Vermont EPSCoR Publications and Products
] . Spatiotemporal Trajectories as a New Approach for Studying Concentration-discharge Relationships of Hydrological Events. 2018 AGU (American Geophysical Union) Fall Meeting [Internet]. 2018 . Available from: https://agu.confex.com/agu/fm18/meetingapp.cgi/Paper/378480
. Spatiotemporal trajectories as a new approach for studying concentration-discharge relationships of hydrological events. In: 2019 UVM Student Research Conference. 2019 UVM Student Research Conference. Burlington, VT: University of Vermont (UVM); 2019. Available from: https://scholarworks.uvm.edu/src/2019/program/372/
. 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
. A benchmark study on time series clustering. Machine Learning with Applications [Internet]. 2020 ;1:100001. Available from: https://www.sciencedirect.com/science/article/pii/S2666827020300013
. Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. Data Mining and Knowledge Discovery [Internet]. 2023 . Available from: https://link.springer.com/article/10.1007/s10618-023-00979-9