| Debugging the internals of convolutional networks B Alsallakh, N Kokhlikyan, V Miglani, S Muttepawar, E Wang, S Zhang, ... eXplainable AI approaches for debugging and diagnosis., 2021 | 5 | 2021 |
| Are Convolutional Networks Inherently Foveated? B Alsallakh, V Miglani, N Kokhlikyan, D Adkins, O Reblitz-Richardson SVRHM 2021 Workshop@ NeurIPS, 2021 | 1 | 2021 |
| Method Cards for Prescriptive Machine-Learning Transparency D Adkins, B Alsallakh, A Cheema, N Kokhlikyan, E McReynolds, P Mishra, ... 2022 IEEE/ACM 1st International Conference on AI Engineering–Software …, 2022 | | 2022 |
| Prescriptive and Descriptive Approaches to Machine-Learning Transparency D Adkins, B Alsallakh, A Cheema, N Kokhlikyan, E McReynolds, P Mishra, ... CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-9, 2022 | | 2022 |
