Everaldo Aguiar

According to our database, Everaldo Aguiar authored at least 8 papers between 2012 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Private and oblivious set and multiset operations.

Marina Blanton, Everaldo Aguiar

Int. J. Inf. Sec., 2016

2015

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

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

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

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

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

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Predicting online video engagement using clickstreams.

Everaldo Aguiar, Saurabh Nagrecha, Nitesh V. Chawla

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence.

Everaldo Aguiar, G. Alex Ambrose, Nitesh V. Chawla, Victoria Goodrich, Jay B. Brockman

J. Learn. Anal., November, 2014

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

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

2012

ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain.

Reid A. Johnson, Yang Yang, Everaldo Aguiar, Andrew K. Rider, Nitesh V. Chawla

Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012