Reid A. Johnson

21 papers A* 1A 1B 3C 1Misc 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
quantile-forest: A Python Package for Quantile Regression Forests.
J. Open Source Softw.
Reid A. Johnson
2023 C conf
Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN).
ICMLA
Faraz Moghimi, Reid A. Johnson, Andy Krause
2019 J jnl
Characterizing online health and wellness information consumption: A study.
Inf. Fusion
Aastha Nigam, Reid A. Johnson, Dong Wang, Nitesh V. Chawla
2018 J jnl
FraudBuster: Reducing Fraud in an Auto Insurance Market.
Big Data
Saurabh Nagrecha, Reid A. Johnson, Nitesh V. Chawla
2018 J jnl
The State of Data in Healthcare: Path Towards Standardization.
J. Heal. Informatics Res.
Keith Feldman, Reid A. Johnson, Nitesh V. Chawla
2017 A* conf
Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks.
KDD
Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla
2016 J jnl
Can Scientific Impact Be Predicted?
CoRR
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
2016 J jnl
Can Scientific Impact Be Predicted?
IEEE Trans. Big Data
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
2016 Misc conf
Design and Evaluation of a Medication Adherence Application with Communication for Seniors in Independent Living Communities.
AMIA
Dipanwita Dasgupta, Reid A. Johnson, Beenish M. Chaudhry, Kimberly Green Reeves, Patty Willaert, Nitesh V. Chawla
2016 J jnl
Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks.
CoRR
Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla
2015 — conf
Calibrating Probability with Undersampling for Unbalanced Classification.
SSCI
Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi
2015 B conf
Collaboration Signatures Reveal Scientific Impact.
ASONAM
Yuxiao Dong, Reid A. Johnson, Yang Yang, Nitesh V. Chawla
2015 J jnl
Modeling the Interplay Between Individual Behavior and Network Distributions.
CoRR
Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla
2015 — conf
Optimizing Classifiers for Hypothetical Scenarios.
PAKDD (1)
Reid A. Johnson, Troy Raeder, Nitesh V. Chawla
2015 A conf
Will This Paper Increase Your
WSDM
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
2015 — conf
Will This Paper Increase Your h-index?
ECML/PKDD (3)
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
2014 B conf
Using HDDT to avoid instances propagation in unbalanced and evolving data streams.
IJCNN
Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi
2014 J jnl
Will This Paper Increase Your h-index? Scientific Impact Prediction.
CoRR
Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla
2013 B conf
Classifier Evaluation with Missing Negative Class Labels.
IDA
Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, Nitesh V. Chawla
2012 — conf
ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain.
PAKDD Workshops
Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, Nitesh V. Chawla
2012 — conf
Species distribution modeling and prediction: A class imbalance problem.
CIDU
Reid A. Johnson, Nitesh V. Chawla, Jessica J. Hellmann