| 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 | 1293 | 2019 |
| Power to the people: The role of humans in interactive machine learning S Amershi, M Cakmak, WB Knox, T Kulesza AI magazine 35 (4), 105-120, 2014 | 1126 | 2014 |
| Software engineering for machine learning: A case study S Amershi, A Begel, C Bird, R DeLine, H Gall, E Kamar, N Nagappan, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 1002 | 2019 |
| 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 | 322 | 2015 |
| CoSearch: a system for co-located collaborative web search S Amershi, MR Morris Proceedings of the SIGCHI conference on human factors in computing systems …, 2008 | 311 | 2008 |
| Revolt: Collaborative crowdsourcing for labeling machine learning datasets JC Chang, S Amershi, E Kamar Proceedings of the 2017 CHI conference on human factors in computing systems …, 2017 | 294 | 2017 |
| Will you accept an imperfect ai? exploring designs for adjusting end-user expectations of ai systems R Kocielnik, S Amershi, PN Bennett Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 254 | 2019 |
| 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 | 240 | 2016 |
| Combining unsupervised and supervised classification to build user models for exploratory learning environments S Amershi, C Conati Journal of educational data mining 1 (1), 18-71, 2009 | 230 | 2009 |
| Using related users data to enhance web search MJ Morris, JB Teevan, JW Mickens, S Amershi US Patent 8,244,721, 2012 | 204 | 2012 |
| Using related users data to enhance web search MJ Morris, JB Teevan, JW Mickens, S Amershi US Patent 8,244,721, 2012 | 204 | 2012 |
| Using related users data to enhance web search MJ Morris, JB Teevan, JW Mickens, S Amershi US Patent 8,244,721, 2012 | 204 | 2012 |
| Regroup: Interactive machine learning for on-demand group creation in social networks S Amershi, J Fogarty, D Weld Proceedings of the SIGCHI conference on human factors in computing systems …, 2012 | 194 | 2012 |
| 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 | 181 | 2017 |
| Human-centred machine learning M Gillies, R Fiebrink, A Tanaka, J Garcia, F Bevilacqua, A Heloir, ... Proceedings of the 2016 CHI conference extended abstracts on human factors …, 2016 | 168 | 2016 |
| Structured labeling for facilitating concept evolution in machine learning T Kulesza, S Amershi, R Caruana, D Fisher, D Charles Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014 | 166* | 2014 |
| Designing for effective end-user interaction with machine learning S Amershi Proceedings of the 24th annual ACM symposium adjunct on User interface …, 2011 | 122 | 2011 |
| FeatureInsight: Visual support for error-driven feature ideation in text classification M Brooks, S Amershi, B Lee, SM Drucker, A Kapoor, P Simard 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 105-112, 2015 | 101 | 2015 |
| Intelligence in wikipedia DS Weld, F Wu, E Adar, S Amershi, J Fogarty, R Hoffmann, K Patel, ... In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 08 …, 2008 | 85 | 2008 |
| Amplifying community content creation with mixed initiative information extraction R Hoffmann, S Amershi, K Patel, F Wu, J Fogarty, DS Weld Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2009 | 78 | 2009 |
