Species distribution modeling and prediction: A class imbalance problem. - Reid A. Johnson; Nitesh V. Chawla; Jessica J. Hellmann (CIDU, 2012)

ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain. - Reid A. Johnson; Yang Yang 008; Everaldo Aguiar; Andrew K. Rider; Nitesh V. Chawla (PAKDD Workshops, 2012)

Classifier Evaluation with Missing Negative Class Labels. - Andrew K. Rider; Reid A. Johnson; Darcy A. Davis; T. Ryan Hoens; Nitesh V. Chawla (IDA, 2013)

Using HDDT to avoid instances propagation in unbalanced and evolving data streams. - Andrea Dal Pozzolo; Reid A. Johnson; Olivier Caelen; Serge Waterschoot; Nitesh V. Chawla; Gianluca Bontempi (IJCNN, 2014)

Will This Paper Increase Your h-index? Scientific Impact Prediction. - Yuxiao Dong; Reid A. Johnson; Nitesh V. Chawla (CoRR, 2014)

Collaboration Signatures Reveal Scientific Impact. - Yuxiao Dong; Reid A. Johnson; Yang Yang 008; Nitesh V. Chawla (ASONAM, 2015)

Optimizing Classifiers for Hypothetical Scenarios. - Reid A. Johnson; Troy Raeder; Nitesh V. Chawla (PAKDD (1), 2015)

Will This Paper Increase Your h-index? - Yuxiao Dong; Reid A. Johnson; Nitesh V. Chawla (ECML/PKDD (3), 2015)

Calibrating Probability with Undersampling for Unbalanced Classification. - Andrea Dal Pozzolo; Olivier Caelen; Reid A. Johnson; Gianluca Bontempi (SSCI, 2015)

Will This Paper Increase Your h-index?: Scientific Impact Prediction. - Yuxiao Dong; Reid A. Johnson; Nitesh V. Chawla (WSDM, 2015)

Modeling the Interplay Between Individual Behavior and Network Distributions. - Yang Yang 009; Jie Tang 001; Yuxiao Dong; Qiaozhu Mei; Reid A. Johnson; Nitesh V. Chawla (CoRR, 2015)

Design and Evaluation of a Medication Adherence Application with Communication for Seniors in Independent Living Communities. - Dipanwita Dasgupta; Reid A. Johnson; Beenish M. Chaudhry; Kimberly Green Reeves; Patty Willaert; Nitesh V. Chawla (AMIA, 2016)

Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks. - Yuxiao Dong; Reid A. Johnson; Jian Xu 019; Nitesh V. Chawla (CoRR, 2016)

Can Scientific Impact Be Predicted? - Yuxiao Dong; Reid A. Johnson; Nitesh V. Chawla (IEEE Trans. Big Data, 2016)

Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks. - Yuxiao Dong; Reid A. Johnson; Jian Xu 019; Nitesh V. Chawla (KDD, 2017)

FraudBuster: Reducing Fraud in an Auto Insurance Market. - Saurabh Nagrecha; Reid A. Johnson; Nitesh V. Chawla (Big Data, 2018)

The State of Data in Healthcare: Path Towards Standardization. - Keith Feldman; Reid A. Johnson; Nitesh V. Chawla (J. Heal. Informatics Res., 2018)

Characterizing online health and wellness information consumption: A study. - Aastha Nigam; Reid A. Johnson; Dong Wang 002; Nitesh V. Chawla (Inf. Fusion, 2019)

Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN). - Faraz Moghimi; Reid A. Johnson; Andy Krause (ICMLA, 2023)

quantile-forest: A Python Package for Quantile Regression Forests. - Reid A. Johnson (J. Open Source Softw., 2024)