TALKS

2025

Simon Fontaine, Lingzhou Xue, Bing Li (2025). Bayesian Fréchet Regression.

2024

Simon Fontaine, Nisha J D'Silva, Marcell Costa De Medeiros, Ji Zhu, Gen Li (2024). Locally sparse varying coefficient mixed model for longitudinal differential abundance analysis.

2023

Simon Fontaine, Nisha J D'Silva, Marcell Costa De Medeiros, Ji Zhu, Gen Li (2023). Locally sparse varying coefficient mixed model for longitudinal differential abundance analysis.

Mukai Wang, Simon Fontaine, Hui Jiang, Gen Li (2023). POLDA: Pooling Overdispersed Logistic Regressions for Microbiome Differential Abundance Analysis.

2022

Joel H Rubenstein, Simon Fontaine (2022). Using machine learning to adapt tools predicting esophageal adenocarcinoma for use with electronic medical data.

2021

Simon Fontaine, Ji Zhu (2021). Missing Value Imputation of Network Node Attributes.

2019

Nicolas Grenon-Godbout, Jonathan Dumas, Simon Fontaine, Gabrielle Rit, Timothy Park (2019). Online Skill Rating Algorithms.