Vermont EPSCoR Publications and Products


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Author Title [ Type(Desc)] Year
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Conference Paper and Presentation
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.
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
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.
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
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
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
Payne JL, Eppstein MJ, Goodnight CJ. Sensitivity of Self-Organized Speciation to Long-Disctance Dispersal. In: 2007 IEEE Symposium on Artificial Life2007 IEEE Symposium on Artificial Life. 2007 IEEE Symposium on Artificial Life2007 IEEE Symposium on Artificial Life. Honolulu, HI, USA: IEEE; 2007. pp. 1 - 7. Available from: http://www.cs.uvm.edu/~meppstei/personal/Payne_Speciation_IEEE07_aspublished.pdf
Journal Article
Matt JE, Rizzo DM, Javed A, Eppstein MJ, Manukyan V, Gramling C, Dewoolkar AM, Gramling R. An Acoustical and Lexical Machine-Learning Pipeline to Identify Connectional Silences. Journal of Palliative Medicine [Internet]. 2023 ;26(12):1627 - 1633. Available from: https://www.liebertpub.com/doi/10.1089/jpm.2023.0087
Eppstein MJ, Grover DK, Marshall JS, Rizzo DM. An agent-based model to study market penetration of plug-in hybrid electric vehicles. Energy Policy [Internet]. 2011 [cited 0BC];39(6):3789 - 3802. Available from: http://www.sciencedirect.com/science/article/pii/S0301421511002904
Krupa JS, Rizzo DM, Eppstein MJ, Lanute DB, Gaalema DE, Lakkaraju K, Warrender CE. Analysis of a consumer survey on plug-in hybrid electric vehicles. Transportation Research Part A: Policy and Practice [Internet]. 2014 ;64:14 - 31. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0965856414000500
Manukyan N, Eppstein MJ, Rizzo DM. Data-Driven Cluster Reinforcement and Visualization in Sparsely-Matched Self-Organizing Maps. IEEE Transactions on Neural Networks and Learning Systems [Internet]. 2012 [cited 0BC];23(5):846 - 852. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6178802
Chichakly KJ, Eppstein MJ. Discovering design principles from dominated solutions. IEEE Access [Internet]. 2013 [cited 0BC];PP(99):1 - 1. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6515327
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
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
Ross L, Danforth CM, Eppstein MJ, Clarfeld LA, Durieux BN, Gramling CJ, Hirsch L, Rizzo DM, Gramling R. Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations. Patient Education and Counseling [Internet]. 2019 . Available from: https://www.sciencedirect.com/science/article/pii/S0738399119305282
Hanley JP, Rizzo DM, Buzas JS, Eppstein MJ. 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
Eppstein MJ, Payne JL, Goodnight CJ. Underdominance, Multiscale Interactions, and Self-Organizing Barriers to Gene Flow. Journal of Artificial Evolution and Applications [Internet]. 2009 [cited 0BC];2009:1 - 13. Available from: http://uvm.edu/epscor/publications/Underdominance, Multiscale Interactions, and Self-Organizing Barriers to Gene Flow.pdf
Eppstein MJ, Rizzo DM, Lee BHY, Krupa JS, Manukyan N. USING NATIONAL SURVEY RESPONDENTS AS CONSUMERS IN AN AGENT-BASED MODEL OF PLUG-IN HYBRID VEHICLE ADOPTION. IEEE Access [Internet]. 2015 ;3:457 - 468. Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7096925
Poster
Worley L, Underwood KL, Vartanian NLV, Eppstein MJ, Seigel RM, Rizzo DM. A Hydraulic Model Wrapper to Optimize Floodplain Reconnection Scenarios. 2020 AGU (American Geophysical Union) Fall Meeting [Internet]. 2020 . Available from: https://agu.confex.com/agu/fm20/webprogram/Paper674575.html