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Cluster techniques and prediction models for a digital media learning environment
(2012-08-01)
The present work applies well-known data mining techniques in a digital learning
media environment in order to identify groups of students based on their pro le. We
generate identi able clusters where some interesting ...
Using machine learning methods to aid scientists in laboratory environments
(2019-12-01)
As machine learning gains popularity as a scientific instrument, we look to create methods to implement it as a laboratory tool for researchers. In the first of two projects, we discuss creating a real-time interference ...
Characterizing the potential energy surface of two dimensional and bulk materials using high dimensional neural network potentials
(2018-08-01)
Computing material properties at the ab-initio level of detail is computationally prohibitive for large systems or long timescales. As a result, such methods cannot be used to efficiently sample configuration space. Force ...
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)
As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ...
A modular approach to image matting
(2022-11-01)
Image matting is the art of creating an accurate alpha matte for the purpose of foreground separation in an image or video. Although there have been many methods which only require an input image, the best-performing image ...