Vermont EPSCoR Publications and Products
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Author [ Title
] Type Year Filters: First Letter Of Title is M and Author is Donna M Rizzo [Clear All Filters]
. 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
. 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
. Methodological innovations to strengthen evidence-based serious illness communication. Patient Education and Counseling [Internet]. 2023 ;114:107790. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0738399123001702
. Minimal East Antarctic Ice Sheet retreat onto land during the past eight million years. Nature [Internet]. 2018 ;558:284 - 287. Available from: https://www.nature.com/articles/s41586-018-0155-6
. Modeling the drivers of interannual variability in cyanobacterial bloom severity using self-organizing maps and high-frequency data. Inland Waters [Internet]. 2017 . Available from: http://www.tandfonline.com/doi/full/10.1080/20442041.2017.1318640
. Modeling the Influence of Public Risk Perceptions on the Adoption of Green Stormwater Infrastructure: An Application of Bayesian Belief Networks Versus Logistic Regressions on A Statewide Survey of Households in Vermont. Water [Internet]. 2020 ;12(10):2793. Available from: https://www.mdpi.com/2073-4441/12/10/2793
. Modeling the sensitivity of cyanobacteria blooms to plausible changes in precipitation and air temperature variability. Science of The Total Environment [Internet]. 2021 ;812:151586. Available from: https://www.sciencedirect.com/science/article/pii/S004896972106664X
. A modified framework for trophic status assessment of large lake ecosystems using existing water quality datasets: Application to Lake Champlain. In: New England Association of Environmental Biologists (NEAEB) Annual Conference. New England Association of Environmental Biologists (NEAEB) Annual Conference. ; 2014. Available from: http://www.epa.gov/region1/neaeb2014/pdfs/NEAEB2014ConferenceAbstracts.pdf
. Monitoring Fluvial Geomorphic Change Using Unmanned Aircraft System (UAS) Photogrammetry and Laser Scanning. In: 2018 GSA (Geological Society of America) Northeastern Section 53rd Annual Meeting. 2018 GSA (Geological Society of America) Northeastern Section 53rd Annual Meeting. Burlington, VT: Geological Society of America (GSA); 2018. Available from: https://gsa.confex.com/gsa/2018NE/meetingapp.cgi/Paper/309724
. A Monitoring Tool for Analyzing Sediment Dynamics Using Water Turbidity Sensor Data. 2020 AGU (American Geophysical Union) Fall Meeting [Internet]. 2020 . Available from: https://agu.confex.com/agu/fm20/webprogram/Paper748005.html
. A multi-scale statistical approach to assess the effects of connectivity of road and stream networks on geomorphic channel condition. Earth Surface Processes and Landforms [Internet]. 2014 ;39(11):1538 - 1549. Available from: http://onlinelibrary.wiley.com/doi/10.1002/esp.3611/epdf
. Multivariate event time series analysis using hydrological and suspended sediment data. Journal of Hydrology [Internet]. 2021 ;593:125802. Available from: https://www.sciencedirect.com/science/article/pii/S0022169420312634