activity
20152023
most citedTwo Evidential Data Based Models for Influence Maximization in Twitter

52 citations · 92 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2023★ 3 cited

Dynamic Named Entity Recognition

Tristan Luiggi, Laure Soulier, Vincent Guigue +2

Named Entity Recognition (NER) is a challenging and widely studied task that involves detecting and typing entities in text. So far,NER still approaches entity typing as a task of…

cs.SI2019★ 11 cited

Evidential positive opinion influence measures for viral marketing

Siwar Jendoubi, Arnaud Martin

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 th…

cs.SI2017★ 2 cited

A reliability-based approach for influence maximization using the evidence theory

Siwar Jendoubi, Arnaud Martin

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 benefi…

cs.AI2017★ 6 cited

Dynamic time warping distance for message propagation classification in Twitter

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +2

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…

cs.SI2017★ 52 cited

Two Evidential Data Based Models for Influence Maximization in Twitter

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +2

Influence maximization is the problem of selecting a set of influential users in the social network. Those users could adopt the product and trigger a large cascade of adoptions th…

cs.SI2016★ 9 cited

Maximizing positive opinion influence using an evidential approach

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +2

In this paper, we propose a new data based model for influence maximization in online social networks. We use the theory of belief functions to overcome the data imperfection probl…

cs.AI2015★ 1 cited

Second-Order Belief Hidden Markov Models

Jungyeul Park, Mouna Chebbah, Siwar Jendoubi +1

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…

cs.AI2015★ 2 cited

Belief Hidden Markov Model for speech recognition

Siwar Jendoubi, Boutheina Ben Yaghlane, Arnaud Martin

Speech Recognition searches to predict the spoken words automatically. These systems are known to be very expensive because of using several pre-recorded hours of speech. Hence, bu…

cs.SI2015★ 6 cited

Classification of Message Spreading in a Heterogeneous Social Network

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard +1

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…