Publications

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F. Idlahcen et Idri, A., « Systematic Map of Data Mining for Gynecologic Oncology », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 466-475, 2022.
A. Iazzi, Rziza, M., et Thami, R. O. Haj, « Fall detection system-based posture-recognition for indoor environments », Journal of Imaging, vol. 7, 2021.
Aa Iazzi, Rziza, Ma, Thami, R. O. Hab, et Aboutajdine, Da, « A new method for fall detection of elderly based on human shape and motion variation », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10073 LNCS, p. 156-167, 2016.
A. Iazzi, Rziza, M., et Thami, R. O. H., « Fall detection based on posture analysis and support vector machine », in 2018 4th International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2018, 2018, p. 1-6.
A. Iazzi, Rziza, M., et Thami, R. O. H., « Efficient fall activity recognition by combining shape and motion features », Computational Visual Media, vol. 6, p. 247-263, 2020.
Aa Iazzi, Thami, R. O. Hb, et Rziza, Ma, « A novel approach to improve background subtraction method for fall detection system », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2016, vol. 2016-July.
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C. El Houssaini, Nassar, M., et Kriouile, A., « A Cloud Service Template for Enabling Accurate Cloud Adoption and Migration », in 2015 INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGIES AND APPLICATIONS (CLOUDTECH 15), 2015, p. 44-49.
E. C. Houssaini, Nassar, M., et Kriouile, A., « A cloud service template for enabling accurate cloud adoption and migration », in Proceedings of 2015 International Conference on Cloud Computing Technologies and Applications, CloudTech 2015, 2015.
A. Houmz, Mezzour, G., Zkik, K., Ghogho, M., et Benbrahim, H., « Detecting the impact of software vulnerability on attacks: A case study of network telescope scans », Journal of Network and Computer Applications, vol. 195, 2021.
M. E. Houari, Rhanoui, M., et Asri, B. E., « Hybrid big data warehouse for on-demand decision needs », in Proceedings of 2017 International Conference on Electrical and Information Technologies, ICEIT 2017, 2018, vol. 2018-January, p. 1-6.
E. M. Houari, Rhanoui, M., et B. Asri, E., « From Big Data to Big Knowledge: The art of making Big Data alive », in Proceedings of 2015 International Conference on Cloud Computing Technologies and Applications, CloudTech 2015, 2015.
M. El Houari, Rhanoui, M., et Asri, B. El, « From Big Data to Big Knowledge: The Art of making Big Data Alive », in 2015 INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGIES AND APPLICATIONS (CLOUDTECH 15), 2015, p. 289-294.
M. Hosni, Idri, A., Abran, A., et Nassif, A. B., « On the value of parameter tuning in heterogeneous ensembles effort estimation », Soft Computing, p. 1-34, 2017.
M. Hosni, Idri, A., Abran, A., et Nassif, A. B., « On the value of parameter tuning in heterogeneous ensembles effort estimation », Soft Computing, vol. 22, p. 5977-6010, 2018.
M. Hosni, Idri, A., Nassif, A. B., et Abran, A., « Heterogeneous Ensembles for Software Development Effort Estimation », in Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016, 2017, p. 174-178.
M. Hosni, Idri, A., et Abran, A., « Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation », Journal of Software: Evolution and Process, vol. 31, 2019.
M. Hosni, de Gea, J. M. Carrillo, Idri, A., M. Bajta, E., Alemán, J. L. Fernández, García-Mateos, G., et Abnane, I., « A systematic mapping study for ensemble classification methods in cardiovascular disease », Artificial Intelligence Review, vol. 54, p. 2827-2861, 2021.
M. Hosni et Idri, A., « Software effort estimation using classical analogy ensembles based on random subspace », in Proceedings of the ACM Symposium on Applied Computing, 2017, vol. Part F128005, p. 1251-1258.
M. Hosni, Idri, A., et Abran, A., « On the value of filter feature selection techniques in homogeneous ensembles effort estimation », Journal of Software: Evolution and Process, vol. 33, 2021.
M. Hosni, García-Mateos, G., Carrillo-De-Gea, J. M., Idri, A., et Fernandez-Aleman, J. L., « A mapping study of ensemble classification methods in lung cancer decision support systems », Medical and Biological Engineering and Computing, vol. 58, p. 2177-2193, 2020.
A. Hmami, Fredj, M., et Sbaï, H., « Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach », International Journal of Advanced Computer Science and Applications, vol. 12, p. 632-640, 2021.
A. Hmami, Sbaï, H., et Fredj, M., « Enhancing change mining from a collection of event logs: Merging and Filtering approaches », in Journal of Physics: Conference Series, 2021, vol. 1743.
A. Hmami, Sbaï, H., et Fredj, M., « Applying change tree method in configurable process mining », in 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2022, 2022.
A. Hmami, Sbaï, H., et Fredj, M., « A new Framework to improve Change Mining in Configurable Process », in ACM International Conference Proceeding Series, 2020.
E. W. Hilali et A. Manouar, E., « Smart companies: How to reach sustainability during a digital transformation », in ACM International Conference Proceeding Series, 2018.

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