| 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 | 931 | 2019 |
| 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 | 754 | 2019 |
| Does the whole exceed its parts? the effect of ai explanations on complementary team performance G Bansal, T Wu, J Zhou, R Fok, B Nushi, E Kamar, MT Ribeiro, D Weld Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 260 | 2021 |
| Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance G Bansal, B Nushi, E Kamar, WS Lasecki, DSWE Horvitz | 250 | 2019 |
| Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff G Bansal, B Nushi, E Kamar, DSWWS Lasecki, E Horvitz AAAI, 2019 | 208 | 2019 |
| Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure B Nushi, E Kamar, E Horvitz AAAI Conference on Human Computation and Crowdsourcing, 2018 | 119 | 2018 |
| On human intellect and machine failures: Troubleshooting integrative machine learning systems B Nushi, E Kamar, E Horvitz, D Kossmann Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 86 | 2017 |
| Is the most accurate ai the best teammate? optimizing ai for teamwork G Bansal, B Nushi, E Kamar, E Horvitz, DS Weld Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11405 …, 2021 | 78 | 2021 |
| Uncertain time-series similarity: Return to the basics M Dallachiesa, B Nushi, K Mirylenka, T Palpanas arXiv preprint arXiv:1208.1931, 2012 | 72 | 2012 |
| Squinting at vqa models: Introspecting vqa models with sub-questions RR Selvaraju, P Tendulkar, D Parikh, E Horvitz, MT Ribeiro, B Nushi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 48 | 2020 |
| Characterizing the internet research agency’s social media operations during the 2016 US presidential election using linguistic analyses RL Boyd, A Spangher, A Fourney, B Nushi, G Ranade, J Pennebaker, ... PsyArXiv, 2018 | 43 | 2018 |
| Understanding failures of deep networks via robust feature extraction S Singla, B Nushi, S Shah, E Kamar, E Horvitz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42 | 2021 |
| What you see is what you get? the impact of representation criteria on human bias in hiring A Peng, B Nushi, E Kıcıman, K Inkpen, S Suri, E Kamar Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 35 | 2019 |
| An empirical analysis of backward compatibility in machine learning systems M Srivastava, B Nushi, E Kamar, S Shah, E Horvitz Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 32 | 2020 |
| Overcoming blind spots in the real world: Leveraging complementary abilities for joint execution R Ramakrishnan, E Kamar, B Nushi, D Dey, J Shah, E Horvitz Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6137-6145, 2019 | 29 | 2019 |
| Crowd access path optimization: Diversity matters B Nushi, A Singla, A Gruenheid, E Zamanian, A Krause, D Kossmann Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015 | 28 | 2015 |
| Fault-tolerant entity resolution with the crowd A Gruenheid, B Nushi, T Kraska, W Gatterbauer, D Kossmann arXiv preprint arXiv:1512.00537, 2015 | 25 | 2015 |
| Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017 A Spangher, G Ranade, B Nushi, A Fourney, E Horvitz arXiv preprint arXiv:1810.10033, 2018 | 24 | 2018 |
| Learning and Feature Selection under Budget Constraints in Crowdsourcing B Nushi, A Singla, A Krause, D Kossmann HCOMP 2017, 2016 | 18 | 2016 |
| Who goes first? Influences of human-AI workflow on decision making in clinical imaging R Fogliato, S Chappidi, M Lungren, P Fisher, D Wilson, M Fitzke, ... 2022 ACM Conference on Fairness, Accountability, and Transparency, 1362-1374, 2022 | 15 | 2022 |
Eric HorvitzMicrosoft ResearchVerified email at microsoft.com
