Facilitating the Interoperability and Reuse of Extensions of Fuzzy Cognitive Maps. - Ryan Schuerkamp; Philippe J. Giabbanelli; Nicolas Daclin (ANNSIM, 2023)

How to combine models? Principles and mechanisms to aggregate fuzzy cognitive maps. - Ryan Schuerkamp; Philippe J. Giabbanelli; Umberto Grandi; Sylvie Doutre (WSC, 2023)

Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art. - Ryan Schuerkamp; Luke Liang; Ketra L. Rice; Philippe J. Giabbanelli (Comput., 2023)

Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). - Ryan Schuerkamp; Xinyu Li; Brian Kunzer; Leonard S. Weiss; Hernando Gómez; Francis X. Guyette; Michael R. Pinsky; Artur Dubrawski (AAAI, 2024)

Guiding prevention initiatives by applying network analysis to systems maps of adverse childhood experiences and adolescent suicide. - Benjamin D. Maldonado; Ryan Schuerkamp; Cassidy M. Martin; Ketra L. Rice; Nisha Nataraj; Margaret M. Brown; Christopher R. Harper; Curtis S. Florence; Philippe J. Giabbanelli (Netw. Sci., 2024)

Extensions of Fuzzy Cognitive Maps: A Systematic Review. - Ryan Schuerkamp; Philippe J. Giabbanelli (ACM Comput. Surv., 2024)

Automatically resolving conflicts between expert systems: An experimental approach using large language models and fuzzy cognitive maps from participatory modeling studies. - Ryan Schuerkamp; Hannah Ahlstrom; Philippe J. Giabbanelli (Knowl. Based Syst., 2025)

Guiding evolutionary algorithms with large language models to learn fuzzy cognitive maps. - Ryan Schuerkamp; Philippe J. Giabbanelli (Neural Comput. Appl., 2025)