( en | de | ru )

 

Disambiguation of "Rodolfa, Kit T."

Author of the publication

copydeleteadd this publication to your clipboard
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.

, , , , , , , , and . CoRR, (2022)

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.

Boris Kit

Oleksandr Kit

Willenbacher (KIT)

Kit Cheong

John Kit Wang

 

Other publications of authors with the same name

An Experience-Centered Approach to Training Effective Data Scientists., , , and . Big Data, 7 (4): 249-261 (2019)Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions., , , and . CoRR, (2020)Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial., , and . KDD, page 3513-3514. ACM, (2020)An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings., , and . SIGKDD Explor., 23 (1): 69-85 (2021)On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods., , , , , , , , and . CoRR, (2022)Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy., , and . Nat. Mach. Intell., 3 (10): 896-904 (2021)Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial., , , and . KDD, page 5779-5780. ACM, (2023)Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools., , , , , and . EAAMO, page 36:1-36:11. ACM, (2023)Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?, , and . CoRR, (2020)A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions., , and . CoRR, (2022)