Caitlin Kuhlman
Caitlin Kuhlman
Verified email at wpi.edu - Homepage
Title
Cited by
Cited by
Year
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
322017
Rapid building detection using machine learning
JP Cohen, W Ding, C Kuhlman, A Chen, L Di
Applied Intelligence 45 (2), 443-457, 2016
272016
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
172017
Fare: Diagnostics for fair ranking using pairwise error metrics
C Kuhlman, MA VanValkenburg, E Rundensteiner
The World Wide Web Conference, 2936-2942, 2019
142019
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
142017
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
92019
Pivot-based distributed k-nearest neighbor mining
C Kuhlman, Y Yan, L Cao, E Rundensteiner
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
42017
The impact of Big Data on making evidence-based decisions
R Neamtu, C Kuhlman, R Ahsan, E Rundensteiner
Frontiers in Data Science, 2018
32018
The impact of Big Data on making evidence-based decisions
R Neamtu, C Kuhlman, R Ahsan, E Rundensteiner
Frontiers in Data Science, 2018
32018
No computation without representation: Avoiding data and algorithm biases through diversity
C Kuhlman, L Jackson, R Chunara
arXiv preprint arXiv:2002.11836, 2020
22020
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
22019
Towards an Interactive Learn-to-Rank System for Economic Competitiveness Understanding
C Kuhlman, E Rundensteiner
KDD 2017 Interactive Data Exploration and Analytics Workshop, 2017
22017
Rank aggregation algorithms for fair consensus
C Kuhlman, E Rundensteiner
Proceedings of the VLDB Endowment 13 (12), 2706-2719, 2020
12020
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
12018
Ranking for Decision Making: Fairness and Usability
CA Kuhlman
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
Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining
CA Kuhlman
WORCESTER POLYTECHNIC INSTITUTE, 2017
2017
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Articles 1–17