Hamid Beigy
Overview
Explore the profile of Hamid Beigy including associated specialties, affiliations and a list of published articles.
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Articles
9
Citations
15
Followers
0
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Recent Articles
1.
Abniki A, Beigy H
IEEE Trans Pattern Anal Mach Intell
. 2023 Jun;
45(10):11993-12003.
PMID: 37285255
Several real-world problems, like molecular biology and chemical reactions, have hidden graphs, and we need to learn the hidden graph using edge-detecting samples. In this problem, the learner receives examples...
2.
Khajenezhad A, Madani H, Beigy H
IEEE Trans Neural Netw Learn Syst
. 2020 Oct;
32(11):4997-5007.
PMID: 33048754
Autoregressive models are among the most successful neural network methods for estimating a distribution from a set of samples. However, these models, such as other neural methods, need large data...
3.
Aalipour E, Ghazisaeedi M, Sedighi Moghadam M, Shahmoradi L, Mousavi B, Beigy H
J Family Med Prim Care
. 2020 Sep;
9(6):2995-3004.
PMID: 32984162
Background: There are many people who are suffering from a variety of physical and mental illnesses due to the chemical attacks. There are various technologies such as recommender systems that...
4.
Maleki S, Rahwan T, Ghosh S, Malibari A, Alghazzawi D, Rogers A, et al.
PLoS One
. 2020 Jan;
15(1):e0227049.
PMID: 31923244
We consider a demand response program in which a block of apartments receive a discount from their electricity supplier if they ensure that their aggregate load from air conditioning does...
5.
Yazdani A, Safdari R, Ghazisaeedi M, Beigy H, Sharifian R
Acta Inform Med
. 2018 Dec;
26(3):195-200.
PMID: 30515012
Introduction: In recent years, a variety of clinical decision-support systems (CDSS) have been developed to monitor the health of patients with chronic disease from far away. These systems are effective...
6.
Bashiri A, Shahmoradi L, Beigy H, Savareh B, Nosratabadi M, N Kalhori S, et al.
Future Sci OA
. 2018 Jun;
4(5):FSO292.
PMID: 29868241
Aim: Quantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of quantitative electroencephalography (QEEG)...
7.
Narimani Z, Beigy H, Ahmad A, Masoudi-Nejad A, Frohlich H
PLoS One
. 2017 Feb;
12(2):e0171240.
PMID: 28166542
Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell. Causal network structure inference has...
8.
Neshati M, Hashemi S, Beigy H
IEEE Trans Cybern
. 2014 Jun;
44(12):2646-57.
PMID: 24956537
Expert finding problem in bibliographic networks has received increased interest in recent years. This problem concerns finding relevant researchers for a given topic. Motivated by the observation that rarely do...
9.
Beigy H, Meybodi M
IEEE Trans Syst Man Cybern B Cybern
. 2009 Nov;
40(1):54-65.
PMID: 19884061
The cellular learning automaton (CLA), which is a combination of cellular automaton (CA) and learning automaton (LA), is introduced recently. This model is superior to CA because of its ability...