Ingrid Y. Padilla

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 3

Top Topics

Base Classifiers

Ensemble Learning

Top Venues

Publications

Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA (2020)
Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData (2018)
Shi Dong, Zlatan Feric, Leiming Yu, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh
An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT). IEEE BigData (2018)