Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Maryam Dialameh"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract The rapid outbreak of coronavirus threatens humans’ life all around the world. Due to the insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick diagnostic tool is of great importance. To date, r
Externí odkaz:
https://doaj.org/article/52ad153b2bb44ca6874a53ba81eb26f2
Autor:
Ali Hamzeh, Maryam Dialameh
Publikováno v:
Progress in Artificial Intelligence. 10:283-295
This paper proposes a dynamic feature weighting approach for multi-label classification problems. The choice of dynamic weights plays a vital role in such problems because the assigned weight to each feature might be dependent on the query. To take t
Publikováno v:
Expert Systems with Applications. 72:177-188
The salience of a feature can be changed given different queries.Multi-modal problems need a flexible weighting function to deal with modality.Proposing a differentiable, flexible, and general weighting function.The proposed is optimized for k-NN alg
Autor:
Morteza Naghibi, Maryam Dialameh Pour
Publikováno v:
Biomedical and Pharmacology Journal. 8:915-921
Publikováno v:
2015 Signal Processing and Intelligent Systems Conference (SPIS).
Most of data mining algorithms including classifiers suffer from data sets with highly imbalanced distribution of the target variable. The problem becomes more serious when the events have different costs. Feature weighting and instance weighting are
Publikováno v:
Lancaster University-Pure
The rapid outbreak of COVID-19 threatens humans life all around the world. Due to insufficient diagnostic infrastructures, developing an accurate, efficient, inexpensive, and quick diagnostic tool is of great importance. As chest radiography, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e917d3bcead87d73117f3e9fe200483f
https://puretest.lancaster.ac.uk/portal/en/publications/screening-covid19-based-on-ctcxr-images--building-a-publicly-available-ctscan-dataset-of-covid19(98d3712c-8596-4bea-9da8-d0f91f441ef5).html
https://puretest.lancaster.ac.uk/portal/en/publications/screening-covid19-based-on-ctcxr-images--building-a-publicly-available-ctscan-dataset-of-covid19(98d3712c-8596-4bea-9da8-d0f91f441ef5).html