Author: Pinar Donmez

Publications

Publication period start: 2012
Number of co-authors: 9

Co-authors

Number of publications with favourite co-authors
Olivier Chapelle
1
Emre Velipasaoglu
1
Jaime G. Carbonell
2

Productive Colleagues

Most productive colleagues in number of publications
Emre Velipasaoglu
6
Jaime G. Carbonell
15
Ronny Lempel
23

Publications

Donmez, Pinar, Carbonell, Jaime G. (2008): Proactive learning: cost-sensitive active learning with multiple imperfect oracles. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun, Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 619-628. https://doi.acm.org/10.1145/1458082.1458165

Donmez, Pinar, Svore, Krysta M., Burges, Christopher J. C. (2009): On the local optimality of LambdaRank. In: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2009, . pp. 460-467. https://doi.acm.org/10.1145/1571941.1572021

Donmez, Pinar, Carbonell, Jaime G. (2009): Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. In: Boughanem, Mohand, Berrut, Catherine, Mothe, Josiane, Soulé-Dupuy, Chantal (eds.) Advances in Information Retrieval - 31th European Conference on IR Research - ECIR 2009 April 6-9, 2009, 2009, Toulouse, France. pp. 78-89. https://dx.doi.org/10.1007/978-3-642-00958-7_10

Bortnikov, Edward, Donmez, Pinar, Kagian, Amit, Lempel, Ronny (2012): Modeling transactional queries via templates. In: Proceedings of the 2012 BCS-IRSG European Conference on Information Retrieval , 2012, . pp. 13-24. https://dx.doi.org/10.1007/978-3-642-28997-2_2

Ozertem, Umut, Chapelle, Olivier, Donmez, Pinar, Velipasaoglu, Emre (2012): Learning to suggest: a machine learning framework for ranking query suggestions. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2012, . pp. 25-34. https://dx.doi.org/10.1145/2348283.2348290

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