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Adel M Alimi

Biographic Data

ID1847462
NAMEAdel M Alimi
GIVEN NAMESAdel M
FAMILY NAMEAlimi
SIGNATUREALIMI A M
AFFILIATIONSUniversity of Sfax
ORCID0000-0002-0642-3384
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS3
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Fuzzy deep visual panic detection

    Open Access•Onsa Lazzez, Tarek M Hamdani et al.•ARTICLE•Social Network Analysis and Mining•2024

    Deep visual data analysis from social network has become an increasingly important area of research. In fact, this form of assessment makes it viable to recognize new information on social users which incorporates emotions. In order to recognize users’ emotions and other latent attributes, most of the existing approaches have used textual data and have obtained accurate results. However, little attention has been paid to visual data that have bec…

  • Deep learning CNN-LSTM framework for Arabic sentiment analysis using textual information shared in social networks

    Open Access•Abubakr H Ombabi, Wael Ouarda et al.•ARTICLE•Social Network Analysis and Mining•2020•Cited by: 3•References: 52

  • Deep learning CNN-LSTM framework for Arabic sentiment analysis using textual information shared in social networks

    Open Access•Abubakr H Ombabi, Wael Ouarda et al.•ARTICLE•Social Network Analysis and Mining•2020•Cited by: 3•References: 52

  • Deep learning CNN-LSTM framework for Arabic sentiment analysis using textual information shared in social networks

    Open Access•Abubakr H Ombabi, Wael Ouarda et al.•ARTICLE•Social Network Analysis and Mining•2020•Cited by: 3•References: 52

  • Fuzzy deep visual panic detection

    Open Access•Onsa Lazzez, Tarek M Hamdani et al.•ARTICLE•Social Network Analysis and Mining•2024

    Deep visual data analysis from social network has become an increasingly important area of research. In fact, this form of assessment makes it viable to recognize new information on social users which incorporates emotions. In order to recognize users’ emotions and other latent attributes, most of the existing approaches have used textual data and have obtained accurate results. However, little attention has been paid to visual data that have bec…

Artificial Intelligence (2 works) · Computer Science (2 works) · Machine learning (2 works) · Advanced Text Analysis Techniques (1 work) · Anomaly Detection Techniques and Applications (1 work) · Anxiety (1 work) · Computer vision (1 work) · Deep learning (1 work) · Embedding (1 work) · Feature engineering (1 work)

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