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ORCIDFalaah Arif Khan
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2020 – today
- 2024
[j2]Shubha Guha
, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter:
Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making. IEEE Trans. Knowl. Data Eng. 36(12): 7368-7379 (2024)- [c6]Denys Herasymuk, Falaah Arif Khan, Julia Stoyanovich:
Responsible Model Selection with Virny and VirnyView. SIGMOD Conference Companion 2024: 488-491 - [i7]Falaah Arif Khan, Denys Herasymuk, Nazar Protsiv, Julia Stoyanovich:
Still More Shades of Null: A Benchmark for Responsible Missing Value Imputation. CoRR abs/2409.07510 (2024) - 2023
- [c5]Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, Sebastian Schelter:
Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making. ICDE 2023: 3747-3754 - [c4]Vítor Ribeiro, Eduardo H. M. Pena, Raphael de Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, Fábio Porto:
Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. SBBD 2023: 318-323 - [i6]Falaah Arif Khan, Denys Herasymuk, Julia Stoyanovich:
On Fairness and Stability: Is Estimator Variance a Friend or a Foe? CoRR abs/2302.04525 (2023) - [i5]Falaah Arif Khan, Julia Stoyanovich:
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction. CoRR abs/2302.08704 (2023) - 2022
- [j1]Alene K. Rhea, Kelsey Markey, Lauren D'Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires, Falaah Arif Khan, Julia Stoyanovich:
An external stability audit framework to test the validity of personality prediction in AI hiring. Data Min. Knowl. Discov. 36(6): 2153-2193 (2022) - [c3]Falaah Arif Khan:
It's funny because it's true: confronting scientific catechisms through comic books! DEBS 2022: 5 - [c2]Falaah Arif Khan, Eleni Manis, Julia Stoyanovich:
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines. EAAMO 2022: 18:1-18:10 - [i4]Falaah Arif Khan, Eleni Manis, Julia Stoyanovich:
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines. CoRR abs/2207.02912 (2022) - 2021
- [i3]Abhishek Gupta, Alexandrine Royer, Connor Wright, Falaah Arif Khan, Victoria Heath, Erick Galinkin, Ryan Khurana, Marianna Bergamaschi Ganapini, Muriam Fancy, Masa Sweidan, Mo Akif, Renjie Butalid:
The State of AI Ethics Report (January 2021). CoRR abs/2105.09059 (2021) - [i2]Falaah Arif Khan, Eleni Manis, Julia Stoyanovich:
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy. CoRR abs/2106.08259 (2021) - 2020
- [i1]Abhishek Gupta, Alexandrine Royer, Victoria Heath, Connor Wright, Camylle Lanteigne, Allison Cohen, Marianna Bergamaschi Ganapini, Muriam Fancy, Erick Galinkin, Ryan Khurana, Mo Akif, Renjie Butalid, Falaah Arif Khan, Masa Sweidan, Audrey Balogh:
The State of AI Ethics Report (October 2020). CoRR abs/2011.02787 (2020)
2010 – 2019
- 2018
- [c1]Falaah Arif Khan, Sajin Kunhambu, K. Chakravarthy G:
Behavioral Biometrics and Machine Learning to Secure Website Logins. SSCC 2018: 667-677
Coauthor Index
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