| 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 | 88 | 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 | 72 | 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 | 50 | 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 | 37 | 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 | 33 | 2019 |
| Towards understanding fairness and its composition in ensemble machine learning U Gohar, S Biswas, H Rajan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 21 | 2023 |
| Fairify: Fairness verification of neural networks S Biswas, H Rajan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 13 | 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 | 6 | 2022 |
| 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 | 5 | 2023 |
| 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 | 1 | 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 | 1 | 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 | | 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 |
| Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot HR David OBrien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab Proceedings of the 46th International Conference on Software Engineering, 0 | | |
Hridesh RajanProfessor and Chair, Iowa State UniversityVerified email at acm.org
