Publications by Besmira Nushi

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2017

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California, USA., February 2017
@inproceedings{abc,
	author = {Besmira Nushi and Ece Kamar and Eric Horvitz and Donald Kossmann},
	booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence},
	title = {On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.},
	url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/15032},
	venue = {San Francisco, California, USA.},
	year = {2017}
}

2016

CoRR, January 2016
@article{abc,
	author = {Besmira Nushi and Ece Kamar and Eric Horvitz and Donald Kossmann},
	journal = {CoRR},
	title = {On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.},
	url = {http://arxiv.org/abs/1611.08309},
	year = {2016}
}

2015

Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015, San Diego, California., November 2015
@inproceedings{abc,
	author = {Besmira Nushi and Adish Singla and Anja Gruenheid and Erfan Zamanian and Andreas Krause and Donald Kossmann},
	booktitle = {Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015},
	title = {Crowd Access Path Optimization: Diversity Matters.},
	url = {http://www.aaai.org/ocs/index.php/HCOMP/HCOMP15/paper/view/11577},
	venue = {San Diego, California.},
	year = {2015}
}
CoRR, August 2015
@article{abc,
	author = {Besmira Nushi and Adish Singla and Anja Gruenheid and Erfan Zamanian and Andreas Krause and Donald Kossmann},
	journal = {CoRR},
	title = {Crowd Access Path Optimization: Diversity Matters.},
	url = {http://arxiv.org/abs/1508.01951},
	year = {2015}
}
Engineering the Web in the Big Data Era - 15th International Conference, ICWE 2015, Rotterdam, The Netherlands, June 2015
The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.
@inproceedings{abc,
	abstract = {The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.},
	author = {Besmira Nushi and Omar Alonso and Martin Hentschel and Vasileios Kandylas},
	booktitle = {Engineering the Web in the Big Data Era - 15th International Conference, ICWE 2015},
	title = {CrowdSTAR: A Social Task Routing Framework for Online Communities.},
	url = {http://dx.doi.org/10.1007/978-3-319-19890-3_15},
	venue = {Rotterdam, The Netherlands},
	year = {2015}
}

2014

CoRR, -, January 2014
The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.
@inproceedings{abc,
	abstract = {The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.},
	author = {Besmira Nushi and Omar Alonso and Martin Hentschel and Vasileios Kandylas},
	booktitle = {CoRR},
	title = {CrowdSTAR: A Social Task Routing Framework for Online Communities.},
	url = {http://arxiv.org/abs/1407.6714},
	venue = {-},
	year = {2014}
}

2013

Bulletin of the EATCS, January 2013
@article{abc,
	author = {Anja Gruenheid and Donald Kossmann and Besmira Nushi and Yuri Gurevich},
	journal = {Bulletin of the EATCS},
	title = {When is A=B?},
	url = {http://eatcs.org/beatcs/index.php/beatcs/article/view/206},
	year = {2013}
}