Ingrid Y. Padilla

According to our database, Ingrid Y. Padilla authored at least 3 papers between 2018 and 2020.

Collaborative distances:

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

2020

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth.

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

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2018

An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT).

Shi Dong, Zlatan Feric, Leiming Yu, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies.

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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018