The rise and fall of learning: a neural network model of the genetic assimilation of acquired traits. - James R. Watson; Janet Wiles (IEEE Congress on Evolutionary Computation, 2002)

The Spatial Dynamics of Predators and the Benefits and Costs of Sharing Information. - Matthieu Barbier; James R. Watson (PLoS Comput. Biol., 2016)

Anticipating Illegal Maritime Activities from Anomalous Multiscale Fleet Behaviors. - James R. Watson; A. John Woodill (CoRR, 2019)

Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes. - A. John Woodill; Maria Kavanaugh; Michael Harte; James R. Watson (CoRR, 2020)

Identifying multiscale spatio-temporal patterns in human mobility using manifold learning. - James R. Watson; Zach Gelbaum; Mathew Titus; Grant Zoch; David Wrathall (PeerJ Comput. Sci., 2020)

Unsupervised manifold learning of collective behavior. - Mathew Titus; George Hagstrom; James R. Watson (PLoS Comput. Biol., 2021)

Rate-Induced Transitions in Networked Complex Adaptive Systems: Exploring Dynamics and Management Implications Across Ecological, Social, and Socioecological Systems. - Vítor V. Vasconcelos; Flavia Maria Darcie Marquitti; Theresa Ong; Lisa C. McManus; Marcus Aguiar; Amanda B. Campos; Partha S. Dutta; Kristen Jovanelly; Victoria Junquera; Jude Kong; Elisabeth H. Krueger; Simon A. Levin; et al. (CoRR, 2023)