Caitlin Kuhlman

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 15

Top Topics

Wavelet Synopses

Association Analysis

Top Venues

Proc. VLDB Endow.

IBM J. Res. Dev.

Publications

Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. AIES (2021)
Caitlin Kuhlman, Elke A. Rundensteiner
Rank Aggregation Algorithms for Fair Consensus. Proc. VLDB Endow. 13 (11) (2020)
Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
No computation without representation: Avoiding data and algorithm biases through diversity. CoRR (2020)
Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. KDD (2020)
Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy C. Paffenroth, Elke A. Rundensteiner
Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014. HEALTHINF (2020)
Latifa Jackson, Caitlin Kuhlman, Fatimah Jackson, P. Keolu Fox
Including Vulnerable Populations in the Assessment of Data From Vulnerable Populations. Frontiers Big Data 2 (2019)
Caitlin Kuhlman, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Paul-Henry Schoenhagen, MaryAnn Van Valkenburg, Elke A. Rundensteiner, Lane Harrison
Evaluating Preference Collection Methods for Interactive Ranking Analytics. CHI (2019)
Caitlin Kuhlman, MaryAnn Van Valkenburg, Elke A. Rundensteiner
FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics. WWW (2019)
Caitlin Kuhlman, MaryAnn Van Valkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Elke A. Rundensteiner, Lane Harrison
Preference-driven Interactive Ranking System for Personalized Decision Support. CIKM (2018)
Yizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner
Distributed Local Outlier Detection in Big Data. KDD (2017)
Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner
Pivot-Based Distributed K-Nearest Neighbor Mining. ECML/PKDD (2) (2017)
Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
Multi-Tactic Distance-Based Outlier Detection. ICDE (2017)
Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurelie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
How to foster innovation: A data-driven approach to measuring economic competitiveness. IBM J. Res. Dev. 61 (6) (2017)
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
Rapid building detection using machine learning. CoRR (2016)
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
Rapid building detection using machine learning. Appl. Intell. 45 (2) (2016)