Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Usefi, Hamid"'
Genome-Wide Association Studies (GWAS) help identify genetic variations in people with diseases such as Parkinson's disease (PD), which are less common in those without the disease. Thus, GWAS data can be used to identify genetic variations associate
Externí odkaz:
http://arxiv.org/abs/2304.03239
In many applications (e.g., medical studies), the population of interest (e.g., disease status) comprises heterogeneous subpopulations. The mixture of probabilistic regression models is one of the most common techniques to incorporate the information
Externí odkaz:
http://arxiv.org/abs/2209.04739
The logistic regression model is one of the most powerful statistical methods for the analysis of binary data. The logistic regression allows to use a set of covariates to explain the binary responses. The mixture of logistic regression models is use
Externí odkaz:
http://arxiv.org/abs/2209.01731
Publikováno v:
In Computers in Biology and Medicine May 2024 174
Autor:
Usefi, Hamid
Let $A$ be a matrix with its pseudo-matrix $A^{\dagger}$ and set $S=I-A^{\dagger}A$. We prove that, after re-ordering the columns of $A$, the matrix $S$ has a block-diagonal form where each block corresponds to a set of linearly dependent columns. Th
Externí odkaz:
http://arxiv.org/abs/2008.03368
Ulcerative colitis (UC) is one of the most common forms of inflammatory bowel disease (IBD) characterized by inflammation of the mucosal layer of the colon. Diagnosis of UC is based on clinical symptoms, and then confirmed based on endoscopic, histol
Externí odkaz:
http://arxiv.org/abs/2008.01615
Autor:
Siciliano, Salvatore, Usefi, Hamid
Let $P$ be a Poisson algebra with a Lie bracket $\{, \}$ over a field $\F$ of characteristic $p\geq 0$. In this paper, the Lie structure of $P$ is investigated. In particular, if $P$ is solvable with respect to its Lie bracket, then we prove that the
Externí odkaz:
http://arxiv.org/abs/2006.03551
Autor:
Afshar, Majid, Usefi, Hamid
Publikováno v:
August 2020, Knowledge-Based Systems 206(4):106370
A central problem in machine learning and pattern recognition is the process of recognizing the most important features. In this paper, we provide a new feature selection method (DRPT) that consists of first removing the irrelevant features and then
Externí odkaz:
http://arxiv.org/abs/2002.12104
Publikováno v:
In Journal of CO2 Utilization October 2023 76
This paper is a contribution to the isomorphism problem for universal enveloping algebras of finite-dimensional Lie algebras. We focus on solvable Lie algebras of small dimensions over fields of arbitrary characteristic. We prove, over an arbitrary f
Externí odkaz:
http://arxiv.org/abs/1903.06915