Matthew Pietrosanu

According to our database, Matthew Pietrosanu authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor Compression.

Matthew Pietrosanu, Bei Jiang, Linglong Kong

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder.

Johannes Kiechle, Dylan Miller, Jordan Slessor, Matthew Pietrosanu, Linglong Kong, Christian Beaulieu, Dana Cobzas

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach.

Matthew Pietrosanu, Linglong Kong, Yan Yuan, Rhonda C. Bell, Nicole Letourneau, Bei Jiang

Entropy, 2022

2021

Advanced algorithms for penalized quantile and composite quantile regression.

Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu

Comput. Stat., 2021

Handling missing birthdates in marginal regression analysis with recurrent events.

Matthew Pietrosanu, Rhonda J. Rosychuk, X. Joan Hu

Commun. Stat. Simul. Comput., 2021