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Journal Articles
- 2024
[j5]Reid A. Johnson
:
quantile-forest: A Python Package for Quantile Regression Forests. J. Open Source Softw. 9(94): 5976 (2024)- 2019
- [j4]Aastha Nigam, Reid A. Johnson, Dong Wang, Nitesh V. Chawla:
Characterizing online health and wellness information consumption: A study. Inf. Fusion 46: 33-43 (2019) - 2018
- [j3]Saurabh Nagrecha, Reid A. Johnson, Nitesh V. Chawla:
FraudBuster: Reducing Fraud in an Auto Insurance Market. Big Data 6(1): 3-12 (2018) - [j2]Keith Feldman, Reid A. Johnson, Nitesh V. Chawla:
The State of Data in Healthcare: Path Towards Standardization. J. Heal. Informatics Res. 2(3): 248-271 (2018) - 2016
- [j1]Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Can Scientific Impact Be Predicted? IEEE Trans. Big Data 2(1): 18-30 (2016)
Conference and Workshop Papers
- 2023
- [c12]Faraz Moghimi, Reid A. Johnson, Andy Krause:
Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN). ICMLA 2023: 1405-1411 - 2017
- [c11]Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla:
Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks. KDD 2017: 807-816 - 2016
- [c10]Dipanwita Dasgupta, Reid A. Johnson, Beenish M. Chaudhry, Kimberly Green Reeves, Patty Willaert, Nitesh V. Chawla:
Design and Evaluation of a Medication Adherence Application with Communication for Seniors in Independent Living Communities. AMIA 2016 - 2015
- [c9]Yuxiao Dong, Reid A. Johnson, Yang Yang, Nitesh V. Chawla:
Collaboration Signatures Reveal Scientific Impact. ASONAM 2015: 480-487 - [c8]Reid A. Johnson, Troy Raeder, Nitesh V. Chawla:
Optimizing Classifiers for Hypothetical Scenarios. PAKDD (1) 2015: 264-276 - [c7]Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Will This Paper Increase Your h-index? ECML/PKDD (3) 2015: 259-263 - [c6]Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi:
Calibrating Probability with Undersampling for Unbalanced Classification. SSCI 2015: 159-166 - [c5]Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Will This Paper Increase Your h-index?: Scientific Impact Prediction. WSDM 2015: 149-158 - 2014
- [c4]Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi:
Using HDDT to avoid instances propagation in unbalanced and evolving data streams. IJCNN 2014: 588-594 - 2013
- [c3]Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, Nitesh V. Chawla:
Classifier Evaluation with Missing Negative Class Labels. IDA 2013: 380-391 - 2012
- [c2]Reid A. Johnson, Nitesh V. Chawla, Jessica J. Hellmann:
Species distribution modeling and prediction: A class imbalance problem. CIDU 2012: 9-16 - [c1]Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, Nitesh V. Chawla:
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain. PAKDD Workshops 2012: 36-46
Informal and Other Publications
- 2016
- [i4]Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla:
Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks. CoRR abs/1602.07048 (2016) - [i3]Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Can Scientific Impact Be Predicted? CoRR abs/1606.05905 (2016) - 2015
- [i2]Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla:
Modeling the Interplay Between Individual Behavior and Network Distributions. CoRR abs/1511.02562 (2015) - 2014
- [i1]Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Will This Paper Increase Your h-index? Scientific Impact Prediction. CoRR abs/1412.4754 (2014)
Coauthor Index
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