| Large margin methods for structured and interdependent output variables. I Tsochantaridis, T Joachims, T Hofmann, Y Altun, Y Singer Journal of machine learning research 6 (9), 2005 | 2722 | 2005 |
| Support vector machine learning for interdependent and structured output spaces I Tsochantaridis, T Hofmann, T Joachims, Y Altun Proceedings of the twenty-first international conference on Machine learning …, 2004 | 1807 | 2004 |
| Relative entropy policy search J Peters, K Mulling, Y Altun Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1607-1612, 2010 | 821 | 2010 |
| Hidden markov support vector machines Y Altun, I Tsochantaridis, T Hofmann Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 689 | 2003 |
| Transfer learning in brain-computer interfaces V Jayaram, M Alamgir, Y Altun, B Scholkopf, M Grosse-Wentrup IEEE Computational Intelligence Magazine 11 (1), 20-31, 2016 | 457 | 2016 |
| Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger M Ciaramita, Y Altun Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006 | 294 | 2006 |
| Multitask learning for brain-computer interfaces M Alamgir, M Grosse–Wentrup, Y Altun Proceedings of the thirteenth international conference on artificial …, 2010 | 207 | 2010 |
| Overcoming the lack of parallel data in sentence compression K Filippova, Y Altun Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 194 | 2013 |
| Unifying divergence minimization and statistical inference via convex duality Y Altun, A Smola International Conference on Computational Learning Theory, 139-153, 2006 | 169 | 2006 |
| Discovering emerging entities with ambiguous names J Hoffart, Y Altun, G Weikum Proceedings of the 23rd international conference on World wide web, 385-396, 2014 | 157 | 2014 |
| Maximum margin semi-supervised learning for structured variables Y Altun, D McAllester, M Belkin Advances in neural information processing systems 18, 2005 | 137 | 2005 |
| Learning similarity measure for multi-modal 3D image registration D Lee, M Hofmann, F Steinke, Y Altun, ND Cahill, B Scholkopf 2009 IEEE Conference on Computer Vision and Pattern Recognition, 186-193, 2009 | 103 | 2009 |
| Gaussian process classification for segmenting and annotating sequences Y Altun, T Hofmann, AJ Smola Proceedings of the twenty-first international conference on Machine learning, 4, 2004 | 86 | 2004 |
| Reading comprehension programs in a statistical-language-processing class E Charniak, Y Altun, R de Salvo Braz, B Garrett, M Kosmala, T Moscovich, ... ANLP-NAACL 2000 Workshop: Reading Comprehension Tests as Evaluation for …, 2000 | 84 | 2000 |
| Using conditional random fields to predict pitch accents in conversational speech M Gregory, Y Altun Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 76 | 2004 |
| Investigating loss functions and optimization methods for discriminative learning of label sequences Y Altun, M Johnson, T Hofmann Proceedings of the 2003 Conference on Empirical Methods in Natural Language …, 2003 | 71 | 2003 |
| Inferring latent task structure for multitask learning by multiple kernel learning C Widmer, NC Toussaint, Y Altun, G Rätsch BMC bioinformatics 11, 1-8, 2010 | 69 | 2010 |
| Deplot: One-shot visual language reasoning by plot-to-table translation F Liu, JM Eisenschlos, F Piccinno, S Krichene, C Pang, K Lee, M Joshi, ... arXiv preprint arXiv:2212.10505, 2022 | 67 | 2022 |
| Exponential families for conditional random fields Y Altun, A Smola, T Hofmann arXiv preprint arXiv:1207.4131, 2012 | 66 | 2012 |
| Leveraging sequence classification by taxonomy-based multitask learning C Widmer, J Leiva, Y Altun, G Rätsch Research in Computational Molecular Biology: 14th Annual International …, 2010 | 66 | 2010 |
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