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2020 – today
- 2021
[c9]Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner:
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. AIES 2021: 674-682- 2020
- [j4]Caitlin Kuhlman, Elke A. Rundensteiner:
Rank Aggregation Algorithms for Fair Consensus. Proc. VLDB Endow. 13(11): 2706-2719 (2020) - [c8]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: 228-236 - [c7]Caitlin Kuhlman, Latifa Jackson, Rumi Chunara
:
No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. KDD 2020: 3593 - [i2]Caitlin Kuhlman, Latifa Jackson, Rumi Chunara:
No computation without representation: Avoiding data and algorithm biases through diversity. CoRR abs/2002.11836 (2020)
2010 – 2019
- 2019
- [j3]Latifa Jackson, Caitlin Kuhlman, Fatimah Jackson, P. Keolu Fox:
Including Vulnerable Populations in the Assessment of Data From Vulnerable Populations. Frontiers Big Data 2: 19 (2019) - [c6]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: 512 - [c5]Caitlin Kuhlman, MaryAnn Van Valkenburg, Elke A. Rundensteiner:
FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics. WWW 2019: 2936-2942 - 2018
- [c4]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: 1931-1934 - 2017
- [j2]Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie 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): 11:1-11:12 (2017) - [c3]Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
Multi-Tactic Distance-Based Outlier Detection. ICDE 2017: 959-970 - [c2]Yizhou Yan, Lei Cao, Caitlin Kuhlman, Elke A. Rundensteiner:
Distributed Local Outlier Detection in Big Data. KDD 2017: 1225-1234 - [c1]Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner:
Pivot-Based Distributed K-Nearest Neighbor Mining. ECML/PKDD (2) 2017: 843-860 - 2016
- [j1]Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di:
Rapid building detection using machine learning. Appl. Intell. 45(2): 443-457 (2016) - [i1]Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di:
Rapid building detection using machine learning. CoRR abs/1603.04392 (2016)
Coauthor Index
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