Everaldo Aguiar
제목
인용
인용
연도
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
1082015
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
92*2014
Private and oblivious set and multiset operations
M Blanton, E Aguiar
International Journal of Information Security 15 (5), 493-518, 2016
592016
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
482015
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
382014
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
132015
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
92015
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
72012
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
32014
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
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–12