Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Joseph R. Barr"'
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-24 (2019)
Abstract This paper studies how the presence of universities and hospitals influences local home prices and rents. We analyze the data on ZIP code level and on the level of individual homes. Our ZIP code-level analysis uses median home price data fro
Externí odkaz:
https://doaj.org/article/1ffa4ee4ceec40bb88a3eefb85fda117
Publikováno v:
2022 Fourth International Conference on Transdisciplinary AI (TransAI).
Publikováno v:
2022 Fourth International Conference on Transdisciplinary AI (TransAI).
Publikováno v:
International Journal of Semantic Computing. 14:501-516
We present an empirical analysis of the source code of the Fluoride Bluetooth module, which is a part of standard Android OS distribution, by exhibiting a novel approach for classifying and scoring source code and vulnerability rating. Our workflow c
Publikováno v:
2022 IEEE 16th International Conference on Semantic Computing (ICSC).
Autor:
Joseph R. Barr, Tyler Thatcher
Publikováno v:
2022 IEEE 16th International Conference on Semantic Computing (ICSC).
Publikováno v:
AI4I
Cluster Editing is one form of correlation clustering that requires a minimal amount of edge-editing operations to transform a given graph into a transitive graph or a disjoint union of cliques. This paper considers the more realistic scenario where
Publikováno v:
2020 Second International Conference on Transdisciplinary AI (TransAI).
Empirical analysis of source code of Android Fluoride Bluetooth stack demonstrates a novel approach of classification of source code and rating for vulnerability. A workflow that combines deep learning and combinatorial techniques with a straightforw
Publikováno v:
2020 Second International Conference on Transdisciplinary AI (TransAI).
This poster uses the mathematics of networks in the novel context of corporate reporting of slavery in supply chains as a method to meet corporate obligations to respect human rights. For those corporates considering risks such as liability for slave
Publikováno v:
2020 Second International Conference on Transdisciplinary AI (TransAI).
Every graph has orientation $\delta$ with the property that the indegree and outdegree of each vertex differ by no more than a unity. For a subset A of vertices of a digraph D the indegree of A is the number of arcs pointing into A and the outdegree