Vermont EPSCoR Publications and Products


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Chichakly KJ, Bowden WB, Eppstein MJ. Minimization of cost, sediment load, and sensitivity to climate change in a watershed management application. Environmental Modelling & Software [Internet]. 2013 ;50:158 - 168. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1364815213002004
Gramling B, Rizzo DM, Eppstein MJ, Demarest B. Machine Learning Analysis of Serious Illness Conversations Predicts Patient Reports of Feeling Heard & Understood. In: 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. 51st NAPCRG (North American Primary Care Research Group) Annual Meeting. San Francisco, CA: North American Primary Care Research Group (NAPCRG); 2023. Available from: https://napcrg.org/conferences/2017/sessions/5279
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Chichakly KJ, Eppstein MJ. Improving uniformity of solution spacing in biobjective differential evolution. In: Genetic and Evolutionary Computation Conference (GECCO). Genetic and Evolutionary Computation Conference (GECCO). Amsterdam, The Netherlands; 2013. pp. 87-88. Available from: http://cs.uvm.edu/~meppstei/personal/USMDE_Gecco_2013.pdf
Manukyan N, Eppstein MJ, Rizzo DM. Improved Cluster identification and Visualization in high-dimensional Data using Self-Organizing Maps. In: EOS Transactions, American Geophysical Union Fall Meeting. EOS Transactions, American Geophysical Union Fall Meeting. San Francisco, CA; 2011. Available from: http://adsabs.harvard.edu/abs/2011AGUFM.H34D.07M
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Krupa JS, Chatterjee S, Eldridge E, Rizzo DM, Eppstein MJ. Feature Selection for Classification: A Plug-In Hybrid Vehicle Adoption Application. In: Genetic and Evolutionary Computation Conference (GECCO). Genetic and Evolutionary Computation Conference (GECCO). Philadelphia, PA; 2012. pp. 1111-1118.
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Manukyan N, Eppstein MJ, Horbar JD, Leahy KA, Kenny MJ, Mukherjee S, Rizzo DM. Exploratory Analysis in Time-Varying Data Sets: a Healthcare Network Application. IJACS (International Journal of Advanced Computer Science) [Internet]. 2013 [cited 0BC];3 (7):322-329. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25664281
Hanley JP, Eppstein MJ, Buzas JS, Rizzo DM. 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
Manukyan N, Eppstein MJ, Horbar JD, Leahy KA, Kenny MJ, Mukherjee S, Rizzo DM. Evolutionary Mining for Multivariate Associations in Large Time-varying Dataset: A Healthcare Network Application. In: Genetic and Evolutionary Computation Conference (GECCO). Genetic and Evolutionary Computation Conference (GECCO). ; 2012.