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Sumon Biswas
Sumon Biswas
Carnegie Mellon University, Postdoctoral Researcher
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
852020
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
662021
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
632014
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
432022
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
362015
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
322019
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
142023
Fairify: Fairness verification of neural networks
S Biswas, H Rajan
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
112023
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
72022
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
32023
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
12024
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
12022
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
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