| MOOC dropout prediction: lessons learned from making pipelines interpretable S Nagrecha, JZ Dillon, NV Chawla Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 52 | 2017 |
| Multi-hop communications in a swarm of UAVs. R Purta, S Nagrecha, GR Madey SpringSim (ADS), 5, 2013 | 19 | 2013 |
| Predicting online video engagement using clickstreams E Aguiar, S Nagrecha, NV Chawla 2015 IEEE international conference on data science and advanced analytics …, 2015 | 14 | 2015 |
| Predicting chronic heart failure using diagnoses graphs S Nagrecha, PB Thomas, K Feldman, NV Chawla International Cross-Domain Conference for Machine Learning and Knowledge …, 2017 | 6 | 2017 |
| Comparison of gene co-expression networks and bayesian networks S Nagrecha, PJ Lingras, NV Chawla Asian Conference on Intelligent Information and Database Systems, 507-516, 2013 | 6 | 2013 |
| FraudBuster: Reducing fraud in an auto insurance market S Nagrecha, RA Johnson, NV Chawla Big data 6 (1), 3-12, 2018 | 5 | 2018 |
| Graph embeddings at scale CB Bruss, A Khazane, J Rider, R Serpe, S Nagrecha, KE Hines arXiv preprint arXiv:1907.01705, 2019 | 3 | 2019 |
| Recurrent subgraph prediction S Nagrecha, NV Chawla, H Bunke Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 2 | 2015 |
| Quantifying decision making for data science: from data acquisition to modeling S Nagrecha, NV Chawla EPJ Data Science 5 (1), 27, 2016 | 1 | 2016 |
| Graph Embeddings at Scale C Bayan Bruss, A Khazane, J Rider, R Serpe, S Nagrecha, KE Hines arXiv e-prints, arXiv: 1907.01705, 2019 | | 2019 |
| Cambio Score: quantifying climate-change impacts for MSMEs in developing countries NV Chawla, S Nagrecha Private-sector action in adaptation: Perspectives on the role of micro …, 2018 | | 2018 |
| Operationalizing Classification in Applied Machine Learning S Nagrecha University of Notre Dame, 2017 | | 2017 |
| Simulating Multi-hop Communications in a Swarm of UAVs R Purta, S Nagrecha | | |
