Vermont EPSCoR Publications and Products
] . Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Data Sets. In: Genetic and Evolutionary Computation Conference (GECCO 2016). Genetic and Evolutionary Computation Conference (GECCO 2016). Denver, CO; 2016. Available from: http://gecco-2016.sigevo.org/index.html/Papers
. Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population. Thyroid [Internet]. 2015 ;25(7):812 - 822. Available from: http://online.liebertpub.com/doi/10.1089/thy.2015.0039
. Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental ScalesAbstractKey Points. Water Resources Research [Internet]. 2023 ;59(3). Available from: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021WR030551
. A Novel Evolutionary Algorithm for Mining Noisy Survey Datasets with an Application Toward Combating Chagas Disease. Journal on Policy and Complex Systems. 2017 ;3(2).
. Residual survival and local dispersal drive reinfestation by Triatoma dimidiata following insecticide application in Guatemala. Infection, Genetics and Evolution [Internet]. 2019 ;74:104000. Available from: https://www.sciencedirect.com/science/article/pii/S1567134818307007
. A Tandem Evolutionary Algorithm for Identifying Causal Rules from Complex Data. Evolutionary Computation [Internet]. 2019 :1 - 32. Available from: https://www.mitpressjournals.org/doi/abs/10.1162/evco_a_00252
Training Systems Modelers through the Development of a Multi-scale Chagas Disease Risk Model. In: EOS Transactions, American Geophysical Union, Fall Meeting. EOS Transactions, American Geophysical Union, Fall Meeting. San Francisco, CA; 2012.
Uncovering vector, parasite, blood meal and microbiome patterns from mixed-DNA specimens of the Chagas disease vector Triatoma dimidiata . PLOS Neglected Tropical Diseases [Internet]. 2018 . Available from: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0006730#ack