Besmira Nushi
Besmira Nushi
Researcher, Microsoft Research
Verified email at microsoft.com
TitleCited byYear
Uncertain time-series similarity: Return to the basics
M Dallachiesa, B Nushi, K Mirylenka, T Palpanas
Proceedings of the VLDB Endowment 5 (11), 1662-1673, 2012
532012
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
332019
On human intellect and machine failures: Troubleshooting integrative machine learning systems
B Nushi, E Kamar, E Horvitz, D Kossmann
Thirty-First AAAI Conference on Artificial Intelligence, 2017
202017
Fault-tolerant entity resolution with the crowd
A Gruenheid, B Nushi, T Kraska, W Gatterbauer, D Kossmann
arXiv preprint arXiv:1512.00537, 2015
162015
Crowd access path optimization: Diversity matters
B Nushi, A Singla, A Gruenheid, E Zamanian, A Krause, D Kossmann
Third AAAI Conference on Human Computation and Crowdsourcing, 2015
162015
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
132018
Software engineering for machine learning: a case study
S Amershi, A Begel, C Bird, R DeLine, H Gall, E Kamar, N Nagappan, ...
Proceedings of the 41st International Conference on Software Engineering …, 2019
112019
Similarity matching for uncertain time series: analytical and experimental comparison
M Dallachiesa, B Nushi, K Mirylenka, T Palpanas
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and …, 2011
112011
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
92018
Learning and Feature Selection under Budget Constraints in Crowdsourcing
B Nushi, A Singla, A Krause, D Kossmann
HCOMP 2017, 2016
82016
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
GBB Nushi, E Kamar, DSWWS Lasecki, E Horvitz
AAAI, 2019
5*2019
Crowdstar: A social task routing framework for online communities
B Nushi, O Alonso, M Hentschel, V Kandylas
International Conference on Web Engineering, 219-230, 2015
42015
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
32018
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
A Peng, B Nushi, E Kiciman, K Inkpen, S Suri, E Kamar
arXiv preprint arXiv:1909.03567, 2019
2019
A Case for Backward Compatibility for Human-AI Teams
G Bansal, B Nushi, E Kamar, D Weld, W Lasecki, E Horvitz
arXiv preprint arXiv:1906.01148, 2019
2019
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
A Modi, D Dey, A Agarwal, A Swaminathan, B Nushi, S Andrist, E Horvitz
arXiv preprint arXiv:1905.05179, 2019
2019
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
GBB Nushi, E Kamar, WS Lasecki, DSWE Horvitz
2019
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
2019
A Human-in-the-loop Approach for Troubleshooting Machine Learning Systems
B Nushi, E Kamar, D Kossmann, E Horwitz
Future of Interactive Learning Machines Workshop (FILM 2016), 4, 2016
2016
Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems
B Nushi
ETH Zurich, 2016
2016
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Articles 1–20