Besmira Nushi
Besmira Nushi
Researcher, Microsoft Research
Verified email at
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
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
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
Fault-tolerant entity resolution with the crowd
A Gruenheid, B Nushi, T Kraska, W Gatterbauer, D Kossmann
arXiv preprint arXiv:1512.00537, 2015
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
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
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
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
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
Learning and Feature Selection under Budget Constraints in Crowdsourcing
B Nushi, A Singla, A Krause, D Kossmann
HCOMP 2017, 2016
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
GBB Nushi, E Kamar, DSWWS Lasecki, E Horvitz
AAAI, 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
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
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
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
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
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
GBB Nushi, E Kamar, WS Lasecki, DSWE Horvitz
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
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
Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems
B Nushi
ETH Zurich, 2016
The system can't perform the operation now. Try again later.
Articles 1–20