Adaptive cluster ensemble selection. J Azimi, XZ Fern Ijcai 9, 992-997, 2009 | 131 | 2009 |
Active learning of constraints for semi-supervised clustering S Xiong, J Azimi, XZ Fern IEEE Transactions on Knowledge and Data Engineering 26 (1), 43-54, 2013 | 110 | 2013 |
Batch bayesian optimization via simulation matching J Azimi, A Fern, XZ Fern Advances in Neural Information Processing Systems, 109-117, 2010 | 81 | 2010 |
Multimedia features for click prediction of new ads in display advertising H Cheng, R Zwol, J Azimi, E Manavoglu, R Zhang, Y Zhou, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 78 | 2012 |
Hybrid batch Bayesian optimization J Azimi, A Jalali, X Fern arXiv preprint arXiv:1202.5597, 2012 | 53 | 2012 |
Multimedia features for click prediction of new advertisements H Cheng, R van Zwol, J Azimi, E Manavoglu, R Zhang, Y Zhou, ... US Patent App. 13/528,484, 2013 | 39 | 2013 |
Batch active learning via coordinated matching J Azimi, A Fern, X Zhang-Fern, G Borradaile, B Heeringa arXiv preprint arXiv:1206.6458, 2012 | 35 | 2012 |
The impact of visual appearance on user response in online display advertising J Azimi, R Zhang, Y Zhou, V Navalpakkam, J Mao, X Fern proceedings of the 21st international conference on World Wide Web, 457-458, 2012 | 30 | 2012 |
Clustering ensembles using genetic algorithm J Azimi, M Mohammadi, M Analoui 2006 International Workshop on Computer Architecture for Machine Perception …, 2006 | 30 | 2006 |
A new efficient approach in clustering ensembles J Azimi, M Abdoos, M Analoui International Conference on Intelligent Data Engineering and Automated …, 2007 | 27 | 2007 |
Visual appearance of display ads and its effect on click through rate J Azimi, R Zhang, Y Zhou, V Navalpakkam, J Mao, X Fern Proceedings of the 21st ACM international conference on Information and …, 2012 | 23 | 2012 |
Clustering ensembles using ants algorithm J Azimi, P Cull, X Fern International Work-Conference on the Interplay Between Natural and …, 2009 | 20 | 2009 |
Budgeted Optimization with Concurrent Stochastic-Duration Experiments. J Azimi, A Fern, XZ Fern NIPS, 1098-1106, 2011 | 13 | 2011 |
Myopic policies for budgeted optimization with constrained experiments J Azimi, X Fern, A Fern, E Burrows, F Chaplen, Y Fan, H Liu, J Jaio, ... Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010 | 10 | 2010 |
Ads keyword rewriting using search engine results J Azimi, A Alam, R Zhang Proceedings of the 24th International Conference on World Wide Web, 3-4, 2015 | 9 | 2015 |
Automatic keywords generation for contextual advertising P Liu, J Azimi, R Zhang Proceedings of the 23rd International Conference on World Wide Web, 345-346, 2014 | 9 | 2014 |
A lipschitz exploration-exploitation scheme for Bayesian optimization A Jalali, J Azimi, X Fern, R Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 9 | 2013 |
A new efficient fuzzy diversity measure in classifier fusion A Golestani, J Azimi, M Analoui, M Kangavari Proceedings of the IADIS Conference, 722-726, 2007 | 8 | 2007 |
Budgeted optimization with constrained experiments J Azimi, X Fern, A Fern Journal of Artificial Intelligence Research 56, 119-152, 2016 | 6 | 2016 |
Contextual query intent extraction for paid search selection P Liu, J Azimi, R Zhang Proceedings of the 24th International Conference on World Wide Web, 71-72, 2015 | 6 | 2015 |