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ORCIDEitel J. M. Lauría
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2020 – today
- 2022
[c12]Augusto Gonzalez-Bonorino, Eitel J. M. Lauría
, Edward Presutti:
Implementing Open-Domain Question-Answering in a College Setting: An End-to-End Methodology and a Preliminary Exploration. CSEDU (2) 2022: 66-75- 2021
- [c11]Eitel J. M. Lauría:
Framing Early Alert of Struggling Students as an Anomaly Detection Problem: An Exploration. CSEDU (1) 2021: 26-35 - 2020
- [c10]Eitel J. M. Lauría, Eric Stenton, Edward Presutti:
Boosting Early Detection of Spring Semester Freshmen Attrition: A Preliminary Exploration. CSEDU (2) 2020: 130-138
2010 – 2019
- 2018
- [c9]Eitel J. M. Lauría, Edward Presutti, Maria Kapogiannis, Anuya Kamath:
Stacking Classifiers for Early Detection of Students at Risk. CSEDU (1) 2018: 390-397 - 2016
- [c8]Sandeep M. Jayaprakash, Eitel J. M. Lauría, Pritesh Gandhi, Dinesh Mendhe:
Benchmarking student performance and engagement in an early alert predictive system using interactive radar charts. LAK 2016: 526-527 - 2014
- [j8]Sandeep M. Jayaprakash, Erik W. Moody, Eitel J. M. Lauría, James R. Regan, Joshua D. Baron:
Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative. J. Learn. Anal. 1(1): 6-47 (2014) - [c7]Sandeep M. Jayaprakash, Eitel J. M. Lauría:
Open academic early alert system: technical demonstration. LAK 2014: 267-268 - 2013
- [j7]Peter Duchessi, Eitel J. M. Lauría:
Decision tree models for profiling ski resorts' promotional and advertising strategies and the impact on sales. Expert Syst. Appl. 40(15): 5822-5829 (2013) - [c6]Eitel J. M. Lauría, Erik W. Moody, Sandeep M. Jayaprakash, Nagamani Jonnalagadda, Joshua D. Baron:
Open academic analytics initiative: initial research findings. LAK 2013: 150-154 - 2012
- [c5]Eitel J. M. Lauría, Joshua D. Baron, Mallika Devireddy, Venniraiselvi Sundararaju, Sandeep M. Jayaprakash:
Mining academic data to improve college student retention: an open source perspective. LAK 2012: 139-142 - 2011
- [j6]Eitel J. M. Lauría, Alan D. March:
Combining Bayesian Text Classification and Shrinkage to Automate Healthcare Coding: A Data Quality Analysis. ACM J. Data Inf. Qual. 2(3): 13:1-13:22 (2011) - 2010
- [j5]Sanjay Goel, Eitel J. M. Lauría:
Quantification, Optimization and Uncertainty Modeling in Information Security Risks: A Matrix-Based Approach. Inf. Resour. Manag. J. 23(2): 33-52 (2010) - [c4]Eitel J. M. Lauría, Carlos A. Greco:
OLAP for Financial Analysis and Planning - A Proof of Concept. ICSOFT (1) 2010: 347-355
2000 – 2009
- 2009
- [j4]Craig W. Fisher, Eitel J. M. Lauría, Carolyn C. Matheus:
An Accuracy Metric: Percentages, Randomness, and Probabilities. ACM J. Data Inf. Qual. 1(3): 16:1-16:21 (2009) - 2008
- [p1]Eitel J. M. Lauría:
An Information-Geometric Approach to Learning Bayesian Network Topologies from Data. Innovations in Bayesian Networks 2008: 187-217 - 2007
- [j3]Eitel J. M. Lauría, Peter Duchessi:
A methodology for developing Bayesian networks: An application to information technology (IT) implementation. Eur. J. Oper. Res. 179(1): 234-252 (2007) - [c3]Craig W. Fisher, Eitel J. M. Lauría, Carolyn C. Matheus:
In Search Of An Accuracy Metric. ICIQ 2007: 379-392 - 2006
- [j2]Eitel J. M. Lauría, Peter Duchessi:
A Bayesian Belief Network for IT implementation decision support. Decis. Support Syst. 42(3): 1573-1588 (2006) - [j1]Eitel J. M. Lauría:
Exploring the Behavioral Dimension of Client/Server Technology Implementation: An Empirical Investigation. Int. J. Technol. Hum. Interact. 2(3): 63-81 (2006) - [c2]Eitel J. M. Lauría, Alan D. March:
Effect of Dirty Data on Free Text Discharge Diagnoses used for Automated ICD-9-CM Coding. AMCIS 2006: 188 - 2005
- [r1]Eitel J. M. Lauría:
Bayesian Machine Learning. Encyclopedia of Information Science and Technology (I) 2005: 229-235 - 2003
- [c1]Eitel J. M. Lauría, Giri Kumar Tayi:
A Comparative Study of Data Mining Algorithms for Network Intrusion Detection in the Presence of Poor Quality Data. ICIQ 2003: 190-201
Coauthor Index
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