Reid A. Johnson

According to our database, Reid A. Johnson authored at least 20 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

quantile-forest: A Python Package for Quantile Regression Forests.

Reid A. Johnson

J. Open Source Softw., February, 2024

2023

Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN).

Faraz Moghimi, Reid A. Johnson, Andy Krause

Proceedings of the International Conference on Machine Learning and Applications, 2023

2019

Characterizing online health and wellness information consumption: A study.

Aastha Nigam, Reid A. Johnson, Dong Wang, Nitesh V. Chawla

Inf. Fusion, 2019

2018

The State of Data in Healthcare: Path Towards Standardization.

Keith Feldman, Reid A. Johnson, Nitesh V. Chawla

J. Heal. Informatics Res., 2018

FraudBuster: Reducing Fraud in an Auto Insurance Market.

Saurabh Nagrecha, Reid A. Johnson, Nitesh V. Chawla

Big Data, 2018

2017

Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks.

Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

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 Large-Scale Networks.

Yuxiao Dong, Reid A. Johnson, Jian Xu, Nitesh V. Chawla

CoRR, 2016

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

Proceedings of the AMIA 2016, 2016

2015

Modeling the Interplay Between Individual Behavior and Network Distributions.

Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla

CoRR, 2015

Will This Paper Increase Your <i>h</i>-index?: Scientific Impact Prediction.

Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Calibrating Probability with Undersampling for Unbalanced Classification.

Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Will This Paper Increase Your h-index?

Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Optimizing Classifiers for Hypothetical Scenarios.

Reid A. Johnson, Troy Raeder, Nitesh V. Chawla

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Collaboration Signatures Reveal Scientific Impact.

Yuxiao Dong, Reid A. Johnson, Yang Yang, Nitesh V. Chawla

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Will This Paper Increase Your h-index? Scientific Impact Prediction.

Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla

CoRR, 2014

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Classifier Evaluation with Missing Negative Class Labels.

Andrew K. Rider, Reid A. Johnson, Darcy A. Davis, T. Ryan Hoens, Nitesh V. Chawla

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012

ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain.

Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, Nitesh V. Chawla

Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012

Species distribution modeling and prediction: A class imbalance problem.

Reid A. Johnson, Nitesh V. Chawla, Jessica J. Hellmann

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012