Vermont EPSCoR Publications and Products


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Hu LB, Savidge C, Rizzo DM, Hayden NJ, Hagadorn JW, Dewoolkar MM. Commonly Used Porous Building Materials - Geomorphic Pore Structure and Fluid Transport. Journal of Materials in Civil Engineering. 2012 [cited 0BC]:121004140005006.
Hamshaw SD, Dewoolkar MM, Bryce TG, Rizzo DM, O'Neil-Dunne J, Frolik J, Engel T. Comparison of Unmanned Aircraft Systems (UAS) to LIDAR for Streambank Erosion Measurement at the Site-Specific Scale. Vermont Geospatial Forum 2017 [Internet]. 2017 . Available from: http://vcgi.vermont.gov/event/forum_2017/poster_gallery
Zia A, Bomblies A, Schroth AW, Koliba C, Isles PDF, Tsai Y-S, Mohammed IN, Bucini G, Clemins PJ, Turnbull S, et al. Coupled impacts of climate and land use change across a river-lake continuum: insights from an integrated assessment model of Lake Champlain’s Missisquoi Basin, 2000-2040. Environmental Research Letters [Internet]. 2016 ;11(11):114026. Available from: http://stacks.iop.org/1748-9326/11/i=11/a=114026?key=crossref.46f2304a408b74e1eb473acc5fa39830
Fytilis N, Rizzo DM. Coupling Self-Organizing Maps with a Naive Bayesian Classifier. In: EOS Transactions, American Geophysical Union, Fall Meeting. EOS Transactions, American Geophysical Union, Fall Meeting. San Francisco, CA; 2012.
Fytilis N, Rizzo DM. Coupling self-organizing maps with a Naive Bayesian classifier: Stream classification studies using multiple assessment data. Water Resources Research [Internet]. 2013 [cited 0BC];49(11):7747 - 7762. Available from: http://onlinelibrary.wiley.com/doi/10.1002/2012WR013422/pdf
Perdrial JN, Rizzo DM, Underwood KL, Lee BSuk, Toolin R, Seybold EC, Harpold AA, Boisrame G, Abbott BW, Li L, et al. Critical Zone network cluster research: Using Big Data approaches to assess ecohydrological resilience across scales. In: 2020 AGU (American Geophysical Union) Fall Meeting. 2020 AGU (American Geophysical Union) Fall Meeting. Virtual: American Geophysical Union (AGU); 2020. Available from: https://agu.confex.com/agu/fm20/webprogram/Paper748076.html
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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
Gramling B, Reblin M, Brown G, Garrido M, Rizzo DM, Grenon KEkstrom, Manetta E, Arnoldy F, Dewoolkar A, Cannizzaro M. Determinants of Loneliness Trajectory Following a Brief Storytelling Intervention about COVID Pandemic Grief. 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/5276
Xu Y, Schroth AW, Rizzo DM. Developing a 21st Century framework for lake-specific eutrophication assessment using quantile regression. Limnology and Oceanography: Methods [Internet]. 2015 ;13(5):237 - 249. Available from: http://doi.wiley.com/10.1002/lom3.10021
Gramling R, Bennettt E, Curtis K, Richards W, Rizzo DM, Arnoldy F, Hegg L, Porter J, Honstein H, Pratt S, et al. Developing a Direct Observation Measure of Therapeutic Connection in Psilocybin-Assisted Therapy: A Feasibility Study. Journal of Palliative Medicine [Internet]. 2023 ;26(12):1702 - 1708. Available from: https://www.liebertpub.com/doi/10.1089/jpm.2023.0189
Kerans B, Stevens L, Rizzo DM. Does Biodiversity of the Alternative Host Influence Whirling Disease Dynamics?. In: American Fisheries Society. American Fisheries Society. Seattle, Washington; 2011. Available from: http://afs2011.wabc-afs.org/downloads/AFS_Abstract_Book_9-20-11.pdf
Adler T, Underwood KL, Rizzo DM, Harpold A, Sterle G, Li L, Wen H, Stinson L, Bristol C, Stewart B, et al. Drivers of Dissolved Organic Carbon Mobilization From Forested Headwater Catchments: A Multi Scaled Approach. Frontiers in Water [Internet]. 2021 ;3. Available from: https://www.frontiersin.org/articles/10.3389/frwa.2021.578608/full
Druschel GK, Shufelt N, Lee LG, Schroth AW, Hill JE, Rizzo DM, Giles CD, Watzin MC. Dynamic redox oscillations in freshwater lake sediments driving phosphate flux through iron and manganese oxide transformations. In: 245th ACS (American Chemical Society) National Meeting & Exposition. 245th ACS (American Chemical Society) National Meeting & Exposition. New Orleans, LA; 2013.
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Lucero DE, Morrissey LA, Rizzo DM, Rodas A, Garnica R, Stevens L, Bustamante DM, Monroy MC. Ecohealth Interventions Limit Triatomine Reinfestation following Insecticide Spraying in La Brea, Guatemala. American Journal of Tropical Medicine and Hygiene [Internet]. 2013 [cited 0BC];88(4):630 - 637. Available from: http://www.ajtmh.org/content/88/4/630.long
Hecht JS, Zia A, Beckage B, Winter JM, Schroth AW, Bomblies A, Clemins PJ, Rizzo DM. Effects of changes in climate variability and extremes on the exceedance of critical algal bloom thresholds. 2017 AGU (American Geophysical Union) Fall Meeting [Internet]. 2017 . Available from: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/262423
Mouser PJ, Rizzo DM, Druschel GK, Morales SE, Hayden NJ, O'Grady P, Stevens L. Enhanced detection of groundwater contamination from a leaking waste disposal site by microbial community profiles. Water Resources Research [Internet]. 2010 [cited 0BC];46(12). Available from: http://onlinelibrary.wiley.com/doi/10.1029/2010WR009459/full
Matt J, Underwood KL, Gourevitch JD, Diehl RM, Seigel RM, Worley L, Wemple BC, Rizzo DM. An enhanced low-complexity hydraulic model for assessment of floodplain rehabilitation alternatives. 2020 AGU (American Geophysical Union) Fall Meeting [Internet]. 2020 . Available from: https://agu.confex.com/agu/fm20/webprogram/Paper754122.html
Rizzo DM, Hamshaw SD, Anderson H, Underwood KL, Dewoolkar MM. Estimates of Sediment Loading from Streambank Erosion Using Terrestrial LIDAR sediment in rivers using artificial neural networks: Implications for development of sediment budgets. In: American Geophysical Union, Fall Meeting. American Geophysical Union, Fall Meeting. San Francisco, CA; 2013.
Garvey KM, Morrissey LA, Rizzo DM, Underwood KL, Wemple B, Kline ML. Estimating channel erosion and deposition using multi-data LIDAR and orthophotography: a case study in the Browns River, Chittenden County, VT. In: 24th Annual Northeastern Nonpoint Source Conference. 24th Annual Northeastern Nonpoint Source Conference. Burlington, VT; 2013.
Morrissey LA, Garvey KM, Rizzo DM, Underwood KL, Wemple B, Kline ML. Estimating Channel Erosion and Deposition using Multi-date LiDAR and Orthophotography: A Case Study in the Browns River, Chittenden County, VT. In: EOS Transactions, American Geophysical Union, Fall Meeting. EOS Transactions, American Geophysical Union, Fall Meeting. San Francisco, CA; 2012.
Anderson I, Hanley J, Rizzo DM, Huston DR, Dewoolkar MM. Evaluating Damage to Vermont Bridges by Hurricane Irene with Multivariate Bridge Inspection and Stream Hydrogeologic Data. Journal of Bridge Engineering [Internet]. 2020 ;25(10):04020083. Available from: https://ascelibrary.org/doi/10.1061/%28ASCE%29BE.1943-5592.0001603
Underwood KL, Rizzo DM, Schroth AW, Dewoolkar MM. Evaluating Spatial Variability in Sediment and Phosphorus Concentration-Discharge Relationships Using Bayesian Inference and Self-Organizing Maps. Water Resources Research [Internet]. 2017 ;53. Available from: http://onlinelibrary.wiley.com/doi/10.1002/2017WR021353/full
Romero ET, Torres ND, Hamshaw SD, Denu D, Dewoolkar MM, Rizzo DM. Evaluating visual classification of suspended sediment – discharge hysteresis via crowd-sourcing and in-stream monitoring. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/370154
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

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