| Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness S Biswas, H Rajan Proceedings of the 28th ACM joint meeting on European software engineering …, 2020 | 98 | 2020 |
| Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline S Biswas, H Rajan Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 89 | 2021 |
| Cloud based healthcare application architecture and electronic medical record mining: an integrated approach to improve healthcare system S Biswas, T Akhter, MS Kaiser, SA Mamun 2014 17th international conference on computer and information technology …, 2014 | 65 | 2014 |
| The art and practice of data science pipelines: A comprehensive study of data science pipelines in theory, in-the-small, and in-the-large S Biswas, M Wardat, H Rajan Proceedings of the 44th International Conference on Software Engineering …, 2022 | 61 | 2022 |
| Applying ant colony optimization in software testing to generate prioritized optimal path and test data S Biswas, MS Kaiser, SA Mamun 2015 International Conference on Electrical Engineering and Information …, 2015 | 40 | 2015 |
| Boa meets python: A boa dataset of data science software in python language S Biswas, MJ Islam, Y Huang, H Rajan 2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019 | 36 | 2019 |
| Towards Understanding Fairness and its Composition in Ensemble Machine Learning U Gohar, S Biswas, H Rajan In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 30* | 2023 |
| Fairify: Fairness verification of neural networks S Biswas, H Rajan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 18 | 2023 |
| Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML G Nguyen, S Biswas, H Rajan Proceedings of the 31st ACM joint meeting on European software engineering …, 2023 | 10 | 2023 |
| 23 shades of self-admitted technical debt: An empirical study on machine learning software D OBrien, S Biswas, S Imtiaz, R Abdalkareem, E Shihab, H Rajan Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 10 | 2022 |
| Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot D OBrien, S Biswas, SM Imtiaz, R Abdalkareem, E Shihab, H Rajan 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024 | 2 | 2024 |
| An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models R Pan, S Biswas, M Chakraborty, BD Cruz, H Rajan arXiv preprint arXiv:2212.00105, 2022 | 2 | 2022 |
| Towards Safe ML-Based Systems in Presence of Feedback Loops S Biswas, Y She, E Kang Proceedings of the 1st International Workshop on Dependability and …, 2023 | 1 | 2023 |
| Understanding and reasoning fairness in machine learning pipelines S Biswas Iowa State University, 2022 | | 2022 |
| Understanding unfairness and its mitigation in open-source machine learning models S Biswas Iowa State University, 2021 | | 2021 |
| A secure data security infrastructure for small organization in cloud computing MBT Noor, S Biswas 2015 International Conference on Electrical Engineering and Information …, 2015 | | 2015 |
| Cloud Modeling and Electronic Medical Record Mining: An Integrated Approach to Improve Healthcare System S Biswas Jahangirnagar University, 2015 | | 2015 |
| ACM Student Research Competition (SRC) M Bano, L Jiang, A Shokri, A Grubb, A Hess, AG Neiat, C Arora, C Bird, ... | | |
Hridesh RajanDean, Tulane’s School of Science and Engineering在 acm.org 的电子邮件经过验证
