• A novel Conceptual Machine Learning Method using Random Conceptual Decomposition 

      Ali M.A.; Jaoua A.; Al-Maadeed, SomayaA. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ...
    • Analyze Unstructured Data Patterns for Conceptual Representation 

      Aqle A.; Al-Thani D.; Jaoua A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Online news media provides aggregated news and stories from different sources all over the world and up-to-date news coverage. The main goal of this study is to find a solution that is considered as a homogeneous source ...
    • Automatic handedness detection from off-line handwriting 

      Al-Maadeed,Somaya; Ferjani F.; Elloumi S.; Hassaine A.; Jaoua A. ( IEEE , 2013 , Conference Paper)
      In forensics, the handedness detection or the classification of writers into left or right-handed helps investigators focusing more on a certain category of suspects. However, only a few studies have been carried out in ...
    • Breast cancer image classification using pattern-based Hyper Conceptual Sampling method 

      Salahuddin T.; Haouari F.; Islam F.; Ali R.; Al-Rasbi S.; ... more authors ( Elsevier Ltd , 2018 , Article)
      The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ...
    • Edge-based compression and classification for smart healthcare systems: concept, implementation and evaluation 

      Awad Abdellatif A.; Emam A.; Chiasserini C.-F.; Mohamed A.; Jaoua A.; ... more authors ( Elsevier Ltd , 2019 , Article)
      Smart healthcare systems require recording, transmitting and processing large volumes of multimodal medical data generated from different types of sensors and medical devices, which is challenging and may turn some of the ...
    • Fault tolerant approach for verified software: Case of natural gas purification simulator 

      Ibrahim, S. K.; Boulifa, B.; Jaoua, A.; Elloumi, S.; Saleh, M.; ... more authors (2013 , Conference Paper)
      Well logically verified and tested software may fail because of undesired physical phenomena provoking transient faults during its execution. While being the most frequent kind of faults, transient faults are difficult to ...
    • ICDAR 2013 competition on gender prediction from handwriting 

      Hassaine A.; Al-Maadeed, Somaya; Aljaam J.; Jaoua A. ( IEEE , 2013 , Conference Paper)
      The prediction of gender from handwriting is a very interesting research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare ...
    • Natural fault tolerance in the context of a goal oriented software design 

      Ibrahim, S. K.; Boulifa, B.; Elloumi, S.; Jaoua, A.; Saleh, M. S.; ... more authors (2013 , Conference Paper)
      A particular goal oriented software design is proposed in this paper: by checking the preservation of critical information, an original proposed program structure has the important property to naturally recover transient ...
    • QR2: A third-party query reranking service over web databases 

      Durairaj Gunasekaran Y.; Asudeh A.; Hasani S.; Zhang N.; Jaoua A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, in practice, many such databases fail to ...
    • Semantic metrics for software products 

      Mili, A.; Jaoua, A.; Frias, M.; Helali, Rasha Gaffer Mohamed ( Springer-Verlag London Ltd , 2014 , Article)
      Like all engineering disciplines, software engineering relies on quantitative analysis to support rationalized decision making. Software engineering researchers and practitioners have traditionally relied on software metrics ...
    • Text categorization using weighted hyper rectangular keyword extraction 

      Hassaine A.; Safi Z.; Otaibi J.; Jaoua A. ( IEEE Computer Society , 2018 , Conference Paper)
      Text categorization is an important research field that finds many applications nowadays. It is usually performed in two steps: feature extraction and classification. In the feature extraction step, discriminating keywords ...
    • The ICDAR2011 Arabic writer identification contest 

      Hassane A.; Al-Maadeed, Somaya; Alja'am J.M.; Jaoua A.; Bouridane A. ( IEEE , 2011 , Conference Paper)
      Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in ...
    • Towards an Inpainting Framework for Visual Cultural Heritage 

      Jboor N.H.; Belhi A.; Al-Ali A.K.; Bouras A.; Jaoua A. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Cultural heritage takes an important part in defining the identity and the history of a civilization or a nation. Valuing and preserving this heritage is thus a top priority for governments and heritage institutions. Through ...
    • Unsupervised Technique for Anomaly Detection in Qatar Stock Market 

      Al-Thani H.; Hassen H.; Al-Maadced S.; Fetais N.; Jaoua A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The aim of anomaly detection is to find patterns or data points that are not confirming the expected behavior inside the dataset. Techniques from a variety of disciplines like machine learning, statistics, information ...
    • Using minimal generators for composite isolated point extraction and conceptual binary relation coverage: Application for extracting relevant textual features 

      Elloumi, S.; Ferjani, F.; Jaoua, A. ( Elsevier , 2016 , Article)
      In recent years, several mathematical concepts have been successfully explored in the computer science domain as a basis for finding original solutions for complex problems related to knowledge engineering, data mining, ...