Caitlin Kuhlman

15 papers A* 5A 1C 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2021 C conf
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics.
AIES
Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner
2020 — conf
Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014.
HEALTHINF
Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy C. Paffenroth, Elke A. Rundensteiner
2020 A* conf
No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity.
KDD
Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
2020 J jnl
No computation without representation: Avoiding data and algorithm biases through diversity.
CoRR
Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
2020 J jnl
Rank Aggregation Algorithms for Fair Consensus.
Proc. VLDB Endow.
Caitlin Kuhlman, Elke A. Rundensteiner
2019 A* conf
Evaluating Preference Collection Methods for Interactive Ranking Analytics.
CHI
Caitlin Kuhlman, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Paul-Henry Schoenhagen, MaryAnn Van Valkenburg, Elke A. Rundensteiner, Lane Harrison
2019 A* conf
FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics.
WWW
Caitlin Kuhlman, MaryAnn Van Valkenburg, Elke A. Rundensteiner
2019 J jnl
Including Vulnerable Populations in the Assessment of Data From Vulnerable Populations.
Frontiers Big Data
Latifa Jackson, Caitlin Kuhlman, Fatimah Jackson, P. Keolu Fox
2018 A conf
Preference-driven Interactive Ranking System for Personalized Decision Support.
CIKM
Caitlin Kuhlman, MaryAnn Van Valkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Elke A. Rundensteiner, Lane Harrison
2017 A* conf
Distributed Local Outlier Detection in Big Data.
KDD
Yizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner
2017 J jnl
How to foster innovation: A data-driven approach to measuring economic competitiveness.
IBM J. Res. Dev.
Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
2017 A* conf
Multi-Tactic Distance-Based Outlier Detection.
ICDE
Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
2017 — conf
Pivot-Based Distributed K-Nearest Neighbor Mining.
ECML/PKDD (2)
Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner
2016 J jnl
Rapid building detection using machine learning.
Appl. Intell.
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
2016 J jnl
Rapid building detection using machine learning.
CoRR
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di