Kathleen Cachel

According to our database, Kathleen Cachel authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics.

Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke A. Rundensteiner

CoRR, 2024

PreFAIR: Combining Partial Preferences for Fair Consensus Decision-making.

Kathleen Cachel, Elke A. Rundensteiner

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics.

Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

FairRankTune: A Python Toolkit for Fair Ranking Tasks.

Kathleen Cachel, Elke A. Rundensteiner

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Wise Fusion: Group Fairness Enhanced Rank Fusion.

Kathleen Cachel, Elke A. Rundensteiner

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking.

Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation.

Kathleen Cachel, Elke A. Rundensteiner

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Fair&Share: Fast and Fair Multi-Criteria Selections.

Kathleen Cachel, Elke A. Rundensteiner

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

FairFuse: Interactive Visual Support for Fair Consensus Ranking.

Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking.

Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

FINS Auditing Framework: Group Fairness for Subset Selections.

Kathleen Cachel, Elke A. Rundensteiner

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022