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pro vyhledávání: '"Shojaee Bakhtiari, A"'
Autor:
Shojaee Bakhtiari, Ali
In this thesis, we propose and develop various statistical models to enhance and improve the efficiency of statistical modeling of count data in various applications. The major emphasis of the work is focused on developing hierarchical models. Variou
Autor:
Kristi L. Helke, Heidi M. Steinkamp, T. Jensen, Chad M. Novince, Jessica D. Hathaway-Schrader, P.J. Blackshear, L. Zhang, Johannes D. Aartun, Michael B. Chavez, A. Shojaee Bakhtiari, Alexander V. Alekseyenko, D.J. Stumpo, Keith L. Kirkwood
Publikováno v:
Journal of Dental Research. 97:946-953
Tristetraprolin (TTP) is an RNA-binding protein that targets numerous immunomodulatory mRNA transcripts for degradation. Many TTP targets are key players in the pathogenesis of periodontal bone loss, including tumor necrosis factor–α. To better un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf63aa7e590198349bb64d100258c602
https://doi.org/10.1177/0022034518756889
https://doi.org/10.1177/0022034518756889
Autor:
Nizar Bouguila, Ali Shojaee Bakhtiari
Publikováno v:
Expert Systems with Applications. 45:260-272
A latent Beta-Liouville allocation model is proposed.The proposed model is learned using a principled variational approach.The model is applied to the challenging problems of visual scene and text categorization, and action recognition. There has bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d36bb9f42b162e4a574e2cfce726007d
https://doi.org/10.1016/j.eswa.2015.09.044
https://doi.org/10.1016/j.eswa.2015.09.044
Autor:
H.M. Steinkamp, J.D. Hathaway-Schrader, M.B. Chavez, J.D. Aartun, L. Zhang, T. Jensen, A. Shojaee Bakhtiari, K.L. Helke, D.J. Stumpo, A.V. Alekseyenko, C.M. Novince, P.J. Blackshear, K.L. Kirkwood
Supplemental material, DS_10.1177_0022034518756889 for Tristetraprolin Is Required for Alveolar Bone Homeostasis by H.M. Steinkamp, J.D. Hathaway-Schrader, M.B. Chavez, J.D. Aartun, L. Zhang, T. Jensen, A. Shojaee Bakhtiari, K.L. Helke, D.J. Stumpo,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e2cce4015a79f0483b58c4100318f2c
Autor:
Nizar Bouguila, Ali Shojaee Bakhtiari
Publikováno v:
Engineering Applications of Artificial Intelligence. 35:176-186
Several machine learning and knowledge discovery approaches have been proposed for count data modeling and classification. In particular, latent Dirichlet allocation (LDA) (Blei et al., 2003a) has received a lot of attention and has been shown to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7558695a4613348b216a01d554396390
https://doi.org/10.1016/j.engappai.2014.06.023
https://doi.org/10.1016/j.engappai.2014.06.023
Akademický článek
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Autor:
Ali Shojaee Bakhtiari, Nizar Bouguila
Publikováno v:
Multimedia Tools and Applications. 74:1805-1822
One of the main challenges in hierarchical object classification is the derivation of the correct hierarchical structure. The classic way around the problem is assuming prior knowledge about the hierarchical structure itself. Two major drawbacks resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e54f3a1eeea4f506c8d6060f38d7fc83
https://doi.org/10.1007/s11042-013-1719-y
https://doi.org/10.1007/s11042-013-1719-y
Autor:
Rivka R. Colen, Raymond Sawaya, Ginu Thomas, Ashok Kumar, Ali Shojaee Bakhtiari, Markus M. Luedi, Islam Hassan, Aikaterini Kotrotsou, Pascal O. Zinn, Jeffrey S. Weinberg
Publikováno v:
Scientific Reports
Hassan, Islam; Kotrotsou, Aikaterini; Bakhtiari, Ali Shojaee; Thomas, Ginu A; Weinberg, Jeffrey S; Kumar, Ashok J; Sawaya, Raymond; Luedi, Markus M; Zinn, Pascal O; Colen, Rivka R (2016). Radiomic Texture Analysis Mapping Predicts Areas of True Functional MRI Activity. Scientific Reports, 6(25295), p. 25295. Nature Publishing Group 10.1038/srep25295
Hassan, Islam; Kotrotsou, Aikaterini; Bakhtiari, Ali Shojaee; Thomas, Ginu A; Weinberg, Jeffrey S; Kumar, Ashok J; Sawaya, Raymond; Luedi, Markus M; Zinn, Pascal O; Colen, Rivka R (2016). Radiomic Texture Analysis Mapping Predicts Areas of True Functional MRI Activity. Scientific Reports, 6(25295), p. 25295. Nature Publishing Group 10.1038/srep25295
Individual analysis of functional Magnetic Resonance Imaging (fMRI) scans requires user-adjustment of the statistical threshold in order to maximize true functional activity and eliminate false positives. In this study, we propose a novel technique t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0df385a55980d3fd0530ad219489bcdb
Autor:
Pascal O. Zinn, Aikaterini Kotrotsou, Ali Shojaee Bakhtiari, Rivka R. Colen, Masumeh Hatami, Markus M. Luedi, Ahmad Chaddad
BACKGROUND: To identify clinically relevant glioblastoma (GBM) sub-classification/subtypes based on radiomic analysis. Integrated genomic analysis has already identified genomic subtypes of GBM as characterized by specific genomic aberrations and mut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a365f765e731bc50b88c84b13f2a95e
https://europepmc.org/articles/PMC4639034/
https://europepmc.org/articles/PMC4639034/
Autor:
Max Wintermark, Adam E. Flanders, Markus M. Luedi, Pascal O. Zinn, Pattana Wangaryattawanich, John Freymann, Erich Huang, Chad A. Holder, James Y. Chen, Jixin Wang, Scott N. Hwang, Justin Kirby, Ginu Thomas, Rivka R. Colen, Daniel L. Rubin, Masumeh Hatami, S. Shahrukh Hashmi, Ali Shojaee Bakhtiari
BACKGROUND Despite an aggressive therapeutic approach, the prognosis for most patients with glioblastoma (GBM) remains poor. The aim of this study was to determine the significance of preoperative MRI variables, both quantitative and qualitative, wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af85117acf3354ffd7e60637ccaa4c19
https://europepmc.org/articles/PMC4648306/
https://europepmc.org/articles/PMC4648306/