Scheduling Jobs with Precedence Constraints to Minimize Peak Demand. - Elliott Pryor; Brendan Mumey; Sean Yaw (COCOA, 2020)

A Study in Overlapping Factor Decomposition for Cooperative Co-Evolution. - Elliott Pryor; Amy Peerlinck; John Sheppard 001 (SSCI, 2021)

A Risk-Based Approach to Prognostics and Health Management Combining Bayesian Networks and Continuous-Time Bayesian Networks. - Jordan Schupbach; Elliott Pryor; Kyle Webster; John Sheppard 001 (IEEE Instrum. Meas. Mag., 2023)

Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes. - Anas El Fathi; Elliott Pryor; Marc D. Breton (CoRR, 2024)

Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes. - Alberto Castillo 003; Elliott Pryor; Anas El Fathi; Boris P. Kovatchev; Marc D. Breton (CoRR, 2025)

Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes. - Alberto Castillo 002; Elliott Pryor; Anas El Fathi; Boris P. Kovatchev; Marc D. Breton (IEEE Trans. Cybern., 2025)