| 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 | 1627 | 2019 |
| 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 | 509 | 2016 |
| 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 | 350 | 2015 |
| 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 | 261 | 2016 |
| 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 | 201 | 2018 |
| 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 | 193 | 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 | 155 | 2018 |
| 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 | 126 | 2020 |
| Meetingcoach: An intelligent dashboard for supporting effective & inclusive meetings S Samrose, D McDuff, R Sim, J Suh, K Rowan, J Hernandez, S Rintel, ... Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 76 | 2021 |
| Affectivespotlight: Facilitating the communication of affective responses from audience members during online presentations P Murali, J Hernandez, D McDuff, K Rowan, J Suh, M Czerwinski Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 76 | 2021 |
| 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 | 61 | 2020 |
| Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications J Hernandez, J Lovejoy, D McDuff, J Suh, T O’Brien, A Sethumadhavan, ... International Conference on Affective Computing & Intelligent Interaction …, 2021 | 60 | 2021 |
| 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 | 59 | 2021 |
| AnchorViz: Facilitating classifier error discovery through interactive semantic data exploration NC Chen, J Suh, J Verwey, G Ramos, S Drucker, P Simard Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 51 | 2018 |
| 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 | 45 | 2020 |
| 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 | 45 | 2017 |
| Design of digital workplace stress-reduction intervention systems: Effects of intervention type and timing E Howe, J Suh, M Bin Morshed, D McDuff, K Rowan, J Hernandez, ... Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 33 | 2022 |
| Challenges of applying machine learning to qualitative coding N Chen, R Kocielnik, M Drouhard, V Peña-Araya, J Suh, K Cen, X Zheng, ... ACM SIGCHI Workshop on Human-Centered Machine Learning, 2016 | 33 | 2016 |
| Advancing the understanding and measurement of workplace stress in remote information workers from passive sensors and behavioral data MB Morshed, J Hernandez, D McDuff, J Suh, E Howe, K Rowan, M Abdin, ... 2022 10th International Conference on Affective Computing and Intelligent …, 2022 | 31 | 2022 |
| 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 | 30 | 2019 |
Saleema AmershiMicrosoft ResearchVerified email at microsoft.com
