Zobrazeno 1 - 10
of 19
pro vyhledávání: '"William Maniatty"'
Publikováno v:
Theoretical Population Biology. 69:367-384
When pathogen strains differing in virulence compete for hosts, spatial structuring of disease transmission can govern both evolved levels of virulence and patterns in strain coexistence. We develop a spatially detailed model of superinfection, a for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0080143a04f3e6a7040d4af121ae821f
https://doi.org/10.1016/j.tpb.2005.12.004
https://doi.org/10.1016/j.tpb.2005.12.004
Autor:
Mohammed J. Zaki, William Maniatty
Publikováno v:
ACM SIGKDD Explorations Newsletter. 2:56-65
William A. Maniatty Department of Computer Science University at Albany Albany, NY 12222 maniatty@cs.albany.edu Mohammed J. Zaki Department of Computer Science Rensselaer Polytechnic Institute Troy, NY 12180 zaki@cs.rpi.edu ABSTRACT The urrent genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeecf06927c093e356b7f69ebe144d00
https://doi.org/10.1145/380995.381015
https://doi.org/10.1145/380995.381015
Publikováno v:
Scopus-Elsevier
Spatially detailed epidemic models commonly invoke probabilistic cellular automata to predict population-level consequences of localized interactions between infectious and susceptible individuals. Most such models equate local and global host densit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82031f542c342c9ec33422ea6a6e6d1
https://doi.org/10.1016/s0167-2789(99)00059-7
https://doi.org/10.1016/s0167-2789(99)00059-7
Publikováno v:
Journal of Theoretical Biology. 192:351-361
Spatially explicit epidemic models explore population-level consequences of interactions between neighboring infectious and susceptible individuals. Most such models equate local and global host density, so that each individual interacts with the sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e353d4f05fe52b11429599a3a79cb93a
https://doi.org/10.1006/jtbi.1998.0663
https://doi.org/10.1006/jtbi.1998.0663
Publikováno v:
Parallel Processing Letters. :437-449
Proper distribution of operations among parallel processors in a large scientific computation executed on a distributed-memory machine can significantly reduce the total computation time. In this paper, we propose an operation called simultaneous par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::722f6d1018ee6f8f35977b8646391bbf
https://doi.org/10.1142/s0129626495000400
https://doi.org/10.1142/s0129626495000400
Publikováno v:
CCGRID
Parallel I/O systems frequently use collective I/O to improve the performance of applications that have small and noncontiguous data access patterns. The performance of a collective I/O implementation depends on how well its I/O libraries and paralle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11b3aacc6a8e25d6b3d148c15560fe4
https://doi.org/10.1109/ccgrid.2004.1336661
https://doi.org/10.1109/ccgrid.2004.1336661
Autor:
William Maniatty
Publikováno v:
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97398fe87b907f2968fe510a1a9557f5
https://doi.org/10.1145/3244072
https://doi.org/10.1145/3244072
Autor:
William Maniatty
Publikováno v:
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02afb56079fc6fb669af30611260ea2
https://doi.org/10.1145/3244071
https://doi.org/10.1145/3244071
Publikováno v:
PODS
Computing frequent itemsets and maximally frequent item-sets in a database are classic problems in data mining. The resource requirements of all extant algorithms for both problems depend on the distribution of frequent patterns, a topic that has not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9433c1df221cceceecc306ca3a7c8f88
https://doi.org/10.1145/773153.773181
https://doi.org/10.1145/773153.773181
Publikováno v:
HICSS
Scopus-Elsevier
Scopus-Elsevier
We describe a series of stepwise refinements of a biological model resulting in a high-performance simulation system for individual-based models of the co-evolutionary dynamics associated with spatially explicit epidemic processes. Our model includes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::680f1502e79497227f9e22f55999a1b9
https://doi.org/10.1109/hicss.1999.773085
https://doi.org/10.1109/hicss.1999.773085