Jina Suh
Jina Suh
Microsoft Research, University of Washington
Verified email at microsoft.com
Title
Cited by
Cited by
Year
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 …, 2019
4672019
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
2282015
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
1952016
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
1482016
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
1132017
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
822018
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), 1-20, 2018
652018
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
312018
The label complexity of mixed-initiative classifier training
J Suh, X Zhu, S Amershi
International Conference on Machine Learning, 2800-2809, 2016
232016
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
232014
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
222017
Interactive machine teaching: a human-centered approach to building machine-learned models
G Ramos, C Meek, P Simard, J Suh, S Ghorashi
Human–Computer Interaction 35 (5-6), 413-451, 2020
212020
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
182016
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
152005
Design and evaluation of intelligent agent prototypes for assistance with focus and productivity at work
T Grover, K Rowan, J Suh, D McDuff, M Czerwinski
Proceedings of the 25th International Conference on Intelligent User …, 2020
132020
others. 2019. 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 …, 0
11
Population-scale study of human needs during the covid-19 pandemic: Analysis and implications
J Suh, E Horvitz, RW White, T Althoff
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
82021
Parallel Journeys of Patients with Cancer and Depression: Challenges and Opportunities for Technology-Enabled Collaborative Care
J Suh, S Williams, JR Fann, J Fogarty, AM Bauer, G Hsieh
Proceedings of the ACM on Human-computer Interaction 4 (CSCW1), 1-36, 2020
72020
Interactive performance visualization of multi-class classifier
SA Amershi, B Lee, J Suh, JD Williams, D Ren
US Patent 10,460,256, 2019
72019
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), 1-38, 2019
72019
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