| Calibrating probability with undersampling for unbalanced classification A Dal Pozzolo, O Caelen, RA Johnson, G Bontempi 2015 IEEE symposium series on computational intelligence, 159-166, 2015 | 506 | 2015 |
| Will This Paper Increase Your h-index? Scientific Impact Prediction Y Dong, RA Johnson, NV Chawla Proceedings of the eighth ACM international conference on web search and …, 2015 | 109 | 2015 |
| Can scientific impact be predicted? Y Dong, RA Johnson, NV Chawla IEEE Transactions on Big Data 2 (1), 18-30, 2016 | 94 | 2016 |
| Species distribution modeling and prediction: A class imbalance problem RA Johnson, NV Chawla, JJ Hellmann 2012 Conference on intelligent data understanding, 9-16, 2012 | 44 | 2012 |
| Using HDDT to avoid instances propagation in unbalanced and evolving data streams A Dal Pozzolo, R Johnson, O Caelen, S Waterschoot, NV Chawla, ... 2014 International Joint Conference on Neural Networks (IJCNN), 588-594, 2014 | 27 | 2014 |
| Structural diversity and homophily: A study across more than one hundred big networks Y Dong, RA Johnson, J Xu, NV Chawla Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 25 | 2017 |
| The state of data in healthcare: path towards standardization K Feldman, RA Johnson, NV Chawla Journal of Healthcare Informatics Research 2, 248-271, 2018 | 19 | 2018 |
| Will This Paper Increase Your h-index? Y Dong, RA Johnson, NV Chawla Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 15 | 2015 |
| Collaboration signatures reveal scientific impact Y Dong, RA Johnson, Y Yang, NV Chawla Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 14 | 2015 |
| Design and evaluation of a medication adherence application with communication for seniors in independent living communities D Dasgupta, RA Johnson, B Chaudhry, KG Reeves, P Willaert, ... Amia annual symposium proceedings 2016, 480, 2016 | 11 | 2016 |
| Characterizing online health and wellness information consumption: A study A Nigam, RA Johnson, D Wang, NV Chawla Information Fusion 46, 33-43, 2019 | 8 | 2019 |
| FraudBuster: Reducing fraud in an auto insurance market S Nagrecha, RA Johnson, NV Chawla Big data 6 (1), 3-12, 2018 | 8 | 2018 |
| A data-driven framework for identifying high school students at risk of not graduating on time RA Johnson, R Gong, S Greatorex-Voith, A Anand, A Fritzler Bloomberg Data for Good Exchange Conf 5, 2015 | 8 | 2015 |
| ALIVE: A multi-relational link prediction environment for the healthcare domain RA Johnson, Y Yang, E Aguiar, A Rider, NV Chawla Pacific-Asia Conference on Knowledge Discovery and Data Mining, 36-46, 2012 | 8 | 2012 |
| Classifier evaluation with missing negative class labels AK Rider, RA Johnson, DA Davis, TR Hoens, NV Chawla Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA …, 2013 | 5 | 2013 |
| Structural diversity and homophily: a study across more than one hundred large-scale networks Y Dong, RA Johnson, J Xu, NV Chawla arXiv preprint arXiv:1602.07048, 2016 | 2 | 2016 |
| Optimizing classifiers for hypothetical scenarios RA Johnson, T Raeder, NV Chawla Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 2 | 2015 |
| HIH Insurance Limited: corporate governance and audit issues R Johnson, J Xu Deakin University, 2004 | 2 | 2004 |
| Data Science for Imbalanced Data: Methods and Applications RA Johnson University of Notre Dame, 2016 | 1 | 2016 |
| Modeling the interplay between individual behavior and network distributions Y Yang, J Tang, Y Dong, Q Mei, RA Johnson, NV Chawla arXiv preprint arXiv:1511.02562, 2015 | 1 | 2015 |
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
