Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs K Asif, L Zhang, S Derrible, JE Indacochea, D Ozevin, B Ziebart Journal of Intelligent Manufacturing, 1-15, 2022 | 61 | 2022 |
Adversarial Cost-Sensitive Classification. K Asif, W Xing, S Behpour, BD Ziebart UAI, 92-101, 2015 | 59 | 2015 |
Adversarial multiclass classification: A risk minimization perspective R Fathony, A Liu, K Asif, B Ziebart Advances in Neural Information Processing Systems, 559-567, 2016 | 43 | 2016 |
Adversarial prediction games for multivariate losses H Wang, W Xing, K Asif, B Ziebart Advances in Neural Information Processing Systems 28, 2015 | 37 | 2015 |
Adversarial Sequence Tagging. J Li, K Asif, H Wang, BD Ziebart, TY Berger-Wolf IJCAI, 1690-1696, 2016 | 17 | 2016 |
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 | 11 | 2018 |
Using machine learning to predict welding quality from airborne AE sensor data. K Asif, L Zhang, S Derrible, E Indacochea, D Ozevin, B Ziebart Journal of Acoustic Emission 36, 2019 | 4 | 2019 |
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 |
Adversarial Approach to Cost-sensitive Classification and Sequence Tagging KN Asif University of Illinois at Chicago, 2019 | | 2019 |
Inferring and Learning Subgoal Sequences K Asif, BD Ziebart | | |