| Domain generalization by marginal transfer learning G Blanchard, AA Deshmukh, Ü Dogan, G Lee, C Scott The Journal of Machine Learning Research 22 (1), 46-100, 2021 | 155 | 2021 |
| A Unified View on Multi-class Support Vector Classification. Ü Dogan, T Glasmachers, C Igel J. Mach. Learn. Res. 17 (45), 1-32, 2016 | 105 | 2016 |
| Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior Ü Dogan, J Edelbrunner, I Iossifidis 2011 IEEE International Conference on Robotics and Biomimetics, 1837-1843, 2011 | 90 | 2011 |
| Multi-task learning for contextual bandits AA Deshmukh, U Dogan, C Scott Advances in Neural Information Processing Systems, 4848-4856, 2017 | 76 | 2017 |
| Multi-class svms: From tighter data-dependent generalization bounds to novel algorithms Y Lei, U Dogan, A Binder, M Kloft Advances in neural information processing systems 28, 2015 | 55 | 2015 |
| Data-dependent generalization bounds for multi-class classification Y Lei, Ü Dogan, DX Zhou, M Kloft IEEE Transactions on Information Theory 65 (5), 2995-3021, 2019 | 53 | 2019 |
| Accelerated coordinate descent with adaptive coordinate frequencies T Glasmachers, U Dogan Asian Conference on Machine Learning, 72-86, 2013 | 43 | 2013 |
| Towards a driver model: Preliminary study of lane change behavior U Dogan, H Edelbrunner, I Iossifidis 2008 11th International IEEE Conference on Intelligent Transportation …, 2008 | 38 | 2008 |
| Extensions of stability selection using subsamples of observations and covariates A Beinrucker, Ü Dogan, G Blanchard Statistics and Computing 26, 1059-1077, 2016 | 27 | 2016 |
| A generalization error bound for multi-class domain generalization AA Deshmukh, Y Lei, S Sharma, U Dogan, JW Cutler, C Scott arXiv preprint arXiv:1905.10392, 2019 | 25 | 2019 |
| Decoding multitask dqn in the world of minecraft LT Liu, U Dogan, K Hofmann The 13th European Workshop on Reinforcement Learning (EWRL) 2016, 2016 | 19 | 2016 |
| Zero shot domain generalization U Maniyar, AA Deshmukh, U Dogan, VN Balasubramanian arXiv preprint arXiv:2008.07443, 2020 | 17 | 2020 |
| Fast training of multi-class support vector machines Ü Dogan, T Glasmachers, C Igel Department of Computer Science, University of Copenhagen, 2011 | 16 | 2011 |
| Localized multiple kernel learning—a convex approach Y Lei, A Binder, U Dogan, M Kloft Asian Conference on Machine Learning, 81-96, 2016 | 15 | 2016 |
| Consensus clustering with unsupervised representation learning JR Regatti, AA Deshmukh, E Manavoglu, U Dogan 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 13 | 2021 |
| Distributed optimization of multi-class SVMs M Alber, J Zimmert, U Dogan, M Kloft PloS one 12 (6), e0178161, 2017 | 13 | 2017 |
| Label-similarity curriculum learning Ü Dogan, AA Deshmukh, MB Machura, C Igel Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| Theory and Algorithms for the Localized Setting of Learning Kernels MK Yunwen Lei, Alexander Binder, Urün Dogan JMLR: Workshop and Conference Proceedings 44, 173-195, 2015 | 11* | 2015 |
| A Simple Extension of Stability Feature Selection. A Beinrucker, Ü Dogan, G Blanchard DAGM/OAGM Symposium, 256-265, 2012 | 11 | 2012 |
| Estimating bandwidth in a network CA Rödbro, PA Chou, U Dogan US Patent 9,444,714, 2016 | 10 | 2016 |
Aniket Anand DeshmukhMicrosoftVerified email at umich.edu
