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  1. No Access

    Article

    Persian offensive language detection

    With the proliferation of social networks and their impact on human life, one of the rising problems in this environment is the rise in verbal and written insults and hatred. As one of the significant platform...

    Emad Kebriaei, Ali Homayouni, Roghayeh Faraji, Armita Razavi… in Machine Learning (2024)

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    Article

    Mismatching-aware unsupervised translation quality estimation for low-resource languages

    Translation Quality Estimation (QE) is the task of predicting the quality of machine translation (MT) output without any reference. This task has gained increasing attention as an important component in the pr...

    Fatemeh Azadi, Heshaam Faili, Mohammad Javad Dousti in Language Resources and Evaluation (2024)

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    Article

    A crowdsourcing approach to construct mono-lingual plagiarism detection corpus

    Plagiarism detection deals with detecting plagiarized fragments among textual documents. The availability of digital documents in online libraries makes plagiarism easier and on the other hand, to be easily de...

    Habibollah Asghari, Omid Fatemi, Salar Mohtaj… in International Journal on Digital Libraries (2021)

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    Article

    MLPR: Efficient influence maximization in linear threshold propagation model using linear programming

    Influence maximization is an important research topic in social networks that has different applications such as analyzing spread of rumors, interest, adoption of innovations, and feed ranking. The goal is to ...

    Farzaneh Ghayour-Baghbani, Masoud Asadpour… in Social Network Analysis and Mining (2020)

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    Article

    Integer Linear Programming for Influence Maximization

    Influence Maximization is one of the important research topics in social networks which has many applications, e.g., in marketing, politics and social science. The goal of Influence Maximization is to select a...

    Farzaneh Ghayour Baghbani, Masoud Asadpour… in Iranian Journal of Science and Technology,… (2019)

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    Article

    Solving submodular text processing problems using influence graphs

    Submodular functions appear in a considerable number of important natural language processing problems such as text summarization and dataset selection. Current graph-based approaches to solving such problems ...

    Ali Vardasbi, Heshaam Faili, Masoud Asadpour in Social Network Analysis and Mining (2019)

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    Article

    RACER: accurate and efficient classification based on rule aggregation approach

    Rule-based classification is one of the most important topics in the field of data mining due to its wide applications. This article presents a novel rule-based classifier called RACER (Rule Aggregating ClassifiE...

    Javad Basiri, Fattaneh Taghiyareh, Heshaam Faili in Neural Computing and Applications (2019)