Sumon Biswas - RankMe

21 papers A* 5A 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations. CoRR Sina Salimian, Gias Uddin, Sumon Biswas, Henry Leung
2025	A*	`conf`	FairSense: Long-Term Fairness Analysis of ML-Enabled Systems. ICSE Yining She, Sumon Biswas, Christian Kästner, Eunsuk Kang
2025	J	`jnl`	FairSense: Long-Term Fairness Analysis of ML-Enabled Systems. CoRR Yining She, Sumon Biswas, Christian Kästner, Eunsuk Kang
2025	J	`jnl`	Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning. CoRR Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Dinggen Zhang, Weida Wang, Towsif Raiyan, Benteng Chen, Qingtao Pan, Yang Ouyang, Zhiqiang Gao, Shufei Zhang, Sumon Biswas
2024	A*	`conf`	Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot. ICSE David O'Brien, Sumon Biswas, Sayem Mohammad Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan
2023	A*	`conf`	Fairify: Fairness Verification of Neural Networks. ICSE Sumon Biswas, Hridesh Rajan
2023	—	`conf`	Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. ESEC/SIGSOFT FSE Giang Nguyen, Sumon Biswas, Hridesh Rajan
2023	J	`jnl`	Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML. CoRR Giang Nguyen, Sumon Biswas, Hridesh Rajan
2023	—	`conf`	Towards Safe ML-Based Systems in Presence of Feedback Loops. SE4SafeML@SIGSOFT FSE Sumon Biswas, Yining She, Eunsuk Kang
2023	A*	`conf`	Towards Understanding Fairness and its Composition in Ensemble Machine Learning. ICSE Usman Gohar, Sumon Biswas, Hridesh Rajan
2022	—	`conf`	23 shades of self-admitted technical debt: an empirical study on machine learning software. ESEC/SIGSOFT FSE David O'Brien, Sumon Biswas, Sayem Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan
2022	J	`jnl`	An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. CoRR Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan
2022	J	`jnl`	Fairify: Fairness Verification of Neural Networks. CoRR Sumon Biswas, Hridesh Rajan
2022	A*	`conf`	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 Sumon Biswas, Mohammad Wardat, Hridesh Rajan
2022	J	`jnl`	Towards Understanding Fairness and its Composition in Ensemble Machine Learning. CoRR Usman Gohar, Sumon Biswas, Hridesh Rajan
2021	J	`jnl`	Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline. CoRR Sumon Biswas, Hridesh Rajan
2021	—	`conf`	Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline. ESEC/SIGSOFT FSE Sumon Biswas, Hridesh Rajan
2021	J	`jnl`	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 Sumon Biswas, Mohammad Wardat, Hridesh Rajan
2020	J	`jnl`	Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness. CoRR Sumon Biswas, Hridesh Rajan
2020	—	`conf`	Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness. ESEC/SIGSOFT FSE Sumon Biswas, Hridesh Rajan
2019	A	`conf`	Boa meets python: a boa dataset of data science software in python language. MSR Sumon Biswas, Md Johirul Islam, Yijia Huang, Hridesh Rajan