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2020 – today
- 2024
[j3]Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed
, Dmytro Humeniuk, Foutse Khomh:
Data cleaning and machine learning: a systematic literature review. Autom. Softw. Eng. 31(2): 54 (2024)- [j2]Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh:
Quality issues in machine learning software systems. Empir. Softw. Eng. 29(6): 149 (2024) - 2023
- [j1]Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh:
Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer 56(4): 71-79 (2023) - [i4]Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh:
Quality Issues in Machine Learning Software Systems. CoRR abs/2306.15007 (2023) - [i3]Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh:
Data Cleaning and Machine Learning: A Systematic Literature Review. CoRR abs/2310.01765 (2023) - 2022
- [i2]Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh:
Quality issues in Machine Learning Software Systems. CoRR abs/2208.08982 (2022) - [i1]Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh:
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? CoRR abs/2212.02614 (2022)
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