Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
Concavity trees are structures for 2-D shape representation. In this paper, we present a new recursive method for concavity tree matching that returns the distance between two attr...
In this paper, we consider addressable procedures with DNA strands for logic and arithmetic operations. Using a theoretical model for DNA computing, we first show a DNA represent...
Volume rendering and isosurface extraction from three-dimensional scalar fields are mostly based on piecewise trilinear representations. In regions of high geometric complexity s...
Researchers building multi-agent algorithms typically work with abstracted away from real applications. The abstracted problem instances allow systematic and detailed investigatio...
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Mili...