Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy. - Sokhna A. York; Alina M. Ali; David C. Lashbrooke; Rodrigo Yepez-Lopez; Carlos A. Barajas; Matthias K. Gobbert; Jerimy C. Polf (IEEE BigData, 2021)

LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management. - Roberto Corizzo; Rodrigo Yepez-Lopez; Sébastien Gilbert; Nathalie Japkowicz (IEEE Big Data, 2022)

Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data. - Leah Ding; Roberto Corizzo; Colin Bellinger; Nancy Ching; Spencer Login; Rodrigo Yepez-Lopez; Jie Gong; Dong L. Wu (IEEE Big Data, 2022)

Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams. - Ian Whitehouse; Rodrigo Yepez-Lopez; Roberto Corizzo (IEEE Big Data, 2023)