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
512012
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
192017
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
182019
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
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
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
102018
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
82018
Learning and Feature Selection under Budget Constraints in Crowdsourcing
B Nushi, A Singla, A Krause, D Kossmann
HCOMP 2017, 2016
82016
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
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
32019
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
GBB Nushi, E Kamar, DSWWS Lasecki, E Horvitz
AAAI, 2019
3*2019
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
22018
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
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
Access Path Design for Quality Assurance in Crowdsourcing
M Pozzetti
ETH Zürich, Department of Computer Science, 2016
2016
Cost-Efficient Querying Strategies for the Crowd
A Gruenheid, B Nushi, D Kossmann
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