Posts by Collection

portfolio

publications

Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy

Published in IEEE International Conference on Big Data, 2021

Hyperparameter optimization for deep neural networks to classify Compton camera data for proton therapy image reconstruction.

Recommended citation: S.A. York, A.M. Ali, D.C. Lashbrooke Jr., R. Yepez-Lopez, C.A. Barajas, M.K. Gobbert, J.C. Polf. "Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy." IEEE Big Data 2021.
Download Paper

Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data

Published in IEEE International Conference on Big Data, 2022

Machine learning approach for 8-class multi-layer cloud classification using NASA satellite imagery with data augmentation for imbalanced data.

Recommended citation: L. Ding, R. Corizzo, N. Ching, S. Login, R. Yepez-Lopez, C. Bellinger, J. Gong, D.L. Wu. "Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data." IEEE Big Data 2022.
Download Paper

LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management

Published in IEEE International Conference on Big Data, 2022

Deep learning approach using LSTM networks for forecasting air leak resolution in post-operative chest tube patients.

Recommended citation: R. Corizzo, R. Yepez-Lopez, S. Gilbert, N. Japkowicz. "LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management." IEEE Big Data 2022.
Download Paper

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.