741 citations · 761 across the 3 of their papers we have counts for
6 papers
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19
Zois Boukouvalas, Christine Mallinson, Evan Crothers +5
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating…
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge +1
In the space of only a few years, deep generative modeling has revolutionized how we think of artificial creativity, yielding autonomous systems which produce original images, musi…
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
Daniel C. Elton, Dhruv Turakhia, Nischal Reddy +4
The number of scientific journal articles and reports being published about energetic materials every year is growing exponentially, and therefore extracting relevant information a…
Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning
Zois Boukouvalas, Daniel C. Elton, Peter W. Chung +1
Due to its high computational speed and accuracy compared to ab-initio quantum chemistry and forcefield modeling, the prediction of molecular properties using machine learning has…
Machine Learning of Energetic Material Properties
Brian C. Barnes, Daniel C. Elton, Zois Boukouvalas +4
In this work, we discuss use of machine learning techniques for rapid prediction of detonation properties including explosive energy, detonation velocity, and detonation pressure.…
Development of ICA and IVA Algorithms with Application to Medical Image Analysis
Zois Boukouvalas
Independent component analysis (ICA) is a widely used BSS method that can uniquely achieve source recovery, subject to only scaling and permutation ambiguities, through the assumpt…