Everaldo Aguiar
Title
Cited by
Cited by
Year
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
1272015
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
108*2014
Private and oblivious set and multiset operations
M Blanton, E Aguiar
International Journal of Information Security 15 (5), 493-518, 2016
692016
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
582015
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, 2014
472014
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, 1-31, 2012
162012
Predicting online video engagement using clickstreams
E Aguiar, S Nagrecha, NV Chawla
2015 IEEE international conference on data science and advanced analytics …, 2015
142015
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
122015
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
82012
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
42014
Identifying students at risk and beyond: A machine learning approach
E Aguiar
University of Notre Dame, 2015
12015
Private and Oblivious Set and Multiset Operations
EM de Aguiar Jr
University of Notre Dame, 2012
2012
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Articles 1–12