Caitlin Kuhlman

According to our database, Caitlin Kuhlman authored at least 13 papers between 2016 and 2021.

Collaborative distances:

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

2021

Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics.

Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Rank Aggregation Algorithms for Fair Consensus.

Caitlin Kuhlman, Elke A. Rundensteiner

Proc. VLDB Endow., 2020

No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity.

Caitlin Kuhlman, Latifa Jackson, Rumi Chunara

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014.

Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy C. Paffenroth, Elke A. Rundensteiner

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Including Vulnerable Populations in the Assessment of Data From Vulnerable Populations.

Latifa Jackson, Caitlin Kuhlman, Fatimah Jackson, P. Keolu Fox

Frontiers Big Data, 2019

FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics.

Caitlin Kuhlman, MaryAnn Van Valkenburg, Elke A. Rundensteiner

Proceedings of the World Wide Web Conference, 2019

Evaluating Preference Collection Methods for Interactive Ranking Analytics.

Caitlin Kuhlman, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Paul-Henry Schoenhagen, MaryAnn Van Valkenburg, Elke A. Rundensteiner, Lane Harrison

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Preference-driven Interactive Ranking System for Personalized Decision Support.

Caitlin Kuhlman, MaryAnn Van Valkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Elke A. Rundensteiner, Lane Harrison

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

How to foster innovation: A data-driven approach to measuring economic competitiveness.

Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney

IBM J. Res. Dev., 2017

Pivot-Based Distributed K-Nearest Neighbor Mining.

Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Distributed Local Outlier Detection in Big Data.

Yizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Multi-Tactic Distance-Based Outlier Detection.

Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke A. Rundensteiner, Mohamed Y. Eltabakh

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Rapid building detection using machine learning.

Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di

Appl. Intell., 2016