Sumon Biswas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

False Acceptance Rate

Top Venues

ESEC/SIGSOFT FSE

Publications

David O'Brien, Sumon Biswas, Sayem Mohammad Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan
Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot. ICSE (2024)
Giang Nguyen, Sumon Biswas, Hridesh Rajan
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. CoRR (2023)
Giang Nguyen, Sumon Biswas, Hridesh Rajan
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. ESEC/SIGSOFT FSE (2023)
Usman Gohar, Sumon Biswas, Hridesh Rajan
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. ICSE (2023)
Sumon Biswas, Yining She, Eunsuk Kang
Towards Safe ML-Based Systems in Presence of Feedback Loops. SE4SafeML@SIGSOFT FSE (2023)
Sumon Biswas, Hridesh Rajan
Fairify: Fairness Verification of Neural Networks. ICSE (2023)
Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. CoRR (2022)
David O'Brien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan
23 shades of self-admitted technical debt: an empirical study on machine learning software. ESEC/SIGSOFT FSE (2022)
Usman Gohar, Sumon Biswas, Hridesh Rajan
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. CoRR (2022)
Sumon Biswas, Hridesh Rajan
Fairify: Fairness Verification of Neural Networks. CoRR (2022)
Sumon Biswas, Mohammad Wardat, Hridesh Rajan
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. ICSE (2022)
Sumon Biswas, Hridesh Rajan
Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline. ESEC/SIGSOFT FSE (2021)
Sumon Biswas, Hridesh Rajan
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline. CoRR (2021)
Sumon Biswas, Mohammad Wardat, Hridesh Rajan
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. CoRR (2021)
Sumon Biswas, Hridesh Rajan
Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness. ESEC/SIGSOFT FSE (2020)
Sumon Biswas, Hridesh Rajan
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness. CoRR (2020)
Sumon Biswas, Md Johirul Islam, Yijia Huang, Hridesh Rajan
Boa meets python: a boa dataset of data science software in python language. MSR (2019)