Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zahra Moslehi"'
Autor:
Luise A. Seeker, Nadine Bestard-Cuche, Sarah Jäkel, Nina-Lydia Kazakou, Sunniva M. K. Bøstrand, Laura J. Wagstaff, Justyna Cholewa-Waclaw, Alastair M. Kilpatrick, David Van Bruggen, Mukund Kabbe, Fabio Baldivia Pohl, Zahra Moslehi, Neil C. Henderson, Catalina A. Vallejos, Gioele La Manno, Goncalo Castelo-Branco, Anna Williams
Publikováno v:
Acta Neuropathologica Communications, Vol 11, Iss 1, Pp 1-23 (2023)
Abstract The myelinated white matter tracts of the central nervous system (CNS) are essential for fast transmission of electrical impulses and are often differentially affected in human neurodegenerative diseases across CNS region, age and sex. We hy
Externí odkaz:
https://doaj.org/article/f29980c47b3d48f6bf0dc467b3b6f292
Autor:
Luise A. Seeker, Nadine Bestard-Cuche, Sarah Jäkel, Nina-Lydia Kazakou, Sunniva M. K. Bøstrand, Alastair M. Kilpatrick, David Van Bruggen, Mukund Kabbe, Fabio Baldivia Pohl, Zahra Moslehi, Neil C. Henderson, Catalina A. Vallejos, Gioele La Manno, Gonçalo Castelo-Branco, Anna Williams
The myelinated white matter tracts of the central nervous system (CNS) are essential for fast transmission of electrical impulses and are commonly affected in neurodegenerative diseases. However, these often uniquely human diseases differentially aff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::504f779e658db9ca88dab21172277fd8
https://doi.org/10.1101/2022.03.22.485367
https://doi.org/10.1101/2022.03.22.485367
Publikováno v:
IEEE Transactions on Fuzzy Systems. 26:3534-3544
In this paper, a new unsupervised metric learning algorithm with real-world application in clustering is proposed. To have a desirable clustering, the separability among different classes of data needs to be improved. A common manner in accomplishing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6cfc7086857106264aff583618b9ce
https://doi.org/10.1109/tfuzz.2018.2836338
https://doi.org/10.1109/tfuzz.2018.2836338
Publikováno v:
Neurocomputing. 319:21-33
A great number of machine learning algorithms strongly depend on the underlying distance metric for representing the important correlations of input data. Distance metric learning is defined as learning an appropriate similarity or distance metric fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd144f3f731ec5d09c1122f8304a45e
https://doi.org/10.1016/j.neucom.2018.08.071
https://doi.org/10.1016/j.neucom.2018.08.071
Autor:
Zahra Moslehi, Alireza Bagheri
Publikováno v:
International Journal of Foundations of Computer Science. 28:309-320
Given a set P of red points and a set Q of blue points in the plane, of total size n, we investigate the problem of finding triangles with a given angle [Formula: see text] that (a) contain all points of Q, (b) avoid all points of P, and (c) are mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6eef60d3aa95cd4bb51e6207c6f1693
https://doi.org/10.1142/s0129054117500198
https://doi.org/10.1142/s0129054117500198
Autor:
Zahra Moslehi, Alireza Bagheri
Publikováno v:
Scientia Iranica. 23:1228-1238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ad02cd6692d9d2455d8e6ab5a1ccf5b
https://doi.org/10.24200/sci.2016.3891
https://doi.org/10.24200/sci.2016.3891
Publikováno v:
Pattern Recognition. 96:106994
Measuring distance among data point pairs is a necessary step among numerous counts of algorithms in machine learning, pattern recognition and data mining. In the local perspective, the emphasis of all existing supervised metric learning algorithms i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e7335e3d0f97dd4f9bae2ff45096508
https://doi.org/10.1016/j.patcog.2019.106994
https://doi.org/10.1016/j.patcog.2019.106994