Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kristine Monteith"'
Autor:
Hannah Nyholm, Kristine Monteith, Seth Lyles, Micaela Gallegos, Mark DeSantis, John Donaldson, Claire Taylor
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 2, Iss 3, Pp 556-572 (2022)
The collection and analysis of volatile memory is a vibrant area of research in the cybersecurity community. The ever-evolving and growing threat landscape is trending towards fileless malware, which avoids traditional detection but can be found by e
Externí odkaz:
https://doaj.org/article/ab7a7e78e74f4297995082a3d4236e85
Autor:
Seth Lyles, Mark Desantis, John Donaldson, Micaela Gallegos, Hannah Nyholm, Claire Taylor, Kristine Monteith
Publikováno v:
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ccaf9c604266b638699c537dbb6c7eb
https://doi.org/10.1109/dsn-w54100.2022.00035
https://doi.org/10.1109/dsn-w54100.2022.00035
Autor:
Tony Martinez, Kristine Monteith
Publikováno v:
Computational Intelligence. 29:207-232
Selecting an effective method for combining the votes of base inducers in a multiclassifier system can have a significant impact on the system’s overall classification accuracy. Some methods cannot even achieve as high a classification accuracy as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2bcaaf6a3ddba8f4dd8d01905dad6a9
https://doi.org/10.1111/j.1467-8640.2012.00433.x
https://doi.org/10.1111/j.1467-8640.2012.00433.x
Publikováno v:
IJCNN
Bayesian methods are theoretically optimal in many situations. Bayesian model averaging is generally considered the standard model for creating ensembles of learners using Bayesian methods, but this technique is often out-performed by more ad hoc met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aa4bc60daf8f50a79d262d749e6dcea
https://doi.org/10.1109/ijcnn.2011.6033566
https://doi.org/10.1109/ijcnn.2011.6033566
Autor:
Tony Martinez, Kristine Monteith
Publikováno v:
IJCNN
Selecting an effective method for combining the votes of classifiers in an ensemble can have a significant impact on the ensemble's overall classification accuracy. Some methods cannot even achieve as high a classification accuracy as the most accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08c547e06397426f8a4ab3482f66b2d
https://doi.org/10.1109/ijcnn.2010.5596550
https://doi.org/10.1109/ijcnn.2010.5596550