| 2015 | DSAA | Predicting online video engagement using clickstreams. | Everaldo Aguiar, Saurabh Nagrecha, Nitesh V. Chawla |
| 2015 | KDD | A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes. | Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani, Kecia L. Addison |
| 2015 | LAK | Who, when, and why: a machine learning approach to prioritizing students at risk of not graduating high school on time. | Everaldo Aguiar, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia L. Addison |
| 2015 | LAK | Qualitatively exploring electronic portfolios: a text mining approach to measuring student emotion as an early warning indicator. | Frederick Nwanganga, Everaldo Aguiar, G. Alex Ambrose, Victoria Goodrich, Nitesh V. Chawla |
| 2014 | LAK | Engagement vs performance: using electronic portfolios to predict first semester engineering student retention. | Everaldo Aguiar, Nitesh V. Chawla, Jay B. Brockman, G. Alex Ambrose, Victoria Goodrich |
| 2012 | CCS | Private and oblivious set and multiset operations. | Marina Blanton, Everaldo Aguiar |
| 2012 | PAKDD | ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain. | Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, Nitesh V. Chawla |