Publications

2024

• Kathleen Cachel and Elke Rundensteiner

  Wise Fusion: Group Fairness Enhanced Rank Fusion

  33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
• Oluseun Olulana, Kathleen Cachel, Fabricio Murai and Elke Rundensteiner

  Hidden or Inferred: Fair Learning-To-Rank With Unknown Demographics

  AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society Conference (AIES 2024)
• Kathleen Cachel and Elke Rundensteiner

  FairRankTune: A Python Toolkit for Fair Ranking Tasks

  33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)

  [Paper]

2023

• 
  Kathleen Cachel and Elke Rundensteiner

  Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation

  2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23)

  [Paper] [Video]
• 
  Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, and Lane Harrison

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

  2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23)

  [Paper] [Video] [Supplement]

2022

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

  FairFuse: Interactive Visual Support for Fair Consensus Ranking

  IEEE VIS, October 16 - 21, 2022.

  [Paper] [Supplement video and codes]
• 
  Kathleen Cachel and Elke Rundensteiner

  FINS Auditing Framework: Group Fairness for Subset Selection

  AAAI/ACM Conference on AI, Ethics, and Society (AEIS), August 1 - 3, 2022.

  [Toolkit] [Paper]
• 
  Kathleen Cachel, Elke Rundensteiner, and Lane Harrison

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

  IEEE International Conference on Data Engineering (ICDE), May 9 - 12, 2022.

  [Paper] [Video]

2021

• 
  Caitlin Kuhlman, Walter Gerych, and Elke Rundensteiner

  Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics

  AAAI/ACM Conference on AI, Ethics, and Society (AEIS), May 19 - 20, 2021.

  [Paper]

2020

• 
  Caitlin Kuhlman and Elke Rundensteiner

  Rank Aggregation Algorithms for Fair Consensus

  Proceedings of Very Large Database Systems 2020 Aug 31 - Sept 4, 2020.

  [Paper] [Video]

2019

• 
  Caitlin Kuhlman, MaryAnn VanValkenburg, and Elke Rundensteiner

  Fare: Diagnostics for fair ranking using pairwise error metrics

  The Web Conference (WWW) 2019.

  [Paper]
• 
  Caitlin Kuhlman, Paul-Henry Schoenhagen, MaryAnn VanValkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Elke Rundensteiner, Lane Harrison

  Evaluating Preference Collection Methods for Interactive Ranking

  Analytics ACM Conference on Human Factors in Computing Systems (CHI) 2019.

  [Paper]

2018

• 
  Caitlin Kuhlman, MaryAnn VanValkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Elke Rundensteiner, Lane Harrison

  Preference-driven Interactive Ranking System for Personalized Decision Support

  ACM International Conference on Information and Knowledge Management (CIKM) 2018.

  [Paper]