Author of the publication

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

, and . ESEC/SIGSOFT FSE, page 981-993. ACM, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large., , and . ICSE, page 2091-2103. ACM, (2022)Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness., and . ESEC/SIGSOFT FSE, page 642-653. ACM, (2020)Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML., , and . ESEC/SIGSOFT FSE, page 502-514. ACM, (2023)23 shades of self-admitted technical debt: an empirical study on machine learning software., , , , , and . ESEC/SIGSOFT FSE, page 734-746. ACM, (2022)Boa meets python: a boa dataset of data science software in python language., , , and . MSR, page 577-581. IEEE / ACM, (2019)Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot., , , , , and . ICSE, page 219:1-219:13. ACM, (2024)Fairify: Fairness Verification of Neural Networks., and . ICSE, page 1546-1558. IEEE, (2023)Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline., and . ESEC/SIGSOFT FSE, page 981-993. ACM, (2021)Towards Safe ML-Based Systems in Presence of Feedback Loops., , and . SE4SafeML@SIGSOFT FSE, page 18-21. ACM, (2023)Towards Understanding Fairness and its Composition in Ensemble Machine Learning., , and . ICSE, page 1533-1545. IEEE, (2023)