| Towards automated melanoma detection with deep learning: Data purification and augmentation D Bisla, A Choromanska, RS Berman, JA Stein, D Polsky Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 137 | 2019 |
| Low-pass filtering sgd for recovering flat optima in the deep learning optimization landscape D Bisla, J Wang, A Choromanska International Conference on Artificial Intelligence and Statistics, 8299-8339, 2022 | 31 | 2022 |
| Skin lesion segmentation and classification with deep learning system D Bisla, A Choromanska, JA Stein, D Polsky, R Berman arXiv preprint arXiv:1902.06061, 1-6, 2019 | 25 | 2019 |
| Towards automated melanoma detection with deep learning: Data purification and augmentation. arXiv 2019 D Bisla, A Choromanska, JA Stein, D Polsky, R Berman arXiv preprint arXiv:1902.06061, 2019 | 7 | 2019 |
| Towards automated melanoma detection with deep learning: Data purification and augmentation. 2019 IEEE D Bisla, A Choromanska, RS Berman, JA Stein, D Polsky CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019 | 6 | 2019 |
| VisualBackProp for learning using privileged information with CNNs D Bisla, A Choromanska arXiv preprint arXiv:1805.09474, 2018 | 6 | 2018 |
| Automatic document classification via transformers for regulations compliance management in large utility companies T Dimlioglu, J Wang, D Bisla, A Choromanska, S Odie, L Bukhman, ... Neural Computing and Applications 35 (23), 17167-17185, 2023 | 5 | 2023 |
| ERASE-Net: Efficient segmentation networks for automotive radar signals S Fang, H Zhu, D Bisla, A Choromanska, S Ravindran, D Ren, R Wu 2023 IEEE International Conference on Robotics and Automation (ICRA), 9331-9337, 2023 | 5 | 2023 |
| A theoretical-empirical approach to estimating sample complexity of dnns D Bisla, AN Saridena, A Choromanska Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| ESAFE: Enterprise Security and Forensics at Scale B McShea, K Wright, D Lam, S Schmidt, A Choromanska, D Bisla, S Fang, ... arXiv preprint arXiv:2112.04114, 2021 | 2 | 2021 |
| Understanding Generalization in Deep Learning: An Empirical Approach D Bisla New York University Tandon School of Engineering, 2022 | | 2022 |
