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Caitlin Kuhlman
Caitlin Kuhlman
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Fare: Diagnostics for fair ranking using pairwise error metrics
C Kuhlman, MA VanValkenburg, E Rundensteiner
The world wide web conference, 2936-2942, 2019
662019
Distributed local outlier detection in big data
Y Yan, L Cao, C Kulhman, E Rundensteiner
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
582017
Rank aggregation algorithms for fair consensus
C Kuhlman, E Rundensteiner
Proceedings of the VLDB Endowment 13 (12), 2020
552020
Rapid building detection using machine learning
JP Cohen, W Ding, C Kuhlman, A Chen, L Di
Applied Intelligence 45, 443-457, 2016
512016
No computation without representation: Avoiding data and algorithm biases through diversity
C Kuhlman, L Jackson, R Chunara
arXiv preprint arXiv:2002.11836, 2020
402020
Including vulnerable populations in the assessment of data from vulnerable populations
L Jackson, C Kuhlman, F Jackson, PK Fox
Frontiers in big Data 2, 19, 2019
392019
How to foster innovation: A data-driven approach to measuring economic competitiveness
C Kuhlman, KN Ramamurthy, P Sattigeri, AC Lozano, L Cao, C Reddy, ...
IBM Journal of Research and Development 61 (6), 11: 1-11: 12, 2017
302017
Measuring group advantage: A comparative study of fair ranking metrics
C Kuhlman, W Gerych, E Rundensteiner
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 674-682, 2021
262021
Multi-tactic distance-based outlier detection
L Cao, Y Yan, C Kuhlman, Q Wang, EA Rundensteiner, M Eltabakh
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 959-970, 2017
242017
Evaluating preference collection methods for interactive ranking analytics
C Kuhlman, D Doherty, M Nurbekova, G Deva, Z Phyo, PH Schoenhagen, ...
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
202019
Preference-driven interactive ranking system for personalized decision support
C Kuhlman, MA VanValkenburg, D Doherty, M Nurbekova, G Deva, ...
Proceedings of the 27th ACM International Conference on Information and …, 2018
132018
The impact of Big Data on making evidence-based decisions
R Neamtu, C Kuhlman, R Ahsan, E Rundensteiner
Frontiers in Data Science, 191-221, 2017
52017
Pivot-based distributed k-nearest neighbor mining
C Kuhlman, Y Yan, L Cao, E Rundensteiner
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
52017
Towards an interactive learn-to-rank system for economic competitiveness understanding
C Kuhlman, E Rundensteiner, R Neamtu, R Ahsan, J Stokes, A Hoxha, ...
KDD 2017 Interactive Data Exploration and Analytics Workshop 8, 23-25, 2017
42017
Ranking for Decision Making: Fairness and Usability
C Kuhlman
University of Arizona, 2020
2020
Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014.
E Teeple, C Kuhlman, B Werner, RC Paffenroth, EA Rundensteiner
HEALTHINF, 228-236, 2020
2020
The impact of Big Data on making evidence-based decisions
R Neamtu, C Kuhlman, R Ahsan, E Rundensteiner
Frontiers in Data Science, 191-221, 2017
2017
Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining
CA Kuhlman
WORCESTER POLYTECHNIC INSTITUTE, 2017
2017
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Artikelen 1–18