Afif Masmoudi

Orcid: 0000-0003-1665-5354

According to our database1, Afif Masmoudi authored at least 34 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed.
J. Biomed. Semant., December, 2024

Gamma-lindley regression cure model for corporate credit default prediction.
Expert Syst. Appl., 2024

2023
Tweedie hidden Markov random field and the expectation-method of moments and maximisation algorithm for brain MR image segmentation.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2023

2022
Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model.
Entropy, 2022

MeSH2Matrix: Machine learning-driven biomedical relation classification based on the MeSH keywords of PubMed scholarly publications.
Proceedings of the 12th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 44th European Conference on Information Retrieval (ECIR 2022), 2022

2020
Unsupervised Image Segmentation Using THMRF Model.
Proceedings of the Hybrid Intelligent Systems, 2020

2019
Model selection in biological networks using a graphical EM algorithm.
Neurocomputing, 2019

A new class of continuous Bayesian networks.
Int. J. Approx. Reason., 2019

Credit risk modeling using Bayesian network with a latent variable.
Expert Syst. Appl., 2019

2018
Singular Gaussian graphical models: Structure learning.
Commun. Stat. Simul. Comput., 2018

2017
Impact of a priori MS/MS intensity distributions on database search for peptide identification.
Digit. Signal Process., 2017

Towards Probabilistic Simulation of Tandem Mass Spectrometry Fragmentation Applied for Peptide Identification.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
A finite mixture model of geometric distributions for lossless image compression.
Signal Image Video Process., 2016

Bayesian expectation maximization algorithm by using B-splines functions: Application in image segmentation.
Math. Comput. Simul., 2016

A New Semiparametric Finite Mixture Model-Based Adaptive Arithmetic Coding for Lossless Image Compression.
Circuits Syst. Signal Process., 2016

2015
A new arithmetic coding model for a block-based lossless image compression based on exploiting inter-block correlation.
Signal Image Video Process., 2015

An improved lossless image compression based arithmetic coding using mixture of non-parametric distributions.
Multim. Tools Appl., 2015

Reducing the Structure Space of Bayesian Classifiers Using Some General Algorithms.
J. Math. Model. Algorithms Oper. Res., 2015

Structure space of Bayesian networks is dramatically reduced by subdividing it in sub-networks.
J. Comput. Appl. Math., 2015

Bayesian approach for parameter estimation of the diagonal of the Modified Riesz Distribution.
Neurocomputing, 2015

A New Equilibrium Criterion for Learning the Cardinality of Latent Variables.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Discrete exponential Bayesian networks: Definition, learning and application for density estimation.
Neurocomputing, 2014

Implicit parameter estimation for conditional Gaussian Bayesian networks.
Int. J. Comput. Intell. Syst., 2014

Unsupervised multisensor image segmentation using consonant belief function.
Proceedings of the International Image Processing, 2014

An efficient adaptive arithmetic coding for block-based lossless image compression using mixture models.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
A proposed normalized B-spline density estimator and it application in unsupervised statistical image segmentation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Application of the variance-covariance matrix in natural exponential family to identify noise in signal.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A New Learning Structure Heuristic of Bayesian Networks from Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Discrete Exponential Bayesian Networks Structure Learning for Density Estimation.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

A New Approach for Bayesian Classifier Learning Structure via K2 Algorithm.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
Discrete Exponential Bayesian Networks: An Extension of Bayesian Networks to Discrete Natural Exponential Families.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Improving algorithms for structure learning in Bayesian Networks using a new implicit score.
Expert Syst. Appl., 2010

A new image cryptosystem based on chaotic map and continued fractions.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Inference in Signal Transduction Pathways Using EM Algorithm and an Implicit Algorithm: Incomplete Data Case.
J. Comput. Biol., 2009


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