| Fare: Diagnostics for fair ranking using pairwise error metrics C Kuhlman, MA VanValkenburg, E Rundensteiner The world wide web conference, 2936-2942, 2019 | 66 | 2019 |
| 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 | 57 | 2017 |
| Rank aggregation algorithms for fair consensus C Kuhlman, E Rundensteiner Proceedings of the VLDB Endowment 13 (12), 2020 | 50 | 2020 |
| Rapid building detection using machine learning JP Cohen, W Ding, C Kuhlman, A Chen, L Di Applied Intelligence 45, 443-457, 2016 | 49 | 2016 |
| 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 | 38 | 2019 |
| No computation without representation: Avoiding data and algorithm biases through diversity C Kuhlman, L Jackson, R Chunara arXiv preprint arXiv:2002.11836, 2020 | 36 | 2020 |
| 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 | 31 | 2017 |
| 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 | 24 | 2021 |
| 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 | 23 | 2017 |
| 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 | 19 | 2019 |
| 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 | 12 | 2018 |
| 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 | 6 | 2017 |
| 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 | 5 | 2017 |
| 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 | 4 | 2017 |
| 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 |
