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Amin Rezaeipanah

Datos Biográficos

ID1756912
NOMBREAmin Rezaeipanah
NOMBRESAmin
APELLIDORezaeipanah
FIRMAREZAEIPANAH A
AFILIACIONESPersian Gulf University
ORCID0000-0002-9075-9381
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
OBRAS COMO AUTOR4
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Toward rumor detection in social networks using multi-layer autoencoder neural network

    Open Access•Amin Qourbani, Mahdi Khodaparast et al.•ARTICLE•Social Network Analysis and Mining•2023

  • A classification approach to link prediction in multiplex online ego-social networks

    Open Access•Amin Rezaeipanah, Gholamreza Ahmadi et al.•ARTICLE•Social Network Analysis and Mining•2020•Referencias: 74

  • Semilocal Average Shortest Path With Augmented Graph for Identifying Influential Nodes

    Lixia Luo, Qitao Tang et al.

    Efficient identification of influential nodes is crucial in complex networks due to its significant theoretical and practical implications for information propagation and various applications. Despite numerous approaches being developed, many existing methods rely on centrality metrics that have inherent deficiencies and limitations. These approaches face challenges such as network sparsity and ignoring relationships between distant nodes. To add…

  • Performing the Kick During Walking for RoboCup 3D Soccer Simulation League Using Reinforcement Learning Algorithm

    Amin Rezaeipanah, Parvin Amiri et al.

Sin obras prominentes en esta página.

  • A classification approach to link prediction in multiplex online ego-social networks

    Open Access•Amin Rezaeipanah, Gholamreza Ahmadi et al.•ARTICLE•Social Network Analysis and Mining•2020•Referencias: 74

  • Toward rumor detection in social networks using multi-layer autoencoder neural network

    Open Access•Amin Qourbani, Mahdi Khodaparast et al.•ARTICLE•Social Network Analysis and Mining•2023

  • Semilocal Average Shortest Path With Augmented Graph for Identifying Influential Nodes

    Lixia Luo, Qitao Tang et al.

    Efficient identification of influential nodes is crucial in complex networks due to its significant theoretical and practical implications for information propagation and various applications. Despite numerous approaches being developed, many existing methods rely on centrality metrics that have inherent deficiencies and limitations. These approaches face challenges such as network sparsity and ignoring relationships between distant nodes. To add…

  • Performing the Kick During Walking for RoboCup 3D Soccer Simulation League Using Reinforcement Learning Algorithm

    Amin Rezaeipanah, Parvin Amiri et al.

Computer Science (4 obras) · Artificial Intelligence (3 obras) · Complex Network Analysis Techniques (2 obras) · Data mining (2 obras) · Data science (2 obras) · Machine learning (2 obras) · Opinion Dynamics and Social Influence (2 obras) · Social media (2 obras) · World Wide Web (2 obras) · Advanced Graph Neural Networks (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae