Hasna Njah

Multim. Tools Appl., April, 2024

2023

Interpretable Bayesian network abstraction for dimension reduction.

[BibT_eX]

[DOI]

Neural Comput. Appl., May, 2023

Merits of Bayesian networks in overcoming small data challenges: a meta-model for handling missing data.

[BibT_eX]

[DOI]

Hanen Ameur

Int. J. Mach. Learn. Cybern., January, 2023

2021

Breaking the curse of dimensionality: hierarchical Bayesian network model for multi-view clustering.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2021

2019

Deep Bayesian network architecture for Big Data mining.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2019

2018

Using general linear model, Bayesian Networks and Naive Bayes classifier for prediction of Karenia selliformis occurrences and blooms.

[BibT_eX]

[DOI]

Ecol. Informatics, 2018

2016

Semi-hierarchical naïve Bayes classifier.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Bayesian approach to construct Context-Specific Gene Ontology: Application to protein function prediction.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016

2015

Weighted ensemble learning of Bayesian network for gene regulatory networks.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A New Equilibrium Criterion for Learning the Cardinality of Latent Variables.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2013

Weighted committee-based structure learning for microarray data.

[BibT_eX]

[DOI]