| Why is developing machine learning applications challenging? a study on stack overflow posts M Alshangiti, H Sapkota, PK Murukannaiah, X Liu, Q Yu 2019 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2019 | 87 | 2019 |
| Bayesian nonparametric submodular video partition for robust anomaly detection H Sapkota, Q Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 47 | 2022 |
| Distributionally robust optimization for deep kernel multiple instance learning H Sapkota, Y Ying, F Chen, Q Yu International Conference on Artificial Intelligence and Statistics, 2188-2196, 2021 | 14 | 2021 |
| A network-centric approach for estimating trust between open source software developers H Sapkota, PK Murukannaiah, Y Wang Plos one 14 (12), e0226281, 2019 | 13 | 2019 |
| Deep reinforced attention regression for partial sketch based image retrieval D Wang, H Sapkota, X Liu, Q Yu 2021 IEEE International Conference on Data Mining (ICDM), 669-678, 2021 | 7 | 2021 |
| Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data H Sapkota, Q Yu The Eleventh International Conference on Learning Representations, 2023 | 6 | 2023 |
| Distributionally robust ensemble of lottery tickets towards calibrated sparse network training H Sapkota, D Wang, Z Tao, Q Yu Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Balancing Bias and Variance for Active Weakly Supervised Learning H Sapkota, Q Yu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| Reinforced compressive neural architecture search for versatile adversarial robustness D Wang, H Sapkota, Z Tao, Q Yu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Meta Evidential Transformer for Few-Shot Open-Set Recognition H Sapkota, KP Neupane, Q Yu Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| The development of thermodynamically consistent and physics-informed equation-of-state model through machine learning J Hinz, D Yu, DS Pandey, H Sapkota, Q Yu, DI Mihaylov, VV Karasiev, ... APL Machine Learning 2 (2), 2024 | 1 | 2024 |
| Robust Weakly Supervised Learning for Real-World Anomaly Detection H Sapkota Rochester Institute of Technology, 2023 | | 2023 |
| Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection D Wang, H Sapkota, Q Yu The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Qi YuProfessor, Rochester Institute of Technologyrit.edu의 이메일 확인됨