Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Kalyani Mali"'
Autor:
Suvobrata Sarkar, Kalyani Mali
Publikováno v:
Digital Health, Vol 9 (2023)
Background Breast cancer is a highly predominant destructive disease among women characterised with varied tumour biology, molecular subgroups and diverse clinicopathological specifications. The potentiality of machine learning to transform complex m
Externí odkaz:
https://doaj.org/article/6e5c9ee921e5480ca39e998448646365
Autor:
Suvobrata, Sarkar, Kalyani, Mali
Publikováno v:
Methods of Information in Medicine. 61:068-083
Background Breast cancer is the most prevailing heterogeneous disease among females characterized with distinct molecular subtypes and varied clinicopathological features. With the emergence of various artificial intelligence techniques especially ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f91d7554f3c3a38e5e1cf6f00b09825d
https://doi.org/10.1055/s-0042-1751043
https://doi.org/10.1055/s-0042-1751043
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456ff961ac80217c54083b201cc70ee1
https://doi.org/10.1007/s11042-023-14948-3
https://doi.org/10.1007/s11042-023-14948-3
Publikováno v:
Multimedia Tools and Applications. 81:15103-15126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::976a50370977967dd0c03e2fb0d17ffd
https://doi.org/10.1007/s11042-022-12534-7
https://doi.org/10.1007/s11042-022-12534-7
Autor:
Shouvik Chakraborty, Kalyani Mali
Publikováno v:
Knowledge and Information Systems. 64:1121-1160
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::055b8a34b9111389d7ba45453df4d24c
https://doi.org/10.1007/s10115-022-01659-8
https://doi.org/10.1007/s10115-022-01659-8
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34d609edaf05a003aa23cf2da2a1d3d
https://doi.org/10.1007/s11042-023-14438-6
https://doi.org/10.1007/s11042-023-14438-6
Publikováno v:
The Computer Journal. 66:342-359
The study of coherent association rules based on propositional logic is an important area of association rule mining. Users may get a large number of itemsets for low minsup and lose valuable itemsets for high minsup. Mining without minsup may cause
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78ebf2075959903741b679f6ba3e5e66
https://doi.org/10.1093/comjnl/bxab164
https://doi.org/10.1093/comjnl/bxab164
Publikováno v:
Arabian Journal for Science and Engineering. 47:2061-2075
Discovering high occupancy itemsets is an interesting area of research in data mining. Occupancy computation in traditional approaches is restricted to the occupied portions of the itemsets in the supporting transactions only. It can’t distinguish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69bd44f834e3fc5366a890f5cb93cc4b
https://doi.org/10.1007/s13369-021-06075-8
https://doi.org/10.1007/s13369-021-06075-8
Autor:
Ratnesh Kumar, Kalyani Mali
Publikováno v:
Journal of Mathematical Imaging and Vision.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6fb56cbb4ddde1106c8e03103064ce
https://doi.org/10.1007/s10851-022-01130-x
https://doi.org/10.1007/s10851-022-01130-x
Autor:
Shouvik Chakraborty, Kalyani Mali
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8071711f12cd9c51d798cc90f896ed70
https://doi.org/10.1007/s11063-022-11088-x
https://doi.org/10.1007/s11063-022-11088-x