Sumon Biswas

According to our database, Sumon Biswas authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML.

Giang Nguyen, Sumon Biswas, Hridesh Rajan

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Towards Safe ML-Based Systems in Presence of Feedback Loops.

Sumon Biswas, Yining She, Eunsuk Kang

Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, 2023

Towards Understanding Fairness and its Composition in Ensemble Machine Learning.

Usman Gohar, Sumon Biswas, Hridesh Rajan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Fairify: Fairness Verification of Neural Networks.

Sumon Biswas, Hridesh Rajan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models.

Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan

CoRR, 2022

23 shades of self-admitted technical debt: an empirical study on machine learning software.

David O'Brien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large.

Sumon Biswas, Mohammad Wardat, Hridesh Rajan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline.

Sumon Biswas, Hridesh Rajan

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020

Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness.

Sumon Biswas, Hridesh Rajan

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Boa meets python: a boa dataset of data science software in python language.

Sumon Biswas, Md Johirul Islam, Yijia Huang, Hridesh Rajan

Proceedings of the 16th International Conference on Mining Software Repositories, 2019