| Adversarial Cost-Sensitive Classification. K Asif, W Xing, S Behpour, BD Ziebart UAI, 92-101, 2015 | 44 | 2015 |
| ARC: Adversarial robust cuts for semi-supervised and multi-label classification S Behpour, W Xing, B Ziebart AAAI Conference on Artificial Intelligence, 2704--2711, 2018 | 13 | 2018 |
| Efficient and consistent adversarial bipartite matching R Fathony, S Behpour, X Zhang, B Ziebart International Conference on Machine Learning, 1457-1466, 2018 | 12 | 2018 |
| Pattern recognition in computational molecular biology: techniques and approaches M Elloumi, C Iliopoulos, JTL Wang, AY Zomaya John Wiley & Sons, 2015 | 11 | 2015 |
| Consistent robust adversarial prediction for general multiclass classification R Fathony, K Asif, A Liu, MA Bashiri, W Xing, S Behpour, X Zhang, ... arXiv preprint arXiv:1812.07526, 2018 | 5 | 2018 |
| WiCV 2018: the fourth women in computer vision workshop I Demir, D Bazazian, A Romero, V Sharmanska, LP Tchapmi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 3 | 2018 |
| Addressing covariate shift in active learning with adversarial prediction A Liu, K Asif, W Xing, S Behpour, B D Ziebart, L Reyzin ICML 2015 workshop of Active learning, 2015 | 3 | 2015 |
| Ada: Adversarial data augmentation for object detection S Behpour, K Kitani, B Ziebart 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1243-1252, 2019 | 2 | 2019 |
| Adversarially optimizing intersection over union for object localization tasks S Behpour, KM Kitani, BD Ziebart CoRR, abs/1710.07735, 2017 | 2 | 2017 |
| Active Learning in Video Tracking S Behpour arXiv preprint arXiv:1912.12557, 2019 | 1 | 2019 |
| Active Learning for Probabilistic Structured Prediction of Cuts and Matchings S Behpour, A Liu, B Ziebart International Conference on Machine Learning, 563-572, 2019 | 1 | 2019 |
| ADA: A game-theoretic perspective on data augmentation for object detection S Behpour, KM Kitani, BD Ziebart arXiv preprint arXiv:1710.07735, 2017 | 1 | 2017 |
| Pattern Recognition in Computational Molecular Biology M Elloumi, CS Iliopoulos, JTL Wang, AY Zomaya Wiley Series on Bioinformatics: Computational Techniques and Engieering, 2016 | 1 | 2016 |
| Adversarial methods improve object localization S Behpour, BD Ziebart Advances in Neural Information Processing Systems Workshop, 2016 | 1 | 2016 |
| Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer S Lee, S Behpour, E Eaton | | 2020 |
| Adversarial Structural Learning: Approximating Training Data for Multi-Variate Predictions S Behpour University of Illinois at Chicago, 2018 | | 2018 |
| PERSPECTIVES ALGORITHMIC OF THE STRING BARCODING PROBLEMS S Behpour, B DasGupta Pattern Recognition in Computational Molecular Biology: Techniques and …, 2015 | | 2015 |
| A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks S Behpour, BD Ziebart AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and …, 2015 | | 2015 |
| Algorithmic Perspectives of the String Barcoding Problems S Behpour, B DasGupta | | 2013 |
| Addressing Covariate Shift in Active Learning with Adversarial Prediction S Behpour, EDUBD Ziebart, EDUL Reyzin, UIC EDU | | |
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoVerifierad e-postadress på uic.edu
