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of 27
pro vyhledávání: '"Sotudian, Shahabeddin"'
Despite their empirical success, most existing listwiselearning-to-rank (LTR) models are not built to be robust to errors in labeling or annotation, distributional data shift, or adversarial data perturbations. To fill this gap, we introduce a new li
Externí odkaz:
http://arxiv.org/abs/2109.12803
Publikováno v:
In Computers in Biology and Medicine April 2024 172
Autor:
Asl, Ali Akbar Sadat, Ershadi, Mohammad Mahdi, Sotudian, Shahabeddin, Li, Xingyu, Dick, Scott
The pandemic COVID-19 disease has had a dramatic impact on almost all countries around the world so that many hospitals have been overwhelmed with Covid-19 cases. As medical resources are limited, deciding on the proper allocation of these resources
Externí odkaz:
http://arxiv.org/abs/2104.12868
Both FCM and PCM clustering methods have been widely applied to pattern recognition and data clustering. Nevertheless, FCM is sensitive to noise and PCM occasionally generates coincident clusters. PFCM is an extension of the PCM model by combining FC
Externí odkaz:
http://arxiv.org/abs/2101.00304
In some complicated datasets, due to the presence of noisy data points and outliers, cluster validity indices can give conflicting results in determining the optimal number of clusters. This paper presents a new validity index for fuzzy-possibilistic
Externí odkaz:
http://arxiv.org/abs/2005.09162
Autor:
Sotudian, Shahabeddin, Desta, Israel T., Hashemi, Nasser, Zarbafian, Shahrooz, Kozakov, Dima, Vakili, Pirooz, Vajda, Sandor, Paschalidis, Ioannis Ch.
Publikováno v:
In Computational and Structural Biotechnology Journal 2021 19:2269-2278
Autor:
Sotudian, Shahabeddin1 (AUTHOR), Chen, Ruidi1 (AUTHOR), Paschalidis, Ioannis Ch.1,2 (AUTHOR) yannisp@bu.edu
Publikováno v:
PLoS ONE. 3/30/2023, Vol. 17 Issue 3, p1-17. 17p.
Autor:
Sotudian, Shahabeddin
There exist many real-world applications such as recommendation systems, document retrieval, and computational biology where the correct ordering of instances is of equal or greater importance than predicting the exact value of some discrete or conti
Externí odkaz:
https://hdl.handle.net/2144/46243
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Akademický článek
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