Marianthi-Anna Kioumourtzoglou

According to our database, Marianthi-Anna Kioumourtzoglou authored at least 5 papers between 2018 and 2025.

Collaborative distances:

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

2025

Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing.

Vijay Kumar, Jaime Benavides, Carlos Carrillo-Gallegos, Gil Speyer, Marianthi-Anna Kioumourtzoglou

Proceedings of the IEEE High Performance Extreme Computing Conference, 2025

2024

AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease.

Yike Shen, Arce Domingo-Relloso, Allison Kupsco, Marianthi-Anna Kioumourtzoglou, Maria Tellez-Plaza, Jason G. Umans, Amanda M. Fretts, Ying Zhang, Peter F. Schnatz, Ramon Casanova, Lisa Warsinger Martin, Steve Horvath, JoAnn E. Manson, Shelley A Cole, Haotian Wu, Eric A Whitsel, Andrea A. Baccarelli, Ana Navas-Acien, Feng Gao

Briefings Bioinform., November, 2024

2022

Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations.

John W. Paisley, Sebastian Rowland, Jeremiah Zhe Liu, Brent A. Coull, Marianthi-Anna Kioumourtzoglou

Proceedings of the IEEE International Conference on Big Data, 2022

2019

Accurate Uncertainty Estimation and Decomposition in Ensemble Learning.

Jeremiah Z. Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process.

Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull

CoRR, 2018