Book
Heni Bouhamed, L’Apprentissage Automatique : de la Sélection de Variables à l’Apprentissage de Structure d’un Classifieur Bayésien. Presse Académique Francophone, ISBN 3838142551, 9783838142555, Edition 2014.
Publications in international journals
[6] Heni Bouhamed, “Covid-19 cases and recovery previsions with Deep Learning nested sequence prediction models with Long Short-Term Memory (LSTM) architecture”, International Journal of Scientific Research in Computer Science and Engineering, Vol.8, Issue.2, pp.01-05, April (2020).
[5] Heni Bouhamed and Yassine Ruichek, « Deep feedforward neural network learning using Local Binary Patterns histograms for outdoor object categorization », Advances In Modelling And Analyses B, (to appear in 2018)
[4] Seifeddine Mechti , Rim FAIZ , Maher Jaoua , Heni Bouhamed , Lamia Hadrich Belguith. Author profiling: Age prediction based on advanced Bayesian networks. Research in Computing Science, Volume 110, 2016, pages 129-137.
[3] Heni Bouhamed, Afif Masmoudi, Thierry Lecroq, Ahmed Rebaï, Reducing the structure space of Bayesian classifiers using some general algorithms, Journal of Mathematical Modelling and Algorithms in Operations Research, Springer, Volume 14, Issue 2, june 2015, pages 197-237.
[2] Heni Bouhamed, Afif Masmoudi, Thierry Lecroq, Ahmed Rebaï, Structure space of Bayesian networks is dramatically reduced by subdividing it in sub-networks, Journal of Computational and Applied Mathematics, Elsevier, Volume 287, 15 October 2015, pages 48-62.
[1] Heni Bouhamed, Thierry Lecroq, Ahmed Rebaï. New Filter method for categorical variables’ selection. International Journal of Computer Science Issues (IJCSI), Vol. 9, Issue 3, No. 2, May 2012. pages 10-19.
Publications as a books chapter
[2] Heni Bouhamed, Afif Masmoudi, Thierry Lecroq, Ahmed Rebaï. A New general learning structure approach of Bayesian networks from data. Lectures notes in computer science, 2012, Volume 7376, Machine Learning and Data Mining in Pattern Recognition, Springer, pages 183-197.
[1] Heni Bouhamed, Afif Masmoudi, Thierry Lecroq, Ahmed Rebaï. A new approach for Bayesian classifier learning structure via K2 Algorithm. Communications in Computer and Information Science, 2012, 1, Volume 304, Emerging Intelligent Computing Technology and applications, Springer, Part 11, pages 387-393.
Publications in international conferences
[7] Mariem kchaou, Lilia Romdhane, Heni Bouhamed. « Reduced algorithmic complexity when learning Bayesian classifier structure using score-based algorithms », The 5th International Conference on Control Engineering &Information Technology (CEIT-2017), volume 33, 8-13.
[6] Heni Bouhamed, Afif Masmoudi, Ahmed Rebai, Bayesian classifier structure-learning using several general algorithms, Proceedings of the International Conference on Information and Communication Technologies (ICICT 2014), ELSEVIER PROCEDIA, Volume 46, 2015, p, 476-482.
[5] Lilia Romdhane, Heni Bouhamed, Amel Louhichi, Sonia Abdelhak, Ahmed Rebai, Skin genetic disease genes: Patterns and Prediction, Proceedings of the 2st International Conference for Engineering Sciences for Biology and Medicine/Computer science in Biology and Medicine, 2015.
[4] Lilia Romdhane, Amel Louhichi, Heni Bouhamed, Sonia Abdelhak, Ahmed Rebai, Bioinformatic approach for genodermatosis genes study, Proceedings of the 1st International Conference for Engineering Sciences for Biology and Medicine/Computer science in Biology and Medicine, 2013, p, 88.
[3] Heni Bouhamed, Ahmed Rebaï, Thierry Lecroq, Maher Jaoua, A novel knowledge-discovering approach from massive data, Proceeding de la 7th International Conference on Data Mining (DMIN 2011), Las Vegas, Nevada, USA, 2011, p, 322-327.
[2] Heni Bouhamed, Ahmed Rebaï, Thierry Lecroq, Maher Jaoua, Data-organization before learning Multi-Entity Bayesian Networks structure, International Conference on Pattern Recognition and Computer Vision (ICPRCV), Proceeding of World Academy of Science, Engineering and Technology,78, 2011, p, 305-308.
[1] Heni Bouhamed, Thierry Lecroq, Ahmed Rebai, Maher Jaoua, Improving algorithms for knowledge Discovery in Genetics Databases, Proceeding de la 22nd International Workshop on Database and Expert Systems Applications (DEXA\BIOKDD), 2011, p, 407-410.