interactive performance analysis for multiclass classifiers
D Ren, S Amershi, B Lee, J Suh, JD Williams
IEEE transactions on visualization and computer graphics 23 (1), 61-70, 2016
Guidelines for human-AI interaction
S Amershi, D Weld, M Vorvoreanu, A Fourney, B Nushi, P Collisson, ...
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 3, 2019
Machine teaching: A new paradigm for building machine learning systems
PY Simard, S Amershi, DM Chickering, AE Pelton, S Ghorashi, C Meek, ...
arXiv preprint arXiv:1707.06742, 2017
Grounding interactive machine learning tool design in how non-experts actually build models
Q Yang, J Suh, NC Chen, G Ramos
Proceedings of the 2018 Designing Interactive Systems Conference, 573-584, 2018
Ice: enabling non-experts to build models interactively for large-scale lopsided problems
P Simard, D Chickering, A Lakshmiratan, D Charles, L Bottou, ...
arXiv preprint arXiv:1409.4814, 2014
The label complexity of mixed-initiative classifier training
J Suh, X Zhu, S Amershi
International Conference on Machine Learning, 2800-2809, 2016
An XMM-Newton study of the Coronae of σ2 Coronae Borealis
JA Suh, M Audard, M Güdel, FBS Paerels
The Astrophysical Journal 630 (2), 1074, 2005
Aeonium: Visual analytics to support collaborative qualitative coding
M Drouhard, NC Chen, J Suh, R Kocielnik, V Pena-Araya, K Cen, ...
2017 IEEE Pacific Visualization Symposium (PacificVis), 220-229, 2017
Using Machine Learning to Support Qualitative Coding in Social Science: Shifting the Focus to Ambiguity
NC Chen, M Drouhard, R Kocielnik, J Suh, CR Aragon
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (2), 9, 2018
AnchorViz: Facilitating classifier error discovery through interactive semantic data exploration
NC Chen, J Suh, J Verwey, G Ramos, S Drucker, P Simard
23rd International Conference on Intelligent User Interfaces, 269-280, 2018
Challenges of applying machine learning to qualitative coding
N Chen, R Kocielnik, M Drouhard, V Peña-Araya, J Suh, K Cen, X Zheng, ...
CHI 2016 workshop on Human Centred Machine Learning, 2016
Interactive Semantic Featuring for Text Classification
C Jandot, P Simard, M Chickering, D Grangier, J Suh
arXiv preprint arXiv:1606.07545, 2016
Interactive performance visualization of multi-class classifier
SA Amershi, B Lee, J Suh, JD Williams, D Ren
US Patent 10,460,256, 2019
AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning
J Suh, S Ghorashi, G Ramos, NC Chen, S Drucker, J Verwey, P Simard
ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (1), 7, 2019
Emerging Perspectives in Human-Centered Machine Learning
G Ramos, J Suh, S Ghorashi, C Meek, R Banks, S Amershi, R Fiebrink, ...
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
The Label Complexity of Mixed-Initiative Classifier Training
J Suh, X Zhu, S Amershi
XMM-Newton Study of σ2 CrB
JA Suh, M Audard, M Güdel, F Paerels
The Astrophysical Journal 630, 1074-1087, 2005
An XMM-Newton Study of sigma 2 Coronae Borealis
JA Suh, M Audard, M Güdel
Bulletin of the American Astronomical Society 35, 1358, 2003
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