Ece Kamar
Ece Kamar
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Combining human and machine intelligence in large-scale crowdsourcing.
E Kamar, S Hacker, E Horvitz
AAMAS 12, 467-474, 2012
4112012
Machine behaviour
I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ...
Nature 568 (7753), 477-486, 2019
3682019
Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
Stanford University, 2016
2832016
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
2582019
Artificial intelligence and life in 2030
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 …, 2016
2332016
Collaboration and shared plans in the open world: Studies of ridesharing
E Kamar, E Horvitz
Twenty-First International Joint Conference on Artificial Intelligence, 2009
1762009
Interpretable & explorable approximations of black box models
H Lakkaraju, E Kamar, R Caruana, J Leskovec
arXiv preprint arXiv:1707.01154, 2017
1752017
Volunteering versus work for pay: Incentives and tradeoffs in crowdsourcing
A Mao, E Kamar, Y Chen, E Horvitz, ME Schwamb, CJ Lintott, AM Smith
First AAAI conference on human computation and crowdsourcing, 2013
1332013
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
1282017
Identifying unknown unknowns in the open world: Representations and policies for guided exploration
H Lakkaraju, E Kamar, R Caruana, E Horvitz
Thirty-first aaai conference on artificial intelligence, 2017
1202017
Faithful and customizable explanations of black box models
H Lakkaraju, E Kamar, R Caruana, J Leskovec
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 131-138, 2019
1142019
Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence.
E Kamar
IJCAI, 4070-4073, 2016
992016
Interactive teaching strategies for agent training
O Amir, E Kamar, A Kolobov, B Grosz
922016
Toward a learning science for complex crowdsourcing tasks
S Doroudi, E Kamar, E Brunskill, E Horvitz
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
772016
Why stop now? predicting worker engagement in online crowdsourcing
A Mao, E Kamar, E Horvitz
First AAAI Conference on Human Computation and Crowdsourcing, 2013
752013
Incentives for truthful reporting in crowdsourcing.
E Kamar, E Horvitz
AAMAS 12, 1329-1330, 2012
752012
Beyond accuracy: The role of mental models in human-AI team performance
G Bansal, B Nushi, E Kamar, WS Lasecki, DS Weld, E Horvitz
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019
692019
Updates in human-ai teams: Understanding and addressing the performance/compatibility tradeoff
G Bansal, B Nushi, E Kamar, DS Weld, WS Lasecki, E Horvitz
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2429-2437, 2019
652019
Identifying and accounting for task-dependent bias in crowdsourcing
E Kamar, A Kapoor, E Horvitz
Third AAAI Conference on Human Computation and Crowdsourcing, 2015
642015
Information extraction and manipulation threats in crowd-powered systems
WS Lasecki, J Teevan, E Kamar
Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014
622014
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