Vermont EPSCoR Publications and Products


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2007
Erturk M, Xia T, Clark WF. Gate Voltage Dependence of MOSFET Noise Statistics. IEEE Electron Device Letters [Internet]. 2007 [cited 0BC];28(9):812 - 814. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4294054
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
2012
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
Etienne E, Adair EC, Hobbie SE. Estimating Litter Decomposition Rate in Single-Pool Models Using Nonlinear Beta Regression Bond-Lamberty B. PLoS ONE [Internet]. 2012 [cited 0BC];7(9):e45140. Available from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0045140
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.
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.
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.
Voigt B, Gustafson C, Erickson JD. Modeling Zoonotic Disease Regulation under Climate Change Scenarios in Semi-Arid Grasslands: a scoping model of water provisioning services in the Ruaha Landscape of Tanzania. Adapting Livestock to Climate Change Collaborative Research Support Program, Research Brief [Internet]. 2012 [cited 0BC];RB-08-2012. Available from: http://lcccrsp.org/wp-content/uploads/2012/05/RB_08_2012.pdf
Butchart SHM, Scharlemann JPW, Evans MI, Quader S, Aricò S, Arinaitwe J, Balman M, Bennun LA, Bertzky B, Besançon C, et al. Protecting Important Sites for Biodiversity Contributes to Meeting Global Conservation Targets Bennett PM. PLoS ONE [Internet]. 2012 ;7(3):e32529. Available from: http://dx.plos.org/10.1371/journal.pone.0032529
Hobbie SE, Eddy WC, Buyarski CR, Adair EC, Ogdahl ML, Weisenhorn P. Response of decomposing litter and its microbial community to multiple forms of nitrogen enrichment. Ecological Monographs [Internet]. 2012 [cited 0BC];82(3):389 - 405. Available from: https://esajournals.onlinelibrary.wiley.com/doi/10.1890/11-1600.1
2013
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
Kennedy CM, Lonsdorf EV, Neel MC, Williams NM, Ricketts TH, Winfree R, Bommarco R, Brittain C, Burley AL, Cariveau DP, et al. A global quantitative synthesis of local and landscape effects on wild bee pollinators in agroecosystems Anderson M. Ecology Letters [Internet]. 2013 [cited 0BC];16(5):584 - 599. Available from: http://onlinelibrary.wiley.com/doi/10.1111/ele.12082/abstract?systemMessage=Wiley+Online+Library+will+be+unavailable+on+Saturday+3rd+September+2016+at+08.30+BST%2F+03%3A30+EDT%2F+15%3A30+SGT+for+5+hours+and+Sunday+4th+September+at+10%3A00+BST%2F+05%3A00+E
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
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
2014
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
Coleman S, Hurley S, Koliba C, Zia A, Exler S. Building Adaptive Capacity: An Interactive Multi-Stakeholder Forum for Water Quality and Climate Change Adaptation In Lake Champlain Basin. American Geophysical Union: Fall Meeting. 2014 .
Edwards MB, Dewoolkar MM, Huston DR. Characterization of Fillite as a potential Martian regolith simulant. In: 14th ASCE International Conf. on Engineering, Science, Construction and Operations in Challenging Environments . 14th ASCE International Conf. on Engineering, Science, Construction and Operations in Challenging Environments . St. Louis, Missouri; 2014.
Exler S, Koliba C. Climate Change at UVM Website. [Internet]. 2014 . Available from: http://climate.w3.uvm.edu/
Schmitz C, Eastwood BS, Tappan SJ, Glaser JR, Peterson DA, Hof PR. Current automated 3D cell detection methods are not a suitable replacement for manual stereologic cell counting. Frontiers in Neuroanatomy [Internet]. 2014 ;8. Available from: http://journal.frontiersin.org/article/10.3389/fnana.2014.00027/abstract

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