output
20102019
most citedTwo Evidential Data Based Models for Influence Maximization in Twitter

52 citations

8 papers

cs.MA2019★ 1 cited

Evidence Propagation and Consensus Formation in Noisy Environments

Michael Crosscombe, Jonathan Lawry, Palina Bartashevich

We study the effectiveness of consensus formation in multi-agent systems where there is both belief updating based on direct evidence and also belief combination between agents. In…

cs.CR2017★ 3 cited

A dynamic resource allocation decision model for IT security

Lotfi Hajjem, Salah Benabdallah, Fouad Ben Abdelaziz

Today, with the continued growth in using information and communication technologies (ICT) for business purposes, business organizations become increasingly dependent on their info…

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.CL2015★ 1 cited

Robust speech recognition using consensus function based on multi-layer networks

Rimah Amami, Ghaith Manita, Abir Smiti

The clustering ensembles mingle numerous partitions of a specified data into a single clustering solution. Clustering ensemble has emerged as a potent approach for ameliorating bot…

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…