Foliated networks to analyze moral responsibility: a conceptual model
Sign Up to like & getrecommendations! Published in 2017 at "European Business Review"
DOI: 10.1108/ebr-01-2016-0022
Abstract: urposeThis study aims to explore how the flow of moral responsibility in supply chains can be understood through an analysis of material, monetary and information flows.Design/methodology/approachS ... read more here.
Keywords: responsibility conceptual; networks analyze; analyze moral; moral responsibility ... See more keywords
Bayesian Neural Networks to Analyze Hyperspectral Datasets Using Uncertainty Metrics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3205119
Abstract: Machine learning techniques, and specifically neural networks, have proved to be very useful tools for image classification tasks. Nevertheless, measuring the reliability of these networks and calibrating them accurately are very complex. This is even… read more here.
Keywords: neural networks; bayesian neural; networks analyze; uncertainty metrics ... See more keywords
Using networks to analyze and visualize the distribution of overlapping genes in virus genomes
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Pathogens"
DOI: 10.1371/journal.ppat.1010331
Abstract: Gene overlap occurs when two or more genes are encoded by the same nucleotides. This phenomenon is found in all taxonomic domains, but is particularly common in viruses, where it may increase the information content… read more here.
Keywords: analyze visualize; visualize distribution; networks analyze; using networks ... See more keywords