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5篇 您的检索式:作者名="Borislava"
    题名 作者 年代 出处 被引量
1Review of statistical methods for analysing healthcare resources and costs显示文摘Borislava Mihaylova Andrew Briggs Anthony O’Hagan Simon G. Thompson 2010Health Econ2010,,8:1
2Serial analysis of gene expression (SAGE) in rat liver regeneration显示文摘Velasco Cimica Danko Batusic Borislava Haralanova-Ilieva Yonglong Chen Thomas Hollemann Tomas Pieler Giuliano Ramadori 2007Biochemical and Biophysical Research Communications2007,,3:1
3Methodlogyfor assessing probability of extreme hydrologic events coincidence 显示文摘Stevan Prohaska Borislava Blagojevio Aleksandra Tlic 2010Architecture and Civil Engineering2010,8,2:1
4Representations of Contentious History Through Art:The Collective Trauma of Guernica显示文摘The question this study is attempting to address is how art can be used as a tool for promoting sustainable peace and the formation of a critical and accountable citizen.Such humanistic function of art is challenged in situations where society has been wounded as it often happens during and after the war.This study claims that challenges are fundamentally connected to the problem of historical narratives,especially those related to collective traumas,their use and role in shaping the views of the future generations.Narratives about the contentious past,and particularly collective traumas,are considered an important part of the cultural capital and collective identity of a society serving as a nation-building tool that unifies and glorifies the“in-group”.They can also serve to mobilize people along ethnic lines,which can lead to tensions and conflict.The aim of the study is to examine historical narratives and representations of the collective trauma of Guernica,the epicenter of the Basque identity and culture.The article concludes with an analysis of the artistic representations of collective trauma,such as the famous Picasso’s painting Guernica that has served to promote the message of peace by provoking critical thinking and accountability.Borislava Manojlovic 2018Cultural and Religious Studies2018,6,11:0
5Detection of Malignant and Benign Breast Cancer Using the ANOVA-BOOTSTRAP-SVM显示文摘Purpose:The aim of this research is to propose a modification of the ANOVA-SVM method that can increase accuracy when detecting benign and malignant breast cancer.Methodology:We proposed a new method ANOVA-BOOTSTRAP-SVM.It involves applying the analysis of variance(ANOVA)to support vector machines(SVM)but we use the bootstrap instead of cross validation as a train/test splitting procedure.We have tuned the kernel and the C parameter and tested our algorithm on a set of breast cancer datasets.Findings:By using the new method proposed,we succeeded in improving accuracy ranging from 4.5 percentage points to 8 percentage points depending on the dataset.Research limitations:The algorithm is sensitive to the type of kernel and value of the optimization parameter C.Practical implications:We believe that the ANOVA-BOOTSTRAP-SVM can be used not only to recognize the type of breast cancer but also for broader research in all types of cancer.Originality/value:Our findings are important as the algorithm can detect various types of cancer with higher accuracy compared to standard versions of the Support Vector Machines.Borislava Petrova Vrigazova 2020Journal of Data and Information Science2020,5,2:0
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