Rapid building detection using machine learning. - Joseph Paul Cohen; Wei Ding 003; Caitlin Kuhlman; Aijun Chen; Liping Di (Appl. Intell., 2016)

Multi-Tactic Distance-Based Outlier Detection. - Lei Cao 004; Yizhou Yan; Caitlin Kuhlman; Qingyang Wang 004; Elke A. Rundensteiner; Mohamed Y. Eltabakh (ICDE, 2017)

Distributed Local Outlier Detection in Big Data. - Yizhou Yan; Lei Cao 004; Caitlin Kuhlman; Elke A. Rundensteiner (KDD, 2017)

Pivot-Based Distributed K-Nearest Neighbor Mining. - Caitlin Kuhlman; Yizhou Yan; Lei Cao 004; Elke A. Rundensteiner (ECML/PKDD (2), 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 004; C. Reddy; Aleksandra Mojsilovic; Kush R. Varshney (IBM J. Res. Dev., 2017)

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 (CIKM, 2018)

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 (CHI, 2019)

FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics. - Caitlin Kuhlman; MaryAnn Van Valkenburg; Elke A. Rundensteiner (WWW, 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)

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 (HEALTHINF, 2020)

No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. - Caitlin Kuhlman; Latifa Jackson; Rumi Chunara (KDD, 2020)

Rank Aggregation Algorithms for Fair Consensus. - Caitlin Kuhlman; Elke A. Rundensteiner (Proc. VLDB Endow., 2020)

Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. - Caitlin Kuhlman; Walter Gerych; Elke A. Rundensteiner (AIES, 2021)