Everaldo Aguiar, PhD

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Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
David I. MillerSenior Researcher, American Institutes for ResearchDirección de correo verificada de air.org
Himabindu LakkarajuAssistant Professor, Harvard UniversityDirección de correo verificada de seas.harvard.edu
Nasir BhanpuriMachine Learning & Data Science, Virta HealthDirección de correo verificada de virtahealth.com
G. Alex AmbroseUniversity of Notre DameDirección de correo verificada de nd.edu
Marina BlantonUniversity at Buffalo (SUNY)Dirección de correo verificada de buffalo.edu
Jay BrockmanAssociate Professor of Computer Science and Engineering, University of Notre DameDirección de correo verificada de nd.edu
Rayid GhaniCarrnegie Mellon UniversityDirección de correo verificada de rayidghani.com
Saurabh NagrechaGoogleDirección de correo verificada de google.com
Yang YangMendoza College of Business, University of Notre DameDirección de correo verificada de nd.edu

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Everaldo Aguiar, PhD

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Learning Analytics Early Warning Systems Educational Data Mining Privacy Preserving Operations


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	231	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	162*	2014
Private and oblivious set and multiset operations M Blanton, E Aguiar Proceedings of the 7th ACM symposium on information, computer and …, 2012	116	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	93	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	73	2013
Predicting online video engagement using clickstreams E Aguiar, S Nagrecha, NV Chawla 2015 IEEE international conference on data science and advanced analytics …, 2015	21	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	13	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	11	2013
Identifying students at risk and beyond: A machine learning approach E Aguiar University of Notre Dame, 2015	5	2015
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	5	2014
Private and Oblivious Set and Multiset Operations E Aguiar University of Notre Dame, 2012		2012

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