Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Classification of Message Spreading in a Heterogeneous Social Network

    Nowadays, social networks such as Twitter, Facebook and LinkedIn become increasingly popular. In fact, they introduced new habits, new ways of communication and they collect every day several information that ...

    Siwar Jendoubi, Arnaud Martin in Information Processing and Management of U… (2014)

  2. No Access

    Chapter and Conference Paper

    Second-Order Belief Hidden Markov Models

    Hidden Markov Models (HMMs) are learning methods for pattern recognition. The probabilistic HMMs have been one of the most used techniques based on the Bayesian model. First-order probabilistic HMMs were adapt...

    Jungyeul Park, Mouna Chebbah, Siwar Jendoubi in Belief Functions: Theory and Applications (2014)

  3. No Access

    Chapter and Conference Paper

    Dynamic Time War** Distance for Message Propagation Classification in Twitter

    Social messages classification is a research domain that has attracted the attention of many researchers in these last years. Indeed, the social message is different from ordinary text because it has some spec...

    Siwar Jendoubi, Arnaud Martin in Symbolic and Quantitative Approaches to Re… (2015)

  4. No Access

    Chapter and Conference Paper

    A Reliability-Based Approach for Influence Maximization Using the Evidence Theory

    The influence maximization is the problem of finding a set of social network users, called influencers, that can trigger a large cascade of propagation. Influencers are very beneficial to make a marketing camp...

    Siwar Jendoubi, Arnaud Martin in Big Data Analytics and Knowledge Discovery (2017)

  5. No Access

    Chapter and Conference Paper

    An Evidential k-nearest Neighbors Combination Rule for Tree Species Recognition

    The task of tree species recognition is to recognize the tree species using photos of their leaves and barks. In this paper, we propose an evidential k-nearest neighbors (k-NN) combination rule. The proposed rule...

    Siwar Jendoubi, Didier Coquin in Belief Functions: Theory and Applications (2018)

  6. No Access

    Chapter and Conference Paper

    Evidential Independence Maximization on Twitter Network

    Detecting independent users in online social networks is an interesting research issue. In fact, independent users cannot generally be influenced, they are independent in their choices and decisions. Independe...

    Siwar Jendoubi, Mouna Chebbah, Arnaud Martin in Belief Functions: Theory and Applications (2018)

  7. No Access

    Article

    Evidential positive opinion influence measures for viral marketing

    The viral marketing is a relatively new form of marketing that exploits social networks to promote a brand, a product, etc. The idea behind it is to find a set of influencers on the network that can trigger a ...

    Siwar Jendoubi, Arnaud Martin in Knowledge and Information Systems (2020)

  8. No Access

    Chapter and Conference Paper

    A Table Extraction Solution for Financial Spreading

    Financial spreading is a necessary exercise for financial institutions to break up the analysis of financial data in making decisions like investment advisories, credit appraisals, and more. It refers to the c...

    Duc-Tuyen Ta, Siwar Jendoubi in Database and Expert Systems Applications -… (2022)

  9. No Access

    Chapter and Conference Paper

    SSFuzzyART: A Semi-Supervised Fuzzy ART Through Seeding Initialization

    Semi-supervised clustering is a machine learning technique that was introduced to boost clustering performance when labelled data is available. Indeed, labelled data are usually available in real use cases, an...

    Siwar Jendoubi, Aurélien Baelde in Information Processing and Management of U… (2022)