Rodney Sparapani

According to our database, Rodney Sparapani authored at least 8 papers between 2018 and 2026.

Collaborative distances:

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

2026

Explainable artificial intelligence in electrocardiography: A systematic review.

Amirsajjad Taleban, Rodney Sparapani, Patrick Noffke, Sharone Zlochiver, Qiang Lu, Michael E. Widlansky, Jake Luo

Biomed. Signal Process. Control., 2026

2025

Accelerated fitting of joint models of survival and longitudinal data with cumulative variations.

Yan Gao, Rodney A. Sparapani, Sergey S. Tarima

Comput. Stat., September, 2025

Multi-Level Explainable AI for ECG-Based Atrial Fibrillation Detection: Exploring LIME, SHAP, and Grad-CAM for Clinical Interpretation.

Jake Luo, Amirsajjad Taleban, Patrick Noffke, Rodney Sparapani

Proceedings of the 2025 9th International Conference on Medical and Health Informatics, 2025

2023

A Statistical Comparison of Heart Rate Variability Measurements Between Devices: Chest Strap Versus Finger Probe.

Mehri Bagheri-Mohamadi-Pour, Rodney Sparapani, Jun Zhang, Jacquelyn Kulinski

Proceedings of the Computing in Cardiology, 2023

2022

Bayesian Arc Length Survival Analysis Model (BALSAM): Theory and Application to an HIV/AIDS Clinical Trial.

Yan Gao, Rodney A. Sparapani, Sanjib Basu

CoRR, 2022

2021

Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package.

Rodney Sparapani, Charles Spanbauer, Robert E. McCulloch

J. Stat. Softw., 2021

Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning.

Robert E. McCulloch, Rodney A. Sparapani, Brent R. Logan, Purushottam W. Laud

CoRR, 2021

2018

Fully Nonparametric Bayesian Additive Regression Trees.

Edward I. George, Prakash Laud, Brent R. Logan, Robert E. McCulloch, Rodney Sparapani

CoRR, 2018