| A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes H Lakkaraju, E Aguiar, C Shan, D Miller, N Bhanpuri, R Ghani, ... ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015 | 184 | 2015 |
| Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence E Aguiar, GA Ambrose, NV Chawla, V Goodrich, J Brockman Journal of Learning Analytics 1 (3), 7-33, 2014 | 138* | 2014 |
| Private and oblivious set and multiset operations M Blanton, E Aguiar Proceedings of the 7th ACM Symposium on Information, Computer and …, 2012 | 87 | 2012 |
| Who, when, and why: a machine learning approach to prioritizing students at risk of not graduating high school on time E Aguiar, H Lakkaraju, N Bhanpuri, D Miller, B Yuhas, KL Addison, S Liu, ... Proceedings of the Fifth International Conference on Learning Analytics And …, 2015 | 80 | 2015 |
| An overview of issues and recent developments in cloud computing and storage security E Aguiar, Y Zhang, M Blanton High Performance Cloud Auditing and Applications, 3-33, 2013 | 71 | 2013 |
| Predicting online video engagement using clickstreams E Aguiar, S Nagrecha, NV Chawla 2015 IEEE international conference on data science and advanced analytics …, 2015 | 20 | 2015 |
| Qualitatively exploring electronic portfolios: a text mining approach to measuring student emotion as an early warning indicator F Nwanganga, E Aguiar, GA Ambrose, V Goodrich, NV Chawla Proceedings of the Fifth International Conference on Learning Analytics and …, 2015 | 12 | 2015 |
| Alive: A multi-relational link prediction environment for the healthcare domain RA Johnson, Y Yang, E Aguiar, A Rider, NV Chawla Emerging Trends in Knowledge Discovery and Data Mining: PAKDD 2012 …, 2013 | 8 | 2013 |
| Integration of ePortfolios in a First-Year Engineering Course for Measuring Student Engagement V Goodrich, E Aguiar, A G. Ambrose, L H. McWilliams, J Brockman, ... ASEE Annual Conference & Exposition, 2014 | 4 | 2014 |
| Identifying students at risk and beyond: A machine learning approach E Aguiar University of Notre Dame, 2015 | 3 | 2015 |
| Private and Oblivious Set and Multiset Operations E Aguiar University of Notre Dame, 2012 | | 2012 |
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre Damend.edu의 이메일 확인됨
