End-To-End Prediction of Emotion from Heartbeat Data Collected by a Consumer Fitness Tracker. - Ross Harper; Joshua Southern (ACII, 2019)

A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion From Heartbeat. - Ross Harper; Joshua Southern (IEEE Trans. Affect. Comput., 2022)

Curvature Filtrations for Graph Generative Model Evaluation. - Joshua Southern; Jeremy Wayland; Michael M. Bronstein; Bastian Rieck (NeurIPS, 2023)

Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity. - Joshua Southern; Francesco Di Giovanni; Michael M. Bronstein; Johannes F. Lutzeyer (CoRR, 2024)

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations. - Kyle Higgins; Olga P. Nyssen; Joshua Southern; Ivan Laponogov; Aida Consortium; Dennis Veselkov; Javier P. Gisbert; Tania Fleitas Kanonnikoff; Kirill A. Veselkov (CoRR, 2024)

Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes. - Luis Rita; Joshua Southern; Ivan Laponogov; Kyle Higgins; Kirill A. Veselkov (Mach. Learn. Knowl. Extr., 2024)

Understanding Virtual Nodes: Oversquashing and Node Heterogeneity. - Joshua Southern; Francesco Di Giovanni; Michael M. Bronstein; Johannes F. Lutzeyer (ICLR, 2025)

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality. - Joshua Southern; Yam Eitan; Guy Bar-Shalom; Michael M. Bronstein; Haggai Maron; Fabrizio Frasca (CoRR, 2025)