Jacob R. Epifano

According to our database, Jacob R. Epifano authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Efficient Scaling of Bayesian Neural Networks.

Jacob R. Epifano, Timothy Duong, Ravi Prakash Ramachandran, Ghulam Rasool

IEEE Access, 2024

2023

Revisiting the fragility of influence functions.

Jacob R. Epifano, Ravi Prakash Ramachandran, Aaron J. Masino, Ghulam Rasool

Neural Networks, May, 2023

Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond.

Jacob R. Epifano, Stephen Glass, Ravi Prakash Ramachandran, Sharad Patel, Aaron J. Masino, Ghulam Rasool

CoRR, 2023

A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU.

Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi Prakash Ramachandran, Aakash Tripathi, Ghulam Rasool

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Opening Access to Visual Exploration of Audiovisual Digital Biomarkers: an OpenDBM Analytics Tool.

Carla Floricel, Jacob R. Epifano, Stephanie Caamano, Sarah M. Kark, Rich Christie, Aaron J. Masino, Andre D. Paredes

CoRR, 2022

2020

Towards an Explainable Mortality Prediction Model.

Jacob R. Epifano, Ravi Prakash Ramachandran, Sharad Patel, Ghulam Rasool

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020