Publications by Besmira Nushi

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}