Reid A. Johnson

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Highest Accuracy

Probabilistic Classifiers

Evolving Data Streams

Top Venues

J. Heal. Informatics Res.

Publications

Reid A. Johnson
quantile-forest: A Python Package for Quantile Regression Forests. J. Open Source Softw. 9 (94) (2024)
Faraz Moghimi, Reid A. Johnson, Andy Krause
Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN). ICMLA (2023)
Aastha Nigam, Reid A. Johnson, Dong Wang, Nitesh V. Chawla
Characterizing online health and wellness information consumption: A study. Inf. Fusion 46 (2019)
Saurabh Nagrecha, Reid A. Johnson, Nitesh V. Chawla
FraudBuster: Reducing Fraud in an Auto Insurance Market. Big Data 6 (1) (2018)
Keith Feldman, Reid A. Johnson, Nitesh V. Chawla
The State of Data in Healthcare: Path Towards Standardization. J. Heal. Informatics Res. 2 (3) (2018)
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)
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 (2016)
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)
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
Can Scientific Impact Be Predicted? IEEE Trans. Big Data 2 (1) (2016)
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
Can Scientific Impact Be Predicted? CoRR (2016)
Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla
Modeling the Interplay Between Individual Behavior and Network Distributions. CoRR (2015)
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
Will This Paper Increase Your h-index? ECML/PKDD (3) (2015)
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
-index?: Scientific Impact Prediction. WSDM (2015)
Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi
Calibrating Probability with Undersampling for Unbalanced Classification. SSCI (2015)
Reid A. Johnson, Troy Raeder, Nitesh V. Chawla
Optimizing Classifiers for Hypothetical Scenarios. PAKDD (1) (2015)
Yuxiao Dong, Reid A. Johnson, Yang Yang, Nitesh V. Chawla
Collaboration Signatures Reveal Scientific Impact. ASONAM (2015)
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
Will This Paper Increase Your h-index? Scientific Impact Prediction. CoRR (2014)
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)
Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, Nitesh V. Chawla
Classifier Evaluation with Missing Negative Class Labels. IDA (2013)
Reid A. Johnson, Nitesh V. Chawla, Jessica J. Hellmann
Species distribution modeling and prediction: A class imbalance problem. CIDU (2012)
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)